The Himss Data Scientist interview guide, interview questions, salary data, and interview experiences.

Himss Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Himss? The Himss Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Himss Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Himss.</li>
<li>Practice real Himss Data Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Himss Data Scientist interview.


Getting ready for an Data Scientist interview at Himss? The Himss Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Himss Data Scientist roles.
- Gain insights into the Data Scientist interview process at Himss.
- Practice real Himss Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Himss Data Scientist interview.
        

Overview

Himss Data Scientist Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Himss Data Scientist Interview Process

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Given a list of integers, find the index at which the sum of the left half of the list is equal to the right half. If there is no index where this condition is satisfied return -1.

Note: the number that lies on the index is calculated to the left side of the list.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>nums = [1, 7, 3, 5, 6]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>equivalent_index(nums) -&gt; 2
</code></pre>

In this example, the sum of the elements to the left of index 2 (1 + 7) is equal to the sum of the elements to the right of index 2 (5 + 6).

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>nums = [1,3,5]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>equivalent_index(nums) -&gt; -1
</code></pre>

In this example, there is no index where the sum of the elements to the left is equal to the sum of the elements to the right.

The task is to write a function that takes a list of integers as input and returns the index at which the sum of the integers to the left of the index is equal to the sum of the integers to the right. If no such index exists, the function should return -1.

Find the Index with Equal Left and Right Sum

Himss Data Scientist Interview Questions

Secure our Nation, Ignite your Future Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products is legal, safe, and secure. In response to this challenge, ManTech, as a trusted mission partner of CBP, seeks capable, qualified, and versatile Data Scientists to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy. This position potentially offers a flexible work schedule at the discretion of the customer. At this time, we are only accepting candidates who reside within a commutable distance to the DMV area. The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Further, highly competitive applicants will have a demonstrated capacity to: work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and, apply new and emerging tools and techniques. Within three - six months of joining the project, Data Scientists will be expected to: <ul><li>Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li><li>Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies.</li><li>Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li><li>Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li><li>Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li><li>Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting.</li></ul> Required Qualifications <ul><li>Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems</li><li>Experience with programming languages including: R, Python, Scala, Java.</li><li>Proficiency with SQL programming</li><li>Experience constructing and executing queries to extract data in support of EDA and model development</li><li>Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent</li><li>Experience with pattern recognition and extraction, automated classification, and categorization</li><li>Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)</li><li>Experience with unsupervised and supervised machine learning techniques and methods</li><li>Experience performing data mining, analysis, and training set construction</li></ul> Desired Qualifications <ul><li>Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li><li>Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li><li>Experience with pattern recognition and extraction, automated classification, and categorization</li><li>Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation)</li><li>Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI)</li><li>Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)</li><li>Master's Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience</li></ul> Minimum Qualifications: <ul><li>HS Diploma/GED and 15+ years AS/AA and 13-18 years BS/BA and 7-12 years MS/MA/MBA and 5-9 years PhD/Doctorate and 3-7 years</li></ul> Certification: <ul><li>None</li></ul> Clearance: <ul><li>Selected applicants must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability.</li></ul> The projected compensation range for this position is $99,200-$164,600. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, ManTech invests in it's employees beyond just compensation. ManTech's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. For all positions requiring access to technology/software source code that is subject to export control laws, employment with the company is contingent on either verifying U.S.-person status or obtaining any necessary license. The applicant will be required to answer certain questions for export control purposes, and that information will be reviewed by compliance personnel to ensure compliance with federal law. ManTech may choose not to apply for a license for such individuals whose access to export-controlled technology or software source code may require authorization and may decline to proceed with an applicant on that basis alone. ManTech International Corporation, as well as its subsidiaries proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law. If you require a reasonable accommodation to apply for a position with ManTech through its online applicant system, please contact ManTech's Corporate EEO Department at (703) 218-6000. ManTech is an affirmative action/equal opportunity employer - minorities, females, disabled and protected veterans are urged to apply. ManTech's utilization of any external recruitment or job placement agency is predicated upon its full compliance with our equal opportunity/affirmative action policies. ManTech does not accept resumes from unsolicited recruiting firms. We pay no fees for unsolicited services. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.mantech.com/careers/Pages/careers.aspx as a result of your disability. To request an accommodation please click careers@mantech.com and provide your name and contact information.

