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

Coda Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Coda? The Coda Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Coda Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Coda.</li>
<li>Practice real Coda 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 Coda Data Scientist interview.


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

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

Overview

Coda 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.

Coda 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

Let’s say that you’re working on a job recommendation engine. You have access to all user Linkedin profiles, a list of jobs each user applied to, and answers to questions that the user filled in about their job search.

Using this information, how would you build a job recommendation feed?

What problem can arise in job recommendation systems with regard to initial recommendations?

What problem can arise in job recommendation systems with regard to initial recommendations?

Job Recommendation

Coda Data Scientist Interview Questions

About the Company Octave Bioscience is developing a suite of novel measurement tools that feed into structured analytical data models aimed at improving care management decisions to create better patient outcomes at lower costs. We are focusing our efforts on neurodegenerative disease, starting with multiple sclerosis (MS), to bring direct, positive impact to people’s lives. We are delighted to be expanding our work to Parkinson’s Disease (PD) as the next neurodegenerative disease to tackle. As a team, we constantly learn together and seek new solutions, operating in areas that are unknown. We share a common mission and build our flywheel from the diverse backgrounds of our collaborators. About the Role To develop our quantitative capabilities, we are seeking a data scientist to help deliver solutions across very diverse data sets. We are seeking a candidate with strong expertise in bioinformatics, data analytics, and machine learning/artificial intelligence capabilities. The data scientist will be primarily responsible for providing recommendations and delivering actionable insights in our proteomic biomarker program. The ideal candidate should have a strong statistical and machine learning background (with experience in applications to biology), as well as good collaboration, documentation and communication skills. Our mission requires constant iteration of the company’s approach to both biology and data science as well as passion to work in a regulated healthcare environment. Responsibilities <ul><li>Accountable for the development of data analytics tools, predictive models, and emergent insight capabilities that make use of complementary and complex data sets.</li><li>Use software tools to build algorithms and models, and draw actionable insights from large data sets.</li><li>Build predictive models across multiple areas of interest with a strong emphasis on biology of neurodegenerative diseases.</li></ul> Technical Skills <ul><li>Minimum:</li><li>Experience with analysis of large scale proteomic and/or genomic data sets</li><li>Experience with supervised and unsupervised machine learning approaches, including but not limited to classification, regression, clustering, and other forms of anomaly detection/pattern recognition</li><li>Direct experience with coding in Python or R</li><li>Comfortable dealing with dimensionality reduction, cross validation, and augmentation of small datasets under uncertainty</li><li>Experience in using warehousing, data lake and big data tools (e. g., S3, Apache Spark, BigQuery, Hadoop)</li><li>Experience interpreting biological statistics and translating them to clear relationships of clinical outcomes for clinical and business stakeholders</li><li>Self-driven and intellectually curious to solve challenging problems</li><li>Collaborate with multiple teams (internally and externally)</li><li>Strong team player willing to learn new platforms and tools</li><li>Preferred:</li><li>Experience with Databricks</li><li>Experience in modeling biochemical networks, especially at the cellular and protein level</li><li>Preparation and presentation of journal manuscripts, research papers, posters, at scientific and academic conferences</li><li>Familiarity with brain neurophysiology and modeling mammalian cells like neurons</li><li>Familiarity with neurodegenerative disease pathophysiology, specifically Parkinson's</li><li>Experience in artificial neural networks (including convolutional) methodologies and technologies (Spark, TensorFlow, Keras, etc)</li><li>Experience in visualization tools (e.g., Candela, Periscope, Spark, D3, Google Chart, ggplot, Tableau)</li></ul> Qualifications <ul><li>Minimum:</li><li>Master of Science in Computer Science, Biology or in a related science, technology, engineering, or pure/applied math discipline</li><li>Experience and passion to work in a fast-paced agile engineering environment and start-up</li><li>Dedication and perseverance to find insights and data-driven predictive solutions</li><li>Preferred:</li><li>A background in computational and/or systems biology</li><li>Experience working in the life science industry - therapeutic development, diagnostics, companion diagnostics</li><li>PhD in Computer Science or in STEM Majors (Science, Technology, Engineering and Math)</li><li>Direct experience with compliance to ISO 13485, 62304, 27000, GDPR, HIPAA, CLIA, FDA 510K, SaaMD, 21 CFR part 11, or other industry related regulations/standards</li></ul> Pay range and compensation package The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including skill sets; experience and training; licensure and certifications; and other business and organizational needs. Our salary ranges are determined by role, level, and location. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. At Octave, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $150,000 to $200,000 per year. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Please note that the compensation details listed in posting reflect the base salary only, and do not include bonus, equity, or benefits. Equal Opportunity Statement WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.

