computer science intern

data engineer with snowflake-2 Jobs in Chicago

data engineer with snowflake-2

data scientist

product manager, clinical data science & ai Jobs in Chicago

product manager, clinical data science & ai

senior data scientist - operations research Jobs in Chicago

senior data scientist - operations research

data science intern

Arrive Logistics

<div><div><b>Who We Are</b></div><div>
Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We&rsquo;re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today!</div><div></div><div><b><br>
Who We Want</b></div><div>
We are seeking a motivated and enthusiastic Data Science Intern to join our team. The Data Science intern collaborates with team members to build models, conduct tests, analyze data, and productionalize our ideas. The ideal candidate is eager to learn, has a strong analytical mindset, and is proficient in programming and statistical analysis.</div>
<h3 class="jobSectionHeader"><b>What You&rsquo;ll Do</b></h3><ul><li>
Develop an understanding of the logistics industry as well as Arrive&rsquo;s core business functions and processes</li><li>
Work closely with data scientists to develop models, analytic solutions, and statistical analysis</li><li>
Work with data scientists and engineering to perform model testing and then put models and solutions into production</li><li>
Collaborate with data scientists to document models, monitor performance, and perform ongoing support for existing models</li><li>
Prepare, clean, and wrangle large data sets</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li>
Masters or Ph.D degree in a relevant field (Data Science, Math, Statistics, Economics, Computer Science, Engineering)</li><li>
Solid knowledge of statistics, mathematics, and computer science</li><li>
Experience with Python, R, or other statistical programming language</li><li>
Experience evaluating, fitting, and interpreting results of common data science models</li><li>
Focus on impact, agility, learning, openness, togetherness, independence, humility, and responsibility</li><li>
Strong written &amp; oral communication skills and an ability to present effectively to stakeholders of all levels</li><li>
Interested in staying abreast of emerging data science research and trends and continuously upskilling your capabilities as new methods and techniques are developed</li><li>
Experience with an Agile development methodology is a plus</li><li>
Experience formulating and solving optimization problems is a plus</li><li>
Experience working in cloud environments is a plus</li><li>
Experience in the Logistics or Transportation Industry is a major plus.</li></ul><h3 class="jobSectionHeader"><b>
The Perks of Working With Us</b></h3><ul><li>
Build relationships and take part in learning opportunities through our Employee Resource Groups.</li><li>
Enjoy office wide engagement activities, team events, happy hours and more!</li><li>
Leave the suit and tie at home; our dress code is casual.</li><li>
Work in the heart of downtown Chicago, IL!</li><li>
Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.</li><li>
Maximize your wellness with free counseling sessions through our Employee Assistance Program</li><li>
Get paid to work with your friends through our Referral Program!</li></ul><div><b>
Your Arrive Experience</b></div><div>
When we say &ldquo;award-winning culture,&rdquo; we mean it. We&rsquo;ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we&rsquo;re not in it for the trophies. We&rsquo;re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive&rsquo;s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.</div><div></div><div><b><i><br>
Notice:</i></b></div><div><i>
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.</i></div></div>

Data Science Intern

Gem Inc.

<p>Small company is looking to hire a Computer Science Intern that can speak Hindi or Gujarati since we work with many Hindi/Gujarati speaking clients. Must also speak English. Monday to Friday. 20 to 30 hours per week.</p><p>Job Type: Internship</p><p>Pay: $14.00 - $15.00 per hour</p><p>Language:</p><ul><li>Hindi or Gujarati (Preferred)</li></ul><p>Work Location: In person</p>