Technical Data Scientist/ETL Engineer at GovCIO in Boise, Idaho, United States Job Description Overview GovCIO is currently hiring forETL Engineer (or Data Scientist) to join our ETL Team focused on ingesting and visualizing data from all over the cloud and alerting on deviations of normalization. This position will be located in Hanover, MD and will be a fully remote position. Responsibilities Develops, inspects, mines, transforms, and analyzes data to create descriptive and predictive models that impact productivity, decision making, and provide strategic mission impact. Data Integration - Applies data wrangling tools including ETL, ELT, and programming languages to collect and blend data from operational and relevant external systems. Data Analysis - Applies data mining, machine learning, and statistical analysis on data to create predictive and descriptive models. Applies and integrates these models to develop segmentation, clustering, forecasting, classification and other models. Data Visualization - Applies Data discovery and data visualization tools to interpret and present the findings in a compelling and usable manner. Maintains and integrates analytical systems with operational systems, verifies the accuracy of the data and analytics. Interacts with both business and data SMEs. + Generates new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets. + Collects and transforms structured, unstructured, relational, and NoSQL data using ETL and ELT tools as well as develops custom code using programming languages. Understands and uses distributed (e.g. MapReduce) methods that scale to multi-Terabyte sized data collections. + Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib). + Interprets and evaluates accuracy of results through iterative, agile methods. + Applies data discovery and data visualization tools (e.g. Tableau, Trifacta) to develop compelling, actionable, useful data stories. + Works closely with data SMEs, business, and management to prioritize business and information needs. Qualifications HS Diploma with 9+ years experience/professional Clearance: Secret Will accept a strong candidate but must be able to obtain a Top Secret clearance. Required Skills and Experience + Must have or obtain IAT level II/III certification & CE Certificate (i.e., CompTIA Security+(CE)) + Demonstrated experience or certifications in Linux and/or AWS GovCloud technologies Preferred Skills and Experience + Strong interpersonal skills to collaborate with customers and internal cross-functional teams + Experience with virtual and/or cloud based servers and applications (AWS GovCloud Specific) + Excellent technical documentation and reporting skills + Effective written and oral communication skills + Experience working in an Agile environment + Certification(s) in relevant technologies + Active Top Secret Company Overview GovCIO is a team of transformers-people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an 'at-will position' and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range USD $160,000.00 - USD $180,000.00 /Yr. Submit a referral to this job (Location US-Remote ID 2024-4637 Category IT Infrastructure & Network Engineering & Operations Position Type Full-Time To view full details and how to apply, please login or create a Job Seeker account

