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data engineer (associate) Jobs in Chicago

data engineer (associate)

data engineer (manager)

data scientist (associate) Jobs in Chicago

data scientist (associate)

data scientist (manager)

data analyst

The University of Chicago

<div><div>Department</div>
BSD PSY - Lyons Lab<div><br>
About the Department</div>
To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.<div><br>
Job Summary</div>
The Research Analyst supports the Precision Analytics Team by coordinating projects, schedules, and reporting. This role helps keep the team organized and ensures that quality data and analytics initiatives are delivered in format and timeframe as committed. By serving as a central point of communication and coordination, the Analyst helps systems staff, and research fellows stay connected across projects and ensures that the team&rsquo;s work is accessible and aligned with organizational priorities.<div></div><div>
Responsibilities</div><ul><li>
Coordinates schedules, meetings, and project timelines for the Precision Analytics Team.</li><li>
Tracks and maintains records of analytics projects, deliverables, and outcomes.</li><li>
Supports communication with internal teams, leadership, and external partners.</li><li>
Generates and shares reports to inform decision-making and program evaluation.</li><li>
Collaborates closely with analysts, the systems coordinator, research fellows, and the Associate Director of Precision Analytics.</li><li>
Ensures smooth integration of analytics with program, training, and operations teams.</li><li>
Contributes to organizational projects beyond core duties, such as event logistics, communications, or process documentation.</li><li>
Maintains technical and administrative support for a research project.</li><li>
Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.</li><li>
Installs, sets up and performs experiments; interacting with students and other laboratory staff under the direction of the principal investigator.</li><li>
Maintains recruiting and scheduling research subjects; assisting with developing or amending study protocols; assisting with developing data collection tools; assisting with building databases; and providing general administrative support. Has general awareness in research techniques or methods, regulatory policies and procedures, and relevant scientific field.</li><li>
Performs other related work as needed.</li></ul><div><br>
Minimum Qualifications</div><div>
Education:</div>
Minimum requirements include a college or university degree in related field.<div><br>
Work Experience:</div>
Minimum requirements include knowledge and skills developed through &lt; 2 years of work experience in a related job discipline.<div><br>
Certifications:</div><div>
-</div><div></div><div>
Preferred Qualifications</div><div></div><div>
Experience:</div><ul><li>
Conducting applied research or evaluation.</li></ul><div></div><div>
Technical Skills or Knowledge:</div><ul><li>
Proficient in Microsoft Office 365, Excel, and project management platforms.</li><li>
Learning management systems, analytics tools, or research platforms is a plus.</li></ul><div></div><div>
Preferred Competencies</div><ul><li>
Strong organization and project management skills.</li><li>
Attention to detail and accuracy in reporting and record-keeping.</li><li>
Effective communication and relationship-building abilities.</li><li>
Comfort working with data and ability to support technical teams.</li><li>
Problem-solving skills.</li><li>
Organizational skills.</li><li>
Verbal and written communication skills.</li><li>
Work independently and as part of a team.</li></ul><div></div><div>
Application Documents</div><ul><li>
Resume/CV (required)</li><li>
Cover Letter (required)</li></ul><div><div><div><div><div><div><div><div><br>
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.</div></div></div></div></div></div></div></div><div><br>
Job Family</div>
Research<div><br>
Role Impact</div>
Individual Contributor<div><br>
Scheduled Weekly Hours</div>
40<div><br>
Drug Test Required</div>
No<div><br>
Health Screen Required</div>
No<div><br>
Motor Vehicle Record Inquiry Required</div>
No<div><br>
Pay Rate Type</div>
Salary<div><br>
<br>
FLSA Status</div>
Exempt<div><br>
<br>
Pay Range</div>
$50,000.00 - $70,000.00<div>
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting.</div><div><br>
Benefits Eligible</div>
Yes<div>
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the<div> </div><div>Benefits Guidebook</div><div>.</div></div><div><br>
Posting Statement</div><div>
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the <div>University's Notice of Nondiscrimination.</div></div><div></div><div><br>
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via <div>Applicant Inquiry Form.</div></div><div></div><div><br>
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.</div><div></div><div><br>
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: <div>http://securityreport.uchicago.edu</div>. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div></div>