Computer Science Intern

S&C Electric Company

<div><div><p><b>JOB SUMMARY
</b></p></div><div><p>At <b>S&amp;C Electric Company </b>, a 100% employee-owned company, we help keep the lights on for people and businesses worldwide. Our manufacturing roles build the equipment that protects the critical infrastructure of the power grid, and each of our team members lends their unique skills to this crucial mission. We empower our people by providing pathways to a long-term career and support them in their professional growth by sustaining a culture founded on respect, strengthened by collaboration, and measured by our shared successes. The manufacturing industry is booming with opportunities to learn new things, expand your skills, and build a long-term career.
</p></div><div><p>Join S&amp;C to make an impact on tomorrow&rsquo;s energy challenges and become an employee-owner!
</p></div><div><p><b>Available Shift:
</b></p></div><div><p>1st shift: 8:00 am &ndash; 4:30 pm, Monday &ndash; Friday
</p></div><div><p><b>Full-Time Summer 2026 Internship
</b></p></div><div><p><b>Competitive Weekly Pay Period
 </b></p></div><div><p>Join Our Team as a Process Engineer (Facilities) Intern!
</p><div><p>The Process Engineering Intern will support Project and Senior Engineers with engineering projects on process systems and will support day-to-day production operations as assigned by the Asst. Manager, Process Engineering. Processes supported may include cleaning-phosphating-powder paint systems, electroplating, liquid painting, vacuum systems, vacuum brazing, waste treatment, material handling, and related automation. Activities are typically related to engineering/design/construction/operation of new processes or improvements to manufacturing operations at S&amp;C Electric&rsquo;s Chicago Headquarters. Engineering tasks supported will include preparation of design criteria, feasibility assessments, commissioning and pilot trials, functional descriptions and sequences of operation, calculations, equipment selection analyses, drawings, sketches/layouts, and specifications, both for process equipment and purchased components. Responsibilities will include authoring of process quality specifications, defining of process limits, analyses of failures, process improvement opportunities, and production acceptance/qualification of materials. Exercising of sound judgment and decision making for assigned responsibilities is expected.<br>
</p></div><p></p><div><p><b>Specific activities will include the following:
</b></p></div><div><ul><li>Development of technical expertise in coating systems, paint application, corrosion protection, electroplating, chemical processes, precision/critical cleaning, vacuum brazing, and vacuum systems.
</li></ul></div><div><ul><li>Daily production support when necessary.
</li></ul></div><div><ul><li>Participation in root cause problem solving efforts, both in support of defect correction and process/product continuous improvement
</li></ul></div><div><ul><li>Ability to take ownership and work independently within a collaborative setting, work with customers to resolve technical issues, identify root cause, continually improve under the umbrella of safety, quality, delivery, cost.
</li></ul></div><div><ul><li>Process controls, automation, material handling system assignments.
</li></ul></div><div><ul><li>Performing field survey work necessary to validate layouts/plans prior to, during and after construction and/or rearrangement, transcribe existing building plans into CAD based drawings.
</li></ul><div><p><b>To select this job as one of interest to you, at a minimum, you must have the following:
</b></p></div><div><ul><li>Pursuing a B.S. in Engineering (Mechanical, Chemical, Materials Science, Industrial preferred, but other disciplines considered)
</li></ul></div><div><ul><li>Excellent verbal and written communications skills
</li></ul></div><div><ul><li>Proficiency in the use of PC using Word, Excel, Project, Access
</li></ul></div><div><ul><li>Some CAD skills preferred
</li>Basic bookkeeping skills and ability to read drawings<br>
<li>
</li></ul><p></p><p><b>MAJOR PHYSICAL DEMANDS
</b></p><p>Standing: Occasional standing for job site meetings, in-plant survey work and project reviews
</p><p>Lifting: Occasional lifting of rolls of plans, project files, survey/measuring equipment, less than 50 pounds
</p><p>Walking: Frequent walking throughout the facility both indoors and outdoors
</p><p>Carrying: Occasional carrying of light objects such as plans, rulers, measuring equipment
</p><p>Pushing: Infrequent pushing of objects, if at all. Maybe related to rearrangement work
</p><p>Pulling: Infrequent pulling of objects, if at all. Maybe related to rearrangement work
</p><p>Bending: Occasional bending during field survey work or access to work areas
</p><p>Reaching: Infrequent reaching, if any
</p><p>Handling: Infrequent Handling of parts or tools, if at all
</p><p>Other: Frequent use of personal computer, keyboard, monitor and CAD workstation<br>
</p><p></p><div><p>Ready to make an impact and become an employee-owner? Apply now to join our inclusive and innovative team! Explore open positions.
</p></div><div><p>S&amp;C Electric is committed to equal-opportunity employment. All employees and applicants will be considered without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. If you are an individual with a disability and need an accommodation to complete the application, please email us at TAsupport@sandc.com .</p></div></div></div></div></div><p></p><br><div></div>