West Creek 4 (12074), United States of America, Richmond, VirginiaSenior Associate, Data Scientist - Enterprise Tech AnalyticsData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea. Technical. Youre comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. Youve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. Big data doesnt faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications:<ul><li>Currently has, or is in the process of obtaining a Bachelors Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining Masters Degree, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date</li><li>At least 1 year of experience in open source programming languages for large scale data analysis</li><li>At least 1 year of experience with machine learning</li><li>At least 1 year of experience with relational databases</li></ul> Preferred Qualifications:<ul><li>Masters Degree in STEM field (Science, Technology, Engineering, or Mathematics), or PhD in STEM field (Science, Technology, Engineering, or Mathematics)</li><li>Experience working with AWS</li><li>At least 2 years experience in Python, Scala, or R</li><li>At least 2 years experience with machine learning</li><li>At least 2 years experience with SQL</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Locations: VA - McLean, United States of America, McLean, VirginiaPrincipal Data ScientistData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Role DescriptionIn this role, you will:<ul><li>Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data</li><li>Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>The Ideal Candidate is:<ul><li>Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day its about making the right decision for our customers.</li><li>Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.</li><li>A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>Technical. Youre comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>Statistically-minded. Youve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>A data guru. Big data doesnt faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>Basic Qualifications:<ul><li>Currently has, or is in the process of obtaining a Bachelors Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Masters Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date</li><li>At least 1 year of experience in open source programming languages for large scale data analysis</li><li>At least 1 year of experience with machine learning</li><li>At least 1 year of experience with relational databases</li></ul>Preferred Qualifications:<ul><li>Masters Degree in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in STEM field (Science, Technology, Engineering, or Mathematics)</li><li>At least 1 year of experience working with AWS</li><li>At least 3 years experience in Python, Scala, or R</li><li>At least 3 years experience with machine learning</li><li>At least 3 years experience with SQL</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead the future of dental care. Overjet is the global leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we're looking for talented people to fulfill our mission: improve oral health for all. Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you. Simply put, there's no better place to accelerate your career. Come join us! The Role Overjet is looking for an experienced Data Scientist to join our Data & Analytics team. You'll work shoulder to shoulder with our data engineers, data scientists, and customer success teams to deliver for our enterprise customers. You'll have significant input into how the company develops its analytics architecture to better support internal and external stakeholders at scale. Responsibilities <ul><li>Collaborate with cross-functional teams to gather requirements, design analytical solutions, and deliver actionable insights to support business objectives.</li><li>Utilize Python, SQL, business intelligence tools, and statistical techniques to analyze large and complex data sets, identifying trends, patterns, and opportunities for optimization.</li><li>Collaborate on the construction and maintenance of data pipelines and ETL processes to ensure data integrity, quality, and observability</li><li>Serve as a trusted advisor to external customers, providing expertise on analytics best practices and helping them derive value from Overjet's unique data.</li><li>Stay informed about industry trends and emerging technologies to ensure that our analytics capabilities remain cutting-edge.</li><li>Collaborate with data scientists, data engineers, and product managers on data products, dashboards, and the company's data infrastructure.</li><li>Create strong documentation and dictionaries to ensure users interpret KPIs and data in consistent manners</li><li>Ability to thrive in a fast-paced, technical, and mission focused environment</li></ul> Qualifications <ul><li>Excellent academic background in Computer Science, Mathematics, Statistics, or a related field.</li><li>Significant experience with increasing levels of responsibility working in data analytics/science.</li><li>Excellent technical proficiency in Python, SQL, and data transformation tools.</li><li>Strong familiarity with data visualization tools such as Looker, Sigma, Tableau, or Power BI.</li><li>Experience leading engagements with external customers on analytics projects, creating compelling data presentations, and mastery of working with senior leaders</li><li>Background in healthcare is a plus.</li><li>Excellent communication skills with the ability to translate complex technical concepts into easily understandable insights for non-technical stakeholders.</li><li>Strong problem-solving skills and attention to detail.</li><li>Experience working in SaaS, B2B software, or at a prior high-growth start-up is a plus.</li></ul> Why Overjet? <ul><li>Competitive Compensation and Equity</li><li>Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location</li><li>401k plans with a matching program</li><li>Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered</li><li>Life and AD+D Insurance </li><li>8 weeks Paid Parental Leave </li><li>Optional HSA with Employer contribution</li><li>Flexible Time Off and company paid holidays</li><li>Annual Learning and Development Stipend</li><li>Work from Home Stipend</li></ul> Our Hybrid Workplace We have a unique hybrid workplace at Overjet - which combines the teamwork of meeting in person, with the flexibility of working from anywhere. Many of our positions are based in Palo Alto, New York City, Boston, and Lahore. The Jetsetters who live in these "geo-hubs" come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week. Our People Team is happy to answer any questions about what hybrid work means for your specific role! Overjet's Values <ul><li>Excellence: We set ambitious goals and strive for excellence.</li><li>Velocity: We focus, act with urgency, and deliver results.</li><li>Ownership: We take ownership, dive deep and solve problems.</li><li>Win-win: We play to win, setting ourselves and our customers up for success.</li><li>Growth: We stay curious, seek feedback, and continuously learn and grow.</li></ul> Company Recognition <ul><li>Certified as a Most Loved Workplace by the Best Practice Institute</li><li>Won Best New Technology Solution for Dentistry at the 2024 MedTech Breakthrough Awards</li><li>Honored as one of the 2024 Best Places to Work by Built In</li><li>Recognized as one of the Top Startups of 2023 by LinkedIn</li><li>Named one of the 2023 World's Most Innovative Companies by Fast Company</li><li>Included on the definitive 2022 Forbes AI 50</li><li>Featured in Bloomberg, Forbes, Fast Company, and TechCrunch</li></ul>EEOC Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! If you are a Colorado resident: Please contact us by emailing recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.