The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions. The Data Scientists responsibilities include collaborating with internal and external stakeholders to identify insight requirements and applying creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative data products. The Data Scientist will be a champion of the latest and greatest Machine Learning and Artificial Intelligence technologies, with a specialization in Generative AI. What you will do: + Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products. + Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis. + Build, evaluate and optimize models which incorporate machine learning, artificial intelligence, and Generative AI. + Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue. + Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation. + Build expert knowledge of the various data sources brought together for audience segmentation solutions survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data. + Work with Product and Engineering teams to transition development projects to production systems. + Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences. + Provide mentorship and guidance to data scientists where necessary. **Required Skills:** + Expert-level experience with Adobes analytics tools (e.g., Adobe Journey Analytics) and third-party SaaS tools (e.g., Databricks, R). + Experience with applying statistics and data science tools on large datasets. + Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques. + Specialization in Generative AI. + Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches. + Extensive experience with data preparation (normalization, scaling, etc.) for modeling. + Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate. + Exposure to Spark/PySpark systems in a distributed computing environment. + SQL mastery, including techniques for writing efficient code over large datasets. + Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models. + Excel at handling both structured and unstructured data. + Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry. + Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines. + Bachelors Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Masters Degree in a quantitative field and relevant work experience. **Qualifications:** + Bachelors Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Masters Degree in a quantitative field and relevant work experience. + Proven experience in developing and implementing machine learning models in a business environment. + Demonstrated ability to handle complex data sets and perform sophisticated data analysis. + Strong programming skills in Python and/or R. + Experience with APIs and integrating them into data solutions. + Advanced proficiency in Excel for data analysis and reporting. + Familiarity with Large Language Models (LLMs) and their applications. + Strong SQL skills for database management and data manipulation. + Strong problem-solving skills and ability to think creatively and critically about data. + Excellent communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders. + Ability to work collaboratively in a team environment and mentor junior data scientists. + Self-motivated with a strong desire to learn and stay updated with the latest advancements in data science and machine learning technologies. **Primary Location City/State:** Homebased - Conway, Arkansas **Additional Locations (if applicable):** Mexico City Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https:////www.acxiom.com/wp-content/uploads/2023/01/CCPA-CPRA-Notice-for-Employees-Eff-01012023.pdf) . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com . We are leaders in helping brands achieve the number one mantra for every business know your customer. For fifty years, weve helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business. Were one of the marketing industrys most experienced, respected and forward-thinking leaders. For nearly fifty years, weve helped the worlds best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel. Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether youre an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out. At Acxiom, our values begin with our associates, who are the single most important driver of our success. Were looking to hire people who share our core values: collaboration, excellence, innovation, a focus on outcomes, and being empowered to make and own decisions that benefit our clients and our company. Our values represent our brand promise to our clients and to our associates and define our company culture. If you are interested in applying for employment with Acxiom and need special assistance or an accommodation to apply for a posted position, contact our recruiting department at 1-877-314-2049. **We highly recommend you create an account to monitor your resume submissions. Click on the Sign In link above to create an account or sign up at the end of your application.** Interested in Acxiom? Learn about our Equal Opportunities, job postings, and more: About Us (https://www.acxiom.com/about-us/) Follow Us on Twitter Find Us on Facebook (http://www.facebook.com/AcxiomRecruiting) Careers Page LinkedIn (http://www.linkedin.com/company/acxiom) Internal applicants need to apply for open positions through their Workday account. Please log into Workday and use the **Find Jobs** report to search for and apply for positions posted internally. For questions, please contact the recruiter listed on the job posting. Attention California Applicants: Please see our CCPA/CPRA Privacy Act notice here (https://www.acxiom.com/wp-content/uploads/2023/01/CCPA-CPRA-Notice-for-Employees-Eff-01012023.pdf) . Attention Colorado, California, Connecticut, Maryland, Nevada, New York City, Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com . Attention Mexico Applicants: Please see our Privacy Policy notice here (https://www.acxiom.com/wp-content/uploads/2023/07/ACXIOM_MX_AVISO_DE_PRIVACIDAD_EMPLEADOS_Privacy_Notice_Workday.pdf) .