Process Engineer (Facilities) Intern

CVS Health

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p>
Position Summary</p><p>
CVS Health&rsquo;s Analytics &amp; Behavior Change (A&amp;BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&amp;BC leverages advanced analytics, machine learning, modeling, and hypothesis-driven approaches to transform data into actionable, customer-centric insights driving growth, health outcome improvements, and access to health care across all our businesses in CVS Health. Our teams build next generation data and machine learning platforms and software products that help power CVS Health to make healthier happen for 100+ million customers.</p><p></p><p>
The A&amp;BC organization is looking to grow its Product team supporting Clinical Data Science &amp; AI. Join us as we embark on an exciting journey to drive a transformational shift in how CVS Health leverages technology and analytics to become the leader in consumer healthcare in the U.S.</p><p></p><p>
As a Product Manager within A&amp;BC, you will be responsible for contributing to the development and launch of AI-powered insights across the enterprise. This role requires a strong understanding of product management, clinical data, data science, and business strategy. The ideal candidate has familiarity with GenAI, deep learning, and machine learning and is able to work effectively with cross-functional teams to bring clinical data and AI products to market. Additionally, as a Product Manager you will support the dissemination of best practices (design thinking, agile methodologies and more) to support A&amp;BC in its digital transformation.</p><p></p><p>
Responsibilities:</p><ul><li>
Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, and Stakeholder teams</li><li>
Support Engineering and Data Science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand users and the business</li><li>
Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability, and quality</li><li>
Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses</li><li>
Liaise with clinicians to get an understanding of clinical best practices, requirements, and validation of AI outputs</li><li>
Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization</li><li>
Draft, refine and communicate business cases to key stakeholders to obtain input and buy-in</li><li>
Work with internal customers, end users, and other stakeholders to maintain product roadmaps</li><li>
Clarify and coordinate dependencies with other product teams and stakeholders, and mitigate the risks and dependencies proactively</li><li>
Support the establishment and maintenance of release-management, product planning and launch frameworks</li><li>
Champion Agile methodologies and lean practices in product development</li></ul><p></p><p>
Required Qualifications</p><ul><li>
3+ years&rsquo; experience working cross-functionally with Engineering or Data Science teams and familiarity with Data Science concepts</li><li>
1-2 years&rsquo; Product Management, Product Management-adjacent, or Consulting experience (closely partnering with Data Scientists and Engineers) including:</li><li>
Strong experience with AI, data analytics, data products, and/or complex analytics utilizing clinical or claims data to accelerate insights and drive value</li><li>
Experience in stakeholder management</li></ul><p></p><p>
Preferred Qualifications</p><ul><li>
Familiarity with AI including GenAI, machine learning, and deep learning</li><li>
Deep knowledge of various types of healthcare data, including a strong grasp of data nuances, common use cases, and limitations, with experience in common analytics tools including, but not limited to, Tableau</li><li>
Strong interest in the Healthcare sector; the ideal candidate should be passionate about making healthcare more efficient and want to be part of a transformational change in the Healthcare industry</li><li>
Technical product management experience and/or experience with prompt engineering a plus</li><li>
Demonstrated ability to operate effectively within a complex stakeholder environment, driving consensus and fostering collaborative decision-making processes</li><li>
Demonstrated ability to communicate (oral and written), with experience in communicating technical concepts and implications to business stakeholders and customers as well as business concepts and requirements to Data Science, Engineering, and other technical teams</li><li>
Proven track record of supporting the management of all aspects of a successful product throughout its lifecycle</li><li>
Ability to drive outcomes in a complex environment and navigate ambiguity</li></ul><p></p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Physics, Applied Sciences, or a related field</li><li>
Bachelor&rsquo;s degree required</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$92,700.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 12/27/2025<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Product Manager, Clinical Data Science & AI