Research Analyst, Precision Analytics Program Administrator

Wonder

<div><p><b>About Grubhub</b></p><p></p><p>
At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It&rsquo;s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.
</p><p></p><p>Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners&rsquo; doors&mdash;and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.
</p><p></p><p>Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.</p><p></p><p><b>
About The Opportunity</b></p><p>
The CRM Analytics Analyst role is part of Grubhub&rsquo;s Growth team. The Analyst will drive insights to inform the strategic direction of the Growth team&rsquo;s marketing investments, support ongoing tracking towards department-wide goals, and support test design and evaluation of CRM marketing initiatives for existing customers. To achieve these objectives, you will also be responsible for driving regular analyses and reporting, as well as larger analytical projects focused on connectivity with business outcomes, automation, and behavioral analysis. Driving decisions that touch Grubhub&rsquo;s main channel to reach customers directly, you will have the opportunity to influence decisions impacting a significant portion of Grubhub&rsquo;s business.</p><p></p><p>
The ideal candidate will have not only strong quantitative qualifications, but also an ability to combine data-driven insights with conceptual thinking and a constant business-outcomes orientation. This role will require influence and coordination across multiple stakeholder groups at varying levels of the organization. As such, exceptional communication and ability to synthesize analysis into clear and compelling narratives is a must. The ideal candidate should also have a proven ability to operate successfully in a fast-paced and entrepreneurial environment. You will need to be able to establish a well-informed long term agenda, drive structured problem solving, while also remaining agile and resilient to new opportunities.</p><p></p><p><b>
The Impact You Will Make</b></p><ul><li><p>
Drive consumer and business insights to develop strategies for delivering growth and profitability using customer relationship management tools (e.g., push notifications, email)</p></li><li><p>
Support defining the roadmap for Customer Analytics to evolve and deepen the understanding of customer needs and behaviors</p></li><li><p>
Partner with Loyalty, Portfolio Analytics, Product, and Finance teams, amongst others, to identify growth opportunities, develop shared agendas, and drive meaningful in-market results</p></li><li><p>
Apply sound, data-driven business judgment, weighing multiple factors, to determine and influence prioritization of marketing, pricing, and product investments across Grubhub</p></li><li><p>
Perform goal tracking to meet the organization&rsquo;s KPIs</p></li><li><p>
Innovate and continuously advance your analytic capabilities and infrastructure to drive actionable consumer insights through reinvention of reporting and monitoring, automation, standardization, and democratization of data</p></li><li><p>
Support organization-wide decision-making utilizing not only quantitative dimensions but also by pairing it with strong conceptual problem solving, effectively synthesized into impactful, outcomes-oriented insights</p></li></ul><p></p><p><b>
What You Bring to the Table</b></p><ul><li><p>
Bachelor&rsquo;s degree required in STEM or other quantitative field (e.g., Engineering, Business, Finance, Statistics, Math, Science, etc.)</p></li><li><p>
4-6 years of professional experience in an analytics role</p></li><li><p>
Proficiency with data querying and analysis tools such as SQL and MS Excel is required</p></li><li><p>
Proven track record of using analytics and qualitative understanding of business drivers to enable and execute decision-making</p></li><li><p>
Exhibited ability to direct and synthesize complex analysis and data into easily understandable, compelling, and actionable insights</p></li><li><p>
Strong written and oral communication skills to effectively influence various functional groups and up to executive levels</p></li><li><p>
Strong self-management / prioritization and influence capabilities</p></li><li><p>
Experience with test and learn methodologies</p></li></ul><p></p><p><b>
Got these? Even Better</b></p><ul><li><p>
Master&rsquo;s degree in business, STEM, or other quantitative field</p></li><li><p>
Prior consulting experience</p></li><li><p>
Prior experience with direct response marketing test design and analytics</p></li><li><p>
Experience with Tableau and Python
</p></li></ul><p></p><p>Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome&mdash;and encouraged&mdash;to be in the office up to 5 days a week if it works for you.</p><p></p><p>
#LI-Hybrid</p><p></p><p>
New York: $128,000 - $135,000 per year.</p><p>
Illinois: $115,000 - $122,000 per year.</p><p></p><p>
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.</p><p></p><p><b>
Benefits</b></p><p></p><p>
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.</p><p></p><p><b>
A Final Note</b></p><p></p><p>
At Wonder, we believe that in order to build the best team, we must hire using an objective lens. We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. If you have a disability, please let your recruiter know how we can make your interview process work best for you.</p><p></p><p><b>
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy</b>.</p></div>