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

Position Summary: INFORMATION TECHNOLOGY: GreenState's Information Technology department adheres to the corporate values and acts as a business partner who understands the needs of the business, enables business units to meet strategic objectives through technology, and provides employees and members with quality technology platforms that are always available, always relevant, and always scalable. POSITION SUMMARY:The Senior Data Scientist is responsible for leading and developing advanced statistical analysis, machine learning, and data mining techniques to extract valuable insights from complex data. This role is crucial to enabling data-driven decision making processes within the organization, translating data into actionable strategies that solve business challenges. Working regularly with IT teammates, stakeholders from front-line staff to executives, this role is tasked with understanding business problems and uncovering problems and proposing solutions. GREENSTATE CULTURE:At GreenState, we exist to create lasting value for those we serve. We do this by putting immense value into our employees, members and communities. We empower our employees to create endless opportunities, which will then impact the lives of our members and enhance the vitality of our communities. GreenState does not provide any work sponsorship. Salary range for this position is $137,492.42 - $184,020.72 with a progressive benefit package. Essential Duties and Responsibilities: ESSENTIAL JOB DUTIES AND RESPONSIBILITIES: Performs essential duties and responsibilities in the following areas which may include but are not limited to those listed and are subject to change.<ol><li>Adheres to the Credit Union's core values and Service Standards in conducting GreenState's mission and vision. </li><li>Demonstrates a positive member service (internal and external) focus at all times. </li><li>Demonstrates teamwork in all interactions with coworkers and in the completion of all duties and responsibilities. </li><li>Ensures confidentiality of member information. </li><li>Supports a diverse and inclusive work environment. </li><li>Lead initiatives to analyze and interpret complex financial data sets, uncovering trends, patterns, and insights that drive business decisions and strategy. </li><li>Develop and implement machine learning models and algorithms to predict member behavior, assess credit risk, detect fraud, and optimize business processes. </li><li>Collaborate with cross-functional teams, including business analysts, data engineers, and IT professionals, to design and implement data-driven solutions that address business challenges and opportunities. </li><li>Procure datasets from internal and external sources, including SQL Server databases, APIs, and third-party vendors, and work with architecture and engineering teams to develop necessary datasets to stage for machine learning. </li><li>Conduct advanced statistical analyses, hypothesis testing, and experimentation to validate and refine predictive models and algorithms. </li><li>Communicate findings and recommendations to key stakeholders, including executives, managers, and business partners, through compelling data visualizations, reports, and presentations. </li><li>Stay current with industry trends, best practices, and emerging technologies in data science and financial services, and contribute to the continuous improvement of data science capabilities within the organization.</li></ol> Job Requirements/Expectations: <ol><li>Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field; advanced degree (Master's or Ph.D.) preferred.</li><li>Minimum of 6 years of experience in data science, machine learning, or quantitative analysis, with a focus on the financial industry.</li><li>Proficiency in programming languages such as Python, R, and SQL, as well as data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).</li><li>Experience with Microsoft data solutions including Azure DB, Synapse, Databricks and Power BI.</li><li>Strong understanding of statistical methods, machine learning algorithms, and data mining techniques, with experience applying them to real-world problems.</li><li>Experience with SQL Server databases and the ability to write complex SQL queries to extract and manipulate data.</li><li>Experience procuring datasets from internal and external sources and working with architecture and engineering teams to develop necessary datasets for machine learning.</li><li>Experience with financial data analysis, including credit risk modeling, fraud detection, customer segmentation, and marketing analytics.</li><li>Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.</li><li>Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced, dynamic environment.</li><li>Strong team player with interest in mentorship and a strong desire for continued learning. </li></ol> Reporting Relationship: Reports to the IT Director Data Services and Development. Supervisory Responsibilities: This position is not responsible for the supervision of others Equal Opportunity Employment Statement: GreenState Credit Union is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. #ID #LI