Intelligent Medical Objects

<div><div><div>At IMO Health, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and scalable medical terminology platform. Your work will empower over 740,000 clinicians by enhancing how healthcare data is structured, delivered, and understood.</div><div>
We are seeking an experienced <b>Semantic Data Modeler</b> to join our team, focusing on the development and application of Knowledge Graphs integrated with Data Science and Natural Language Processing (NLP) workflows. In this critical role, you will contribute to the design and implementation of semantic models, bridging the gap between raw data sources and actionable clinical insights. You will utilize your skills in NLP and data analysis to enrich our knowledge graph, ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives. This position requires strong technical proficiency and exceptional collaboration skills, working closely with staff semantic engineers, clinicians, and content teams.</div></div>
<div><div><h3 class="jobSectionHeader"><b>WHAT YOU&rsquo;LL DO:
</b></h3><ul><li><ul><li><b>Semantic Model Design:</b> Contribute to the design, development, and iterative refinement of complex semantic data models, with a focus on ontologies, knowledge graphs, and property graphs.</li><li><b>
Requirement Translation: </b>Assist senior team members in translating intricate, cross-functional business needs into formal, scalable knowledge graph structures, ensuring tight alignment with the enterprise data strategy.</li><li><b>
Governance and Standards:</b> Document semantic assets, including detailed entity definitions, relationship types, axioms, constraints, and data lineage, ensuring adherence to established best practices and fostering consistency across the organization.</li><li><b>
Graph Data Analysis &amp; Feature Engineering:</b> Utilize data science methodologies and Python scripting to conduct exploratory data analysis (EDA) on graph structure, identify data patterns, perform feature engineering, and support advanced analytics based on the knowledge graph.</li><li><b>
Data-Driven NLP Integration:</b> Apply Natural Language Processing (NLP) techniques and tooling to unstructured clinical text and data streams to identify, extract, and map new entities, attributes, and relationships directly into the semantic models, effectively structuring raw data for machine learning consumption.</li><li><b>
Robust Data Quality:</b> Implement and maintain data quality frameworks, validation rules (e.g., using SHACL), and transformation logic within the semantic layer to ensure the accuracy, reliability, and consistency of the knowledge graph.</li><li><b>
Cross-Functional Partnership:</b> Partner closely with Staff semantic engineers, clinicians, content teams, and business leaders to understand domain knowledge and requirements, and ensure semantic solutions effectively meet organizational objectives.</li><li><b>
Research &amp; Evaluation:</b> Assist in researching, evaluating, and utilizing new technologies, methodologies, and best practices in semantic modeling, knowledge graph technologies, and NLP to drive continuous process improvement.</li><li><b>
Knowledge Sharing:</b> Proactively share technical expertise and knowledge with peers and cross-functional teams.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>WHAT YOU&rsquo;LL NEED:
</b></h3><ul><li><ul><li>BA/BS in a STEM field (e.g., Computer Science, Data Science, Bioinformatics) with 3-5 years of hands-on work experience in data modeling or data engineering.</li><li>
Proven hands-on experience in semantic modeling concepts (ontologies, knowledge graphs, property graphs).</li><li>
Expertise in Python for data manipulation, analysis, and pipeline development, including libraries like Pandas/NumPy.</li><li>
Strong understanding of statistical and machine learning concepts (e.g., classification, clustering, regression) and their application to graph-based data.</li><li>
Demonstrated experience with NLP technologies and libraries (e.g., NLTK, spaCy, Gensim, Hugging Face) for text extraction, named entity recognition, or relationship extraction.</li><li>
Strong working knowledge of graph database platforms (e.g., Amazon Neptune, Neo4j, etc.) and graph query languages (e.g., SPARQL or Gremlin).</li><li>
Familiarity with semantic web standards like OWL, RDFS, and SHACL.</li><li>
Experience with relational databases (SQL) and general data warehousing concepts.</li><li>
Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li><li>
Experience in an Agile/Scrum environment, iteratively developing and deploying data solutions.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>NICE TO HAVE:
</b></h3><ul><li><ul><li>Practical experience with AWS data services (e.g., Glue, Sagemaker) and ETL/ELT methodologies.</li><li>
Understanding healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.</li></ul></li></ul></div></div>
<div><div>$110,000 - $160,000 a year</div><div>
Compensation at IMO Health is determined by job level, role requirements, and each candidate&rsquo;s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.</div><div>
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page.</div></div></div>

