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

Iboss Data Scientist Interview Guide

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


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

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

Overview

Iboss 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.

Iboss 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

Iboss Data Scientist Interview Questions

Description Company Overview iboss is a cloud security company that enables the modern workforce to connect securely and directly to all applications from wherever they work. Built on a containerized cloud architecture, iboss delivers security capabilities such as SWG, malware defense, RBI, CASB and data loss prevention to all connections via the cloud, instantaneously and at scale. This eliminates the need for traditional network security appliances, such as VPNs, firewalls and web gateway proxies, which are ineffective at protecting a cloud-first and mobile world. Leveraging a purpose-built cloud architecture backed by 230+ issued and pending patents and more than 100 points of presence globally, iboss processes over 150 billion transactions daily, blocking 4 billion threats per day. More than 4,000 global enterprises trust the iboss Cloud Platform to support their modern workforces, including a large number of Fortune 50 companies. To learn more, visit https://www.iboss.com/ Job Description As a Software Engineer- Endpoints at iboss, you'll have the opportunity to work on multiple technologies. Our development scope extends from device-specific driver, service, and communication protocols to cloud scalable connectivity and big data processing through third-party analytics tool integration and customer enterprise UI creation for security policy management. The pace is fast. The process is agile. This is an excellent opportunity to become a core member of a rapidly growing software development team. There are many exciting projects on which to work. iboss software developers excel at solving tough problems, collaborating well, and working with customer teams to rapidly deploy solutions. The work on this team involves developing software to run on several different types of user devices. The applications manage IP traffic flow into the iboss cloud and run on millions of devices every day. This is a prime opportunity to have a significant effect on the leading edge of security software development. Responsibilities <ul><li>Ability to design and develop clean and maintainable code for deployment on Windows, iOS, Android, and macOS, and ChromeOS systems</li><li>Quickly understand and extend engineering architectural patterns</li><li>Independently solve tough software problems</li><li>Document engineering designs</li><li>Analyze and estimate development efforts</li></ul> Qualifications <ul><li>5+ years of experience developing high-quality code in C/C++, Swift/Objective C or Java required</li><li>Experience focused in C/C++ networking-based applications on Windows, Mac, IOS, Android or Linux Operating Systems</li><li>1+ years of experience working with endpoint development</li><li>Knowledge of security, networking, and handling of large datasets</li><li>TCP/IP and networking knowledge</li><li>Must have a good sense of engineering tradeoffs, within the contexts of extendibility, scalability, performance, and maintainability</li><li>Working knowledge of database technologies and SQL, especially PostgreSQL</li><li>Experience with OO design and design patterns</li><li>Comfortable working in a Unix environment</li><li>Strong knowledge of the full software development life cycle, with experience in an agile environment</li><li>Previous experience using Wireshark is a plus</li><li>Experience with software security is a plus</li><li>BS or MS in Computer Science or related engineering discipline</li></ul> Benefits <ul><li>Health, Vision, Dental - open to domestic partners</li><li>401K with company match</li><li>Paid Time Off (PTO)</li><li>Company-paid holidays</li><li>Optimistic, supportive, and fun work environment</li><li>Fantastic quarterly company events</li></ul> The duties and responsibilities described above are essential functions of the job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a veteran, or as an individual with a disability. *This position is not eligible for sponsorship of work visas.