Recognized as the leading software development company in the Americas, our client offers 100% remote modality and an excellent work environment in which employees can thrive, work in multicultural teams, with flexible schedules and endless growth opportunities. About the Role:We are looking for Data Science Seniors to join our Development team and participate in different projects made up of multicultural teams distributed throughout the world. We are looking for proactive people, team players passionate about programming in this language and oriented to provide the best experience to the end user. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing companies in the industry! These developers will face numerous technical challenges, so they must use current technologies, get involved in the mobile world, web applications, devices, etc. Main Activities:- Work together with developers, tech leads and solution architects to build applications.- Improve existing structures by adding new functionalities or proposing technological updates so that as a result, the impact of your contribution is significant in the core of each business.- The result of your work will also allow you to improve the user experience on scalable and high availability platforms, contributing to the key differential of each business. Requirements:- 6+ years of experience working as a developer.- 5+ years of experience working as a Data Scientist.- Proficient with analysis, troubleshooting, and problem solving.- Hands-on experience with managing data loads and data quality is a plus.- Advanced English level. Benefits:- 100% remote work.- Flexible hours - make your own schedule!- Diverse and multicultural work environment.- Paid parental leave, vacation & holidays.- Hardware setup for you to work from home. - Excellent compensation — well above the market average.- Extensive opportunities for growth and professional development thanks to our mentoring system. Enjoy the opportunity to have a dynamic lifestyle, better health, and wellness. Find renewed passion in your job, improve your productivity, and benefit from attractive growth opportunities for your career. If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, but with the structure and resources of a multinational market leader, do not hesitate to apply!

Senior AI/ML Data ScientistLocation: Windsor Mill, MD (Hybrid – 2 days onsite per week)Public Trust takes 3-4 weeks Key Required Skills: Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI, and experience with clinical Domain. Position Description <ul><li>Staying updated on the new methods in NLP, ML and Generative AI</li><li>Understanding real-world challenges and developing automated data solutions</li><li>Developing, testing, and deploying new techniques for NLP understanding</li><li>Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)</li><li>Training and optimizing NLP/LLM models and creating Python-based pipeline.</li><li>Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.</li><li>Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.</li><li>Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.</li><li>Provide accurate, timely, complex, and sophisticated data analysis.</li></ul> Detailed Skills RequirementsFOUNDATION FOR SUCCESS (Basic Qualifications)<ul><li>Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on NLP, data science, AI/ML/LLM engineering.</li></ul> FACTORS TO HELP YOU SHINE (Required Skills)<ul><li>Experience with Natural Language Processing (NLP), Generative AI and Large Language Models (LLM)</li><li>Fluency in Python Programming, version control and collaboration with GIT, standard python packages (ex. Pandas, numpy, matplotlib) and ML frameworks</li><li>Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.</li><li>Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.</li><li>Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.</li><li>Experience with ML model deployment and operations like Devops, MLOps, LLMOps.</li><li>Experience with NLP and Generative AI libraries like regular expressions (like spacy, langchain), text annotation tools and semantic frameworks.</li><li>Experience with statistical and machine learning software such as pandas and scikit-learn.</li><li>Prior experience working on applications that relates to clinical domain.</li><li>Ability to clean and process large amounts of real-world data.</li><li>Experience retrieving and manipulating data from a variety of data sources included Db2, Oracle, SQL Server, Hadoop and flat files.</li><li>Experience with database management systems, e.g., MySQL, SQLite, SQL, etc.</li><li>Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.</li><li>Excellent analytical skills to identify potential risks and propose effective solutions.</li><li>Clear communication skills to convey complex technical concepts to various partners.</li><li>Ability to collaborate with cross-functional teams.</li><li>Providing problem-solving skills, proven communication in written and verbal formats to various audiences to include executive leadership.</li></ul> Education<ul><li>Bachelor's degree with 12+ years of experience</li><li>Must be able to obtain and maintain a Public Trust. Contract requirement.</li></ul>

Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Lead Applied Data Scientist at Oracle in Boise, Idaho, United States Job Description Job Description Oracle Corporation's 'SaaS Engineering' team is setting up an exciting new team to work on advances in service reliability with teams of autonomous AI agents. This initiative aims to develop a robust system using advanced ML/AI tools to analyze system logs, predict failures, and autonomously resolve issues before they impact cloud services. The project combines the cutting-edge domains of anomaly detection and autonomous agents to enhance service resiliency. This newly formed team will be crucial in driving innovation and ensuring the reliability of Oracle's cloud services, making significantcontributions to service uptime and customer satisfaction. Requirements: ? Extensive Experience: 8+ years of experience in data science, with a strong focus on machine learning and predictive modeling. Demonstrated ability to lead complex data science projects from conception to deployment. ? Technical Expertise: Strong expertise in Python and R programming languages, with a deep understanding of machine learning algorithms such as LSTM, GRU, and Transformers. Proficiency in using libraries and frameworks like TensorFlow, PyTorch, and scikit-learn. ? Big Data Proficiency: Proven track record of working with large datasets and big data technologies, including Hadoop and Spark. Experience in handling and processing large-scale time-series data. ? Leadership Skills: Excellent leadership skills with a proven ability to mentor and guide junior team members. Strong communication skills to effectively collaborate with cross-functional teams and present complex technical information to non-technical stakeholders. Problem-Solving Ability: Strong analytical and problem-solving skills, with the ability to identify and address potential issues proactively. Experience in feature engineering, model tuning, and performance optimization. ? Educational Background: Advanced degree (Ph.D. or Master's) in Computer Science, Data Science, Statistics, or a related field. Relevant certifications in machine learning or data science are a plus Career Level - IC5 Responsibilities Responsibilities: ? Lead ML Model Development: Spearhead the development and implementation of sophisticated machine learning models specifically designed for anomaly detection in system logs. This includes selecting appropriate algorithms, designing model architecture, and ensuring robust model training and validation. ? Data Analysis & Prediction: Conduct in-depth analysis of large-scale, time-series data to identify patterns and anomalies that can predict service failures. Utilize statistical methods and machine learning techniques to develop predictive models that can preemptively address potential issues. ? Mentorship & Collaboration: Mentor junior data scientists, providing guidance on best practices in data science, model development, and problem-solving techniques. Foster a collaborative environment by working closely with cross-functional teams, including software engineers, product managers, and operations staff, to align on project goals and deliverables. ? Innovation & Optimization: Drive continuous innovation in feature engineering, model optimization, and the application of new technologies to enhance the accuracy and performance of predictive models. Stay updated with the latest advancements in machine learning and artificial intelligence to integrate new methodologies into the project. ? Reporting & Documentation: Ensure thorough documentation of model development processes, data analysis methodologies, and project outcomes. Regularly report on project progress, challenges, and achievements to senior leadership and stakeholders. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range: from $139,300 to $291,900 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. About Us As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Which includes being a United States Affirmative Action Employer To view full details and how to apply, please login or create a Job Seeker account