Semantic Data Modeler

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p><b>
Position Summary</b></p><p>
CVS Health is seeking an experienced analytics leader to join our Clinical Data Science team as the Lead Director, Data Science. This role is crucial in leveraging CVS Health&rsquo;s extensive clinical data to enhance health outcomes across various business lines and use cases. The successful candidate will be responsible for leading a team to design, develop, implement, and support advanced analytics solutions. The Lead Director will play a pivotal role in transforming clinical data into actionable insights, improving patient care capabilities, optimizing healthcare operations, and driving evidence-based decision-making.</p><p></p><p><b>
What You&rsquo;ll Do</b></p><ul><li><p>
Direct and mentor a team of data scientists, fostering a culture of innovation and collaboration to drive business value and insights through data science initiatives.</p></li><li><p>
Partner with stakeholders across the organization, including executives, clinicians, and business teams, to align data science efforts with business strategy and identify opportunities for data-driven solutions.</p></li><li><p>
Guide the design, development, validation, and implementation of analytics solutions that address complex business challenges, ensuring they effectively support decision-making processes and anticipate outcomes.</p></li><li><p>
Champion the use of advanced techniques, such as natural language processing (NLP) and large language models (LLMs), to extract actionable insights from unstructured clinical data, while overseeing the team&rsquo;s execution of these initiatives.</p></li><li><p>
Lead the strategic development of the clinical data feature store, facilitating the efficient adoption of future use cases and enhancing the organization&rsquo;s data capabilities.</p></li><li><p>
Oversee the exploration, validation, and interpretation of large datasets, ensuring the application of advanced statistical and mathematical approaches to derive meaningful insights.</p></li><li><p>
Drive the end-to-end development of analytics solutions, from defining problem statements to overseeing the deployment of models into production, ensuring alignment with organizational goals.</p></li><li><p>
Ensure the creation of impactful dashboards and data visualizations that effectively communicate analysis results and support strategic decision-making across the organization.</p></li><li><p>
Oversee the documentation of project details, including problem statements, business outcomes, and deployment instructions, to ensure knowledge transfer and continuity.</p></li><li><p>
Develop and lead presentations and consultations for existing and prospective stakeholders, articulating analytics opportunities, results, and strategic solutions.</p></li><li><p>
Provide technical coaching and professional development opportunities for data scientists, enhancing their skills and capabilities to meet organizational needs.</p></li><li><p>
Foster a team culture that prioritizes innovation, collaboration, and continuous improvement, encouraging team members to share ideas and best practices.</p></li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li><p>
10+ years of total business experience in analytics or data science.</p></li><li><p>
7+ years of experience solving analytics problems using advanced statistics, machine learning, and mathematical algorithms.</p></li><li><p>
5+ years of experience leading analytics projects from concept to delivery, coordinating across diverse stakeholder groups.</p></li><li><p>
5+ years of people management experience with a proven track record of leading highly effective and engaged teams.</p></li><li><p>
Experience building analytics solutions to solve business problems in the healthcare domain.</p></li><li><p>
Proficiency with statistical concepts and advanced analytic techniques, such as regression, tree-based non-linear models, time series analysis, and deep learning.</p></li><li><p>
Proficiency using natural language processing (NLP), large language models (LLMs), and Generative AI (Gen AI) to extract insights from text data.</p></li><li><p>
Proficiency in Python and SQL.</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Experience using clinical data from EMR systems.</p></li><li><p>
Proficiency with Google Cloud Platform (GCP) tools, including BigQuery, Vertex AI, DataProc, and Cloud Composer.</p></li><li><p>
Excellent written and verbal communication skills, including the ability to present complex ideas to various audiences.</p></li><li><p>
Strong analytical and problem-solving skills with the ability to handle multiple, complex projects in a deadline-driven environment.</p></li><li><p>
Highly self-motivated and attentive to detail.</p></li><li><p>
Ability to anticipate and prevent roadblocks throughout a project lifecycle and drive resolution/mitigation.</p></li></ul><p></p><p><b>
Education</b></p><ul><li><p>
Bachelor&rsquo;s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline.</p></li><li><p>
Master&rsquo;s degree preferred.</p></li></ul><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$144,200.00 - $288,400.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 12/31/2025<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Lead Director, Data Science - Clinical Insights & Informatics