Description Company Overview iboss is a cloud security company that enables the modern workforce to connect securely and directly to all applications from wherever they work. Built on a containerized cloud architecture, iboss delivers security capabilities such as SWG, malware defense, RBI, CASB, and data loss prevention to all connections via the cloud, instantaneously and at scale. This eliminates the need for traditional network security appliances, such as VPNs, firewalls, and web gateway proxies, which are ineffective at protecting a cloud-first and mobile world. Leveraging a purpose-built cloud architecture backed by 230+ issued and pending patents and more than 100 points of presence globally, iboss processes over 150 billion transactions daily, blocking 4 billion threats per day. More than 4,000 global enterprises trust the iboss Cloud Platform to support their modern workforces, including a large number of Fortune 50 companies. To learn more, visit https://www.iboss.com/. Job Description As a Software Engineer at iboss, you'll have the opportunity to work on multiple technologies. Our development scope extends from device-specific driver, service, and communication protocols to cloud scalable connectivity and big data processing through third-party analytics tool integration and customer enterprise UI creation for security policy management. The pace is fast. The process is agile. This is an excellent opportunity to become a core member of a rapidly growing software development team. There are many exciting projects on which to work. iboss software developers excel at solving tough problems, collaborating well, and working with customer teams to rapidly deploy solutions. Responsibilities <ul><li>Ability to design and develop clean and maintainable code</li><li>Quickly understand and extend engineering architectural patterns</li><li>Independently solve tough software problems</li><li>Document engineering designs</li><li>Analyze and estimate development efforts</li><li>Deliver high-quality code that has been thoroughly tested</li></ul> Qualifications <ul><li>1+ years of experience using Swift/Objective-C</li><li>Strong analytical capability and record of independent contributions</li><li>Must have a good sense of engineering tradeoffs, within the contexts of extendibility, scalability, performance, and maintainability</li><li>Working knowledge of database technologies and SQL, especially PostgreSQL</li><li>Experience with OO design and design patterns</li><li>Comfortable working on a Unix environment</li><li>Experience working in an Agile environment</li><li>Team player with excellent interpersonal skills and the ability to work in a fast-paced environment</li><li>Demonstrate excellent oral and written communication skills with the ability to listen, articulate, facilitate and advocate</li><li>Experience with node.js</li><li>Ability to identify and resolve performance problems in code</li><li>Knowledge of security, networking, and handling of large datasets</li></ul> Benefits <ul><li>Health, Vision, Dental, Chiropractic - open to domestic partners</li><li>401K with company match</li><li>Paid Time Off (PTO)</li><li>Company-paid holidays</li><li>Optimistic, supportive, and fun work environment</li></ul> The duties and responsibilities described above are essential functions of the job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a veteran, or as an individual with a disability. *This position is not eligible for sponsorship of work visas

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) .

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist & Machine Learning Engineer and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems **Responsibilities** + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Build user-facing applications: Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelors degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling?approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with myFlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/15/2024 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidates geographical location, relevant education, experience and skills and an evaluation of internal pay equity. #LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)