GA-CCRi was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in! GA-CCRi is seeking Data Scientists to join our core product team, shaping the future of situational awareness capabilities for our customers. Our teams leverage cutting-edge technology to process petabytes of data and extract features in near real time, all while providing a rich, live view of objects on land, sea, and sky. Join our growing team in taking our systems to the next level, giving end-users the power to see beyond the data and truly understand the world around them. Duties and Responsibilities <ul> <li>Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse 'big data' sources to generate actionable insights and solutions for client services and product enhancement.</li> <li>Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.</li> <li>Communicate insights and findings from analysis and experiments to product, service, and business managers.</li> <li>Recommend solutions to moderately complex technical and procedure issues.</li> <li>Identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action</li> <li>Create and utilize highly complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements. </li> <li>Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.</li> <li>Interact with product and service teams to identify questions and issues for data analysis and experiments.</li> <li>Document findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.</li> <li>Represent the organization as a contact with internal and external representatives. </li> <li>Maintain the strict confidentiality of sensitive information. </li> <li>Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices. </li> </ul> Requirements Required Skills and Qualifications <ul> <li>Willing to obtain Top Secret/SCI clearance with CI Poly</li> <li>Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows;nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. </li> <li>May substitute equivalent experience in lieu of education. </li> <li>Must have an extensive understanding of data science concepts, principles, theory, and practice with experience demonstrating a broad application of those concepts; and, expanding knowledge of principles, concepts, theory, and practices in related technical specialties. </li> <li>Must be able to work both independently and in a team environment. </li> <li>Able to work extended hours as required. </li> </ul> Desired Skills and Experience <ul> <li>Active TS/SCI Clearance with CI Poly</li> <li>Familiarity with common machine learning libraries for implementation (sklearn, weka, tensorflow, torch, etc) </li> <li>Proficiency in one or more of: Python, Scala, Java, R, Julia, Matlab </li> <li>Ability to understand and implement new models from the literature </li> <li>Experience with distributed analytics and processing (Spark, Hadoop, ...) </li> <li>Experience with geospatial data and analytics.</li> <li>Experience with Kalman Filtering</li> <li>Familiarity with Intelligence Community and DoD mission sets.</li> </ul> Travel Percentage Required None Relocation Assistance Provided Yes US Citizenship Required Yes Clearance Required Willing to obtain TS/SCI with CI Poly Clearance Level Top Secret/SCI Salary Range $140,000-$215,000 Benefits <ul> <li>Casual Work Environment.</li> <li>Intellectually Challenging Work.</li> <li>Health Insurance including FSA, HSA and Tricare Supplement options.</li> <li>Short/Long Term Disability Insurance.</li> <li>Generous Defined Retirement Benefit, including both a 401K match and pension plan.</li> <li>Very Flexible Vacation Policy.</li> <li>The job description above is not intended to be comprehensive list. Responsibilities, activities, duties, and/or tasks may change or be assigned at any time.</li> <li>CCRi is committed to a diverse and inclusive workforce because we know that our differences benefit our employees, our customers, and our community. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, age, sex, sexual orientation, gender identity, national origin, status as a an individual with a disability, status as a protected veteran, or any other applicable legally protected characteristics. </li> </ul>