Job Description:Supply Chain Data Scientist (The Woodlands, Texas)Huntsman Corporation is a publicly traded global manufacturer and marketer of differentiated and specialty chemicals. Our chemical products number in the thousands and are sold worldwide to manufacturers serving a broad and diverse range of consumer and industrial end markets. We operate more than 70 manufacturing, R&D and operations facilities in approximately 30 countries and employ approximately 9,000 associates within our four distinct business divisions.Huntsman offers unsurpassed opportunities to build a successful future. Our diverse portfolio creates a range of career fields including manufacturing, research and development, technical services, sales and marketing, customer service - and the list goes on.Here, you can make an impact and make a difference. Come join us.Huntsman is seeking a Supply Chain Data Scientist supporting the Polyurethanes Division located at our The Woodlands, Texas facility.Job Scope:The Supply Chain Data Scientist will develop innovative analytical approaches to support Huntsman's supply chain operations and strategy. This role will design, develop, implement and rollout advanced planning and scheduling models, data analytics tools, process mining, Cost to serve modeling, and freight management solutions in support of the Huntsman supply chain management processes. This includes model requirements, definition, model construction with Huntsman supported software packages, and support of key users.The Supply Chain Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify business opportunities, and quantify the impact of strategic projects.In summary, as the Supply Chain Data Scientist, you will:* Update and support the reporting systems, primarily via Power BI, used for data analytics and to present the results of plans, schedules, and KPIs to the affected businesses and/or functions,* Candidate would design, build, configure, test, debug, and maintain the various reports and dashboards,* Introduce Machine Learning methodologies across a wide breadth of business use cases,* Acquire deep understanding of business problems and translate them into appropriate mathematical depictions,* Drive the execution of Artificial Intelligence (AI) solutions to address business needs* Collect, cleanse, and understand complex data sources to enable proper analytical modeling,* Research, design, develop, test, and implement data science methodologies across a wide range of business applications,* Manage Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work,* Participate in the evaluation, intake, design, and integration strategy between multiple Supply Chain functions and data sources,* Support of Celonis' Process Mining models to facilitate visualization of process flows, identification of process bottlenecks, and streamlining process efficiencies through alerts and automated actions (via use of bots),* Collaborate with Supply/Demand Planning business process leads to align business requirements with systems and process solutions that ensure overall Huntsman objectives are met,* Identify appropriate data-driven analytics from use case concept through experiment design to industrialization/deployment to end users,* Develop professional presentations appropriate for their intended audience.* Conducting data preparation and cleansing, and building data pipelines to support modeling and operational needs,* Work closely with cross functional teams to encourage best practices for experimental design and data analysis,* Create compelling interactive visualizations and presentations to enhance decision making, capabilities throughout the company.Required Qualifications:You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.The candidate must have an unrestricted right to work for Huntsman in the United States.Education* Bachelor's degree in supply chain, operations management, data science or related field.Experiences* 3-5+ years of experience as a Data Scientist* Experience with development in Power BI, Power Automate, Automation Anywhere, Celonis, HSIMS and other technologies,* Experience with SAP (R4) and/or SAP (4HANA).Preferred Qualifications* Experience with programming, statistical and probabilistic analysis tools such as SPSS Minitab, R, Python, AIMMS,* Interest/experience with Machine Learning (ML) and Artificial Intelligence (AI) is highly beneficial,* Experience with and use of the MRP tools within SAP,* Experience with Agile project plans or SCRUM.Skills & Knowledge* Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs),* Ability to develop and deploy advanced analytical models and algorithms that drive efficiencies at Huntsman,* Experience visualizing/presenting data for partners using Power BI,* Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment,* Good facilitation and presentation skills, including training delivery,* Excellent oral and written communication skills, organizational and time-management abilities,* High initiative, self-starter, and able to work with limited supervision,* Ability to think creatively, strategically, and technically,* Excellent communication, facilitation, and interpersonal skills, with the ability to work across functional lines,* Ability to work a flexible schedule based on department and Company needs.Huntsman is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunities (EEO) to all qualified applicants for employment, without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identification, sexual orientation and/or expression or any other characteristic protected by law in every location in which we have facilities national or local.Please refer to https://www.huntsman.com/privacy/online-privacy-notice for Company's Data Privacy and Protection information.All unsolicited resumes presented by recruitment agencies are treated as pro bono information or service.Huntsman is aware of a scam involving fraudulent job offers. Huntsman does not make job offers until after a candidate has submitted a job application and has participated in a face-to-face interview. Please be advised that emails from Huntsman always end in "@huntsman.com" and that any job offer that requires payment or requires you to deposit a check is likely a scam. If you have questions about any open positions at Huntsman, please visit our Careers website at http://www.huntsman.com/corporate/a/CareersAdditional Locations:

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