About Moloco: Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data- the same robust performance powered by machine learning has previously been unavailable beyond their platforms. That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale. An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google's Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube. Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, and Tokyo. Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our missionto empower businesses of all sizes to grow through operational machine learning. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: <ul><li>Moloco Commerce Media (MCM) enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. </li><li>We've established our MCM's product market fit with strong interest in our product. MCM is an important product that is key to Moloco's continued success and is in a high growth phase. The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As senior data scientist in MCM, you will have the opportunity to work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. We highly value prior experience in working in ad-tech. </li></ul>What You'll Do: <ul><li>Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system. </li><li>Build the right metrics for product areas and drive business collaboration with domain data expertise: improve performance monitoring of a large and complex ads ecosystem by establishing the right metric framework, and understanding cause-and-effect relationships across drivers; guiding ramp decisions through rigorous A/B testing.</li><li>Improve ML models through better data quality and insights: validate and quantify the efficiency and performance gain from hypotheses with advanced statistical methods.</li></ul>Basic Qualifications: <ul><li>Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. </li><li>Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth</li><li>Excellent verbal and written communication skills, with ability to present information and analysis results effectively.</li><li>Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.</li><li>Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).</li><li>Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.</li><li>6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master's or PhD in a quantitative discipline with 2+ years of experience.</li></ul>Preferred: <ul><li>Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)</li><li>Demonstrated leadership and self-direction</li><li>Willingness to both teach others and learn new techniques</li><li>Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance</li></ul> Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Compensation Range: $159,832-$209,748 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here. Moloco Values: <ul><li>Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. </li><li>Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. </li><li>Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. </li><li>Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. </li></ul>Additional Resources: <ul><li>Moloco Company Blog </li><li>Moloco Leadership</li><li>Moloco Newsroom </li></ul>Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression, and gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Job Description We are seeking a highly skilled and motivated Data Scientist to join our Health and Human Services Consulting team. The ideal candidate will possess advanced data science skills, have experience with healthcare claims data and social determinants of health data sets, and be adept at managing projects and teams. This role requires a blend of technical expertise, project management, and client communication skills. Key Responsibilities •Utilize advanced data science techniques to analyze and interpret complex datasets, including healthcare claims data and social determinants of health data. •Develop and implement data models, machine learning algorithms, and statistical analyses to support client needs and drive data-driven decision-making. •Create comprehensive reports and presentations to communicate findings, insights, and recommendations to clients and internal stakeholders effectively. •Independently manage and prioritize multiple projects, ensuring timely delivery and adherence to high-quality standards. •Lead, mentor, and develop a team of data analysts and junior data scientists, fostering a collaborative and innovative work environment. •Engage with clients, including state health and human service agencies, to understand their needs, provide expert advice, and maintain strong relationships. •Ensure compliance with healthcare policies, regulations, and data privacy standards in all data analysis and modeling activities. •Participate in business development activities, including responding to RFPs, authoring white papers, and delivering industry presentations. •Stay current with emerging data science trends, tools, and technologies, integrating them into practice to enhance service offerings. •Oversee data governance and maintain data quality standards, ensuring the integrity and accuracy of all data used and produced. Requirements Qualifications •Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Computer Science, Public Health, or a related field. •Minimum of 5 years of proven experience in data science, with a strong portfolio of projects demonstrating expertise in: •Machine learning and predictive modeling •Statistical analysis and hypothesis testing •Data visualization and reporting tools (e.g., Tableau, Power BI) •Programming languages such as Python, R, SQL •Big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) •Experience working with healthcare claims data and social determinants of health data sets. •Strong project management skills, with the ability to manage and prioritize multiple projects simultaneously. •Proven leadership and team management experience, with the ability to lead, mentor, and develop a team of data analysts. •Excellent written and verbal communication skills, capable of conveying complex technical information to non-technical audiences. •In-depth knowledge of healthcare regulations and data privacy standards, ensuring compliance in all analytical activities. •Experience in client engagement and relationship management, with strong interpersonal and consultative skills. •Strong problem-solving and critical-thinking abilities, with a proactive approach to addressing challenges. •Familiarity with data governance and quality assurance practices, ensuring the integrity and accuracy of data analyses. Preferred Qualifications: •Experience working with state health and human service agencies. •Strong knowledge of Medicaid policy and regulations. •Familiarity with advanced analytics tools and platforms (e.g., SAS, STATA). •Relevant certifications, such as Certified Data Scientist, Project Management Professional (PMP), or equivalent. •Demonstrated experience in business development activities, including responding to RFPs, authoring white papers, and delivering industry presentations.