Sr. Analyst, Growth

American Bar Association

The American Bar Association (ABA) was founded on a commitment to advance the rule of law in the United States and beyond by providing practical resources for legal professionals, conducting law school accreditation, developing model ethics codes and more. Today, the ABA remains a member-based organization that works to ensure access to justice for all, a fair legal process, and respect for the rule of law at home and across the globe.
<br><br>
The ABA is committed to service and refining the standards that guide the legal profession. ABA staff are provided multiple types of continuing education and career development opportunities. Your work will help eliminate bias, enhance diversity, and advance the rule of law throughout the US and around the world.
<br><br>
The ABA recognizes the value staff contribute to our success through a generous benefits package that protects their health and their financial security. The ABA’s wide array of benefit offerings include 401(k), medical, dental, vision, flexible spending accounts, health spending accounts, supplemental life and disability insurance, prepaid legal programs, and a complimentary membership to the American Bar Association, which offers additional benefits.
<br><br>
Flexible/hybrid work arrangements may be available for residents of CA, DC, IL, IN, IA, MD, MI, MN, TX, VA, and WI. Residency requirements may apply. ABA employees are eligible to apply for the Public Service Loan Forgiveness Program (PSLF).
<br><br>
Job Summary/General Purpose of Job
<br><ul>
<li>Responsible for supporting an entity's activities using approved ABA technology mediums.</li>
</ul>
Essential Job Functions and Responsibilities (listed in order of importance and/or time spent)
<br><ul>
<li>Responsible for supporting an entity’s activities using approved ABA technology mediums.</li>
<li>Optimizes use of data and technical tools/systems to enhance the entity’s ability to effectively meet its strategic and tactical initiatives.</li>
<li>Partners with ABA Information Technology and engages, as needed, with the Accreditation Project’s technology vendor to assure the department’s technology needs are met.</li>
<li>Contribute to the maintenance of entity data, drafting, running, and editing reports: Prepare raw data from diverse sources for both internal analysis and public release. Create and maintain regular and ad hoc data reports to support accreditation activities. Perform regular ongoing data checks to ensure accuracy, consistency, and reliability of all data assets.</li>
<li>Optimizes business processes by leveraging available technology and identifies and suggests technology enhancements.</li>
<li>Assist with performing post-questionnaire audit processes to ensure data quality and assist with law school follow-ups as needed.</li>
<li>Troubleshoot issues and provide technical assistances to external users throughout the questionnaire cycle.</li>
<li>Assist with responding to data requests from various stakeholders including but not limited to Council committees, law schools, staff, and third-party researchers.</li>
<li>Help maintain retrievable archive of all accreditation data assets.</li>
<li>Performs other related duties as required.</li>
</ul>
Required Education, Qualifications, Experience
<br><ul>
<li>Possession of a bachelor’s degree from an accredited college or university and at least three years' experience; OR, possession of a high school diploma or GED and at least five years’ relevant professional experience.</li>
<li>Minimum three years of technical experience in data preparation, synthesis, and analysis using Excel or other advanced tools.</li>
<li>Previous experience in creating and maintaining public data reports and visualizations.</li>
<li>Previous experience working with internal and external clients to complete tasks and achieve results.</li>
</ul>
Preferred Education, Qualifications, Experience
<br><ul>
<li>Five or more years of technical experience in data preparation, synthesis, and analysis using Excel or other advanced tools.</li>
<li>Previous experience working within an education accreditation environment.</li>
<li>Previous experience working in a law school or other legal education environment.</li>
</ul>
Physical Requirements
<br><ul>
<li>Typical office work environment.</li>
</ul>
Extent of Travel Required in the Job
<br><ul>
<li>As a normal course of business, this job will typically require travel of less than 5% of the time.</li>
</ul>
<b>The American Bar Association is an Equal Opportunity Employer:</b> Disability/Veteran. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with the American Bar Association, please call 312-988-5188.