AHOLD Delhaize

<div><b>Category/Area of Expertise:</b> Data-Science &amp; Analytics<br>
<b>Job Requisition:</b> 460791<br>
<b>Address: </b>USA-IL-Chicago-300 South Riverside Plaza
<br>
<b>Store Code: </b>Data Science (5157583)
<br>
<br>
Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.<br>
<br>
<b>Primary Purpose:</b><br>
<br>
A Data Scientist is a crucial member of the Data Science team. You will be responsible for contributing to the development industry-leading machine learning / AI algorithms. This position is an opportunity to be part of a fast-growing and globally focused network of data scientists, machine learning engineers, and AI practitioners developing novel approaches to personalization and recommender engines. You will have also have access to world class academics though our partnerships and joint contracts with universities, as well as our staff of engineers and researchers.<br>
<br>
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Chicago, IL, Quincy, MA.<br>
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Applicants must be currently authorized to work in the United States on a full-time basis.<br>
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<b>Duties &amp; Responsibilities:</b><br>
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Create algorithms to better personalize every customer touch point</li><li>
Develop our core algorithms with strong methodological rigor</li><li>
Identify strengths, weaknesses, and potential biases of modeling components</li><li>
Consult with our brands and business partners to create ML/AI solutions to their largest business challenges</li><li>
Assist Machine Learning Engineers in the development of SDKs for rapid prototyping and deployment of algorithms</li><li>
Build robust experimentation algorithms to continually improve existing algorithms</li></ul><br>
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Qualifications:</b><br>
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Bachelor's degree in Statistics, Mathematics, Economics; Master's Degree preferred</li><li>
3+ years of applied Data Science experience</li><li>
2+ years of experience deploying, scaling, and continually improving algorithms</li><li>
Broad industry experience with ML/AI/GenAI and commonly used statistical methods</li><li>
Expert recommender systems and personalization algorithms</li><li>
Expert hands-on knowledge of current AI/GenAI solutions</li><li>
Fluent knowledge and experience with using LLMs</li><li>
Above 95th percentile coding ability in Python and PySpark</li><li>
Deep understanding of, and experience applying, the following ML concepts:<ul><li>
Collaborative filtering</li><li>
Linear and scalar algebra</li><li>
Association rule mining</li><li>
Ranking algorithms</li><li>
Advanced regression, classification, clustering, and time series algorithms</li><li>
Automated hyperparameter tuning and model selection</li><li>
Causal inference modeling at scale for algorithm testing and evaluation</li><li>
Deep learning at scale for NLP</li></ul></li></ul><br>
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Preferred Qualifications:</b><br>
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Experience with advanced search concepts using deep learning #DICEJobs #LI-hybrid #LI-SS1</li></ul><br>
NC Salary Range: $75,040 - $112,560
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IL/MA Salary Range: $86,320 - $129,480
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<b>All ADUSA job offers take multiple factors into consideration including, but not limited to salary range, internal equity, a candidate's qualifications, geographic region, job-related knowledge and skills.
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<b>This position is eligible for an incentive bonus based on company performance as provided by the plan terms and governing documents.</b><br>
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At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.<br>
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Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.<br>
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Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.<br>
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We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

Data Scientist

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