Supply Chain Data Scientist Description - Description HP is the world's leading personal systems and printing company. We create technology that makes life better for everyone, everywhere. Our innovation springs from a team of passionate, talented, and curious individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives. We are looking for visionaries, with a passion for learning, to join our Strategic Planning and Modelling (SPaM) Data Science team. Our team members are tasked with evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, and creating next-generation predictive and prescriptive analytical model deployments. We provide technical and thought leadership as we partner with senior executives to set strategic direction and drive innovation in our global supply chain. HP's SPaM team draws upon a 35-year history of success in supply chain innovation, enjoys a flexible work schedule, and invests in our continued success through formal training and mentorship. Join SPaM, if pioneering data-based innovations to solve business challenges for HP sounds like fun to you! Responsibilities <ul><li>Pair with SPaM team members and collaborate with cross-functional teams to frame business challenges, structure analytical approaches, gather key data, evaluate alternative solutions, and present well-supported conclusions to management </li><li>Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas </li><li>Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value </li><li>Build, deploy, and support innovative predictive and prescriptive analytic solutions at scale </li><li>Use proven MOC techniques to ensure smooth adoption of new solutions </li><li>Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancements </li></ul> Education and Experience Required <ul><li>MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration </li><li>Operational experience in one of the following: network design, inventory management, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area </li><li>10+ years experience</li></ul> Knowledge and Skills <ul><li>Applied experience with machine learning and optimization on large datasets </li><li>Proficient with Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, Excel </li><li>Experience with generative-AI </li><li>Passion for data science & delivering data-driven outcomes </li><li>Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver) </li><li>Expertise with inventory optimization math and deployment of the mathematical formulas into a business process</li><li>Demonstrated practical experience in an operational environment</li><li>Experience implementing and handing off operational analytical solutions to business users </li><li>Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-pace environment </li><li>Excellent problem solver</li><li>Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence </li><li>Experience with data visualization and data presentation in a clear and effective manner </li><li>Experience leading, collaborating with, and delivering results in cross-functional teams </li><li>Familiarity with statistics, forecasting, simulation, advanced data visualization, spreadsheet modelling </li><li>A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability </li></ul> The base pay range for this role is $137,000 to $211,000 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: •Health insurance •Dental insurance •Vision insurance •Long term/short term disability insurance •Employee assistance program •Flexible spending account •Life insurance •Generous time off policies, including; •4-12 weeks fully paid parental leave based on tenure •11 paid holidays •Additional flexible paid vacation and sick leave (US benefits overview) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Not Specified Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Polygraph TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our worlds biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. The Northrop Grumman Mission Systems (NGMS) Microelectronics Design and Applications business pushes the boundaries of innovation, redefining the leading edge of exotic new technologies in computation, system security, and AI. Among our most challenging and exciting fields are Artificial Intelligence (AI) and Transformational Computing (TC). In AI we are developing capabilities to apply next generation AI and machine learning to NGMS solutions. In TC we are leveraging NG proprietary superconducting technologies to transform computing beyond Moores Law and advance development of large-scale high performance computing systems. You will work in a fast-paced team environment alongside a broad array of scientists and engineers to make these solutions a reality. Microelectronics Design and Applications (MDA) engineering is seeking a data engineer who will make significant and ongoing contributions to the maturation of our data driven processes. You will design, build and oversee the deployment and operation of technology to capture, manage, store and utilize structured and unstructured data from internal and external sources. The ideal candidate will have a keen interest in the tools and processes around ETL and data visualization. They must have a proven ability to drive business results with a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. They must be comfortable working with a wide range of stakeholders, internal data scientist, and functional teams in a fast-paced, research environment with an emphasis on driving collaboration, quality and speed to market. This position requires 100% work on site located at Linthicum, MD and/or Annapolis Junction, MD as needed. Your responsibilities: Create data collection frameworks for structured and unstructured data. Administer databases utilizing strong skills at sourcing data from a wide variety of formats. Analyze database configurations to optimize the performance of end user models and dashboards. Develop resilient and scalable pipelines capable of moving large volumes of data. Assess the effectiveness and accuracy of data sources and data gathering techniques. Coordinate with different functional teams to implement solutions and monitor outcomes. Analyze multiple data sources in detail to identify trends and patterns using engineering fundamentals. What you need to be successful in the role: Comfort with exposing data to consumption via API services. Comfort with requirements-analysis and stake-holder engagement. Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable. Solid communication skills (written, verbal, and visual) Ability to communicate data and engineering analysis regarding conclusions that were reached. Excellent attention to detail. Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques. Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities. Ability to create and present data reports to support investigations. Basic Qualifications: Bachelor's degree in a technical area with 14 years of relevant experience (12 years with technical MS; 9 years with a PhD in related field) Previous Data Warehouse experience Experience with modeling and normalizing complex data. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from multiple sources / systems of record. Experience with ETL tools, data analytics platforms, and reporting services. Proficient in Python Excellent communication skills and customer facing experience. Proven ability to learn and master new technologies and techniques. Knowledge of data gathering, cleansing and transformation techniques Ability to obtain and maintain a Top Secret (TS/SCI) with polygraph clearance per business requirements. US Citizenship is a prerequisite of this. Preferred Qualifications: Product Lifecycle experience Experience working with the following database formats: Mariadb, Mongodb, Influx Experience working with Apache Airflow, Kafka, Spark and Hadoop Experience with virtualization tools such as Trino. Experience with Object and File storage. Experience mentoring and leading peers in data engineering projects. Tableau experience MATLAB experience Active TS/SCI clearance with polygraph NGMCENG Salary Range: $0.00 - $0.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Iboss Data Scientist Interview Guide

Overview

Iboss Data Scientist Salary

Iboss Data Scientist Interview Process

Iboss Data Scientist Interview Questions

Iboss Data Scientist Jobs