Data Scientist Cupertino,California,United States Sales and Business Development Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Apples Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's US Decision Intelligence (DI) team is looking for a talented individual who is passionate about crafting, implementing, and operating solutions that have a direct and measurable impact on Apple Sales and its customers. As a US DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and trailblazing new data science projects across our RTMs, crafting analytical experiences that transform data into insights and catalyze better decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science solutions. **Description** In this role, you will: - Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data scientists, data engineers, software developers, and business stakeholders. - Successfully connecting analytics and business, with the ability to speak the language of both. - Influence upstream data model design, drive KPIs definitions, and develop your e2e data solutions as needed. - Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress. - Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data. - Leverage available ML/AI models and frameworks across the company. **Minimum Qualifications** + BS or MS in Computer Science or equivalent industry experience. + 3+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design. + Applied knowledge of statistical data analysis, predictive modeling classification, time series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis. + Experience with anomaly detection, root cause analysis, and causal inference models. + Experience articulating and translating business questions into data solutions. + Proficiency in SQL and experience with at least one major data platform, such as Hadoop, Spark, or Snowflake. + Expertise with data visualization tools (such as Tableau, D3, Plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, Extensions, and CSS is a plus. + Proficiency in programming languages and tools like Python, R, Git, Airflow, and notebooks. + Ability to develop dynamic presentations that tell a compelling story. **Key Qualifications** **Preferred Qualifications** + Strong time management skills with the ability to collaborate across multiple teams. + Able to balance competing priorities, long-term projects, and ad hoc requirements. + Ability to work in a fast-paced, dynamic, and constantly evolving business environment. + Strong understanding of data modeling, data warehousing, and ETL concepts. Dataiku experience is a plus. + Experience with data integration, data management, and data governance tools. + Great understanding of design processes and design systems. + Familiarity with cloud and Gen AI paradigms. + Experience with cross-functional teams on building and deploying semantic layers for LLMs is a plus. **Education & Experience** **Additional Requirements** **Pay & Benefits** + At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $136,300 and $205,500, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. + Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If youre applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day. One Confluent. One team. One Data Streaming Platform. Data Connects Us. **About the Role:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a high-growth company. As a Product Data Scientist at Confluent, you will be a key player in helping define the experiences and driving product strategy at Confluent. You will collaborate with our Product leadership team and cross-functional partners across the Data organization. You will use data and analysis to identify and solve product developments challenges, unlocking growth of our product adoption funnel. This role requires a strong blend of technical skills, strategic thinking and communication skills to influence product strategy and investment decisions. **What You Will Do:** + Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives. + Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders. + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps. + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 3+ years of experience in Product Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL). Proficiency in scripting languages (e.g. Python) preferred. + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience and familiarity with A/B testing and experiment best practices + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Experience in SaaS/Product-led Growth companies **Come As You Are** At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $139,230 - $163,620, an annual bonus, and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) . Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees. #LI-Remote

Locations: VA - McLean, United States of America, McLean, VirginiaManager Data ScientistData is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.Role DescriptionIn this role, you will:<ul><li>Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data</li><li>Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>The Ideal Candidate is:<ul><li>Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day its about making the right decision for our customers.</li><li>Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.</li><li>A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. Youre passionate about talent development for your own team and beyond.</li><li>Technical. Youre comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>Statistically-minded. Youve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li><li>A data guru. Big data doesnt faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.</li></ul>Basic Qualifications:<ul><li>Currently has, or is in the process of obtaining a Bachelors Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Masters Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date</li><li>At least 2 years experience in open source programming languages for large scale data analysis</li><li>At least 2 years experience with machine learning</li><li>At least 2 years experience with relational databases</li></ul>Preferred Qualifications:<ul><li>PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics</li><li>At least 1 year of experience working with AWS</li><li>At least 4 years experience in Python, Scala, or R for large scale data analysis</li><li>At least 4 years experience with machine learning</li><li>At least 4 years experience with SQL</li></ul>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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