Legal Education - Programs Technology Specialist

<div><div>Department</div>
BSD MED - Administration - Finance<div><br>
About the Department</div>
The Department of Medicine was the first department created when the medical school began over 110 years ago. It has evolved into the largest department not only in the medical school with over 300 full time faculty but is also the largest department in the University. The main missions of the Department of Medicine, scholarship, discovery, education and outstanding patient care, occur in a setting of multicultural and ethnic diversity. These missions are supported by exceptional faculty and trainees in the department.<br>
<br>
The Department of Medicine also takes great pride in providing unparalleled, comprehensive and innovative patient care. The Department's clinical excellence is continually recognized by the highly regarded US News and World Report. Each of the Department's sub-specialty practices are recognized as programs of national, regional, and local distinction for our novel diagnostic and therapeutic patient care offerings.<br>
<br>
The Department of Medicine has a long and proud history of research and discovery in the basic, clinical and translational sciences. Currently, the Department of Medicine is among an elite group of medical centers who are leading in the discovery and delivery of personalized medicine. Our impressive pool of talented researchers is renowned for bridging the bench to the bedside, and clinical research evaluations of new drugs and devices. The educational mission of the Department of Medicine is to train exceptional healers and the future leaders in academic medicine.<br>
<br>
The Department is home to four top residency programs (Internal Medicine, Emergency Medicine, Dermatology and Medicine-Pediatrics) and twelve fellowship programs, including seven federally-funded training grants. Diversity of house staff and faculty is a key priority in our enterprise, both to cultivate leadership from underrepresented minorities and women and to reflect the ethnic and racial makeup of the patients we serve. Our trainees and faculty are recruited from top medical schools in the country.<div><br>
Job Summary</div>
Reporting to the Executive Administrator for the Department of Medicine (DOM) with matrix reporting to others, this person will build financial and data analytic capacity by independently learning current financial and related systems, optimizing available data/reports, independently identifying and quantifying opportunities, and developing new processes for improving the financial, productivity, quality, and other KPIs.<br>
<br>
Conducts and directs financial research to advance decision-making and communication to critical stakeholders. Prepares statistical reports, analysis, presentations, and financial studies of the Section's financial situation. Devises approaches for improving the general level of strategic and analytical thinking in the Section. Assesses the current financial analytic capacity needed and existing and proposes plans for reducing the gap between the two.<br>
<br>
Regularly works with a wide range of faculty and staff at all levels, including restricted and unrestricted financial and grant managers, fellowship program directors, etc., to communicate financial information and to assist with decision making. Designs and executes regular and ad hoc financial analysis, including forecasting, risk analysis, and evaluation of strategic options. Proactively identifies critical areas for attention and analysis.<div></div><div>
Responsibilities</div><ul><li>
Maintains and updates all recruitment data in Academic 360 through active partnership with every Section Administrator and Section Chief.</li><li>
Conducts FTE distribution, cFTE management, and template review exercises.</li><li>
Reconciles and reviews purchased service and joint venture agreements.</li><li>
Oversees management of IADF, discretionary accounts, and funds-flow reconciliation.</li><li>
Evaluates IADF and discretionary account management and funds-flow reconciliation.</li><li>
Manages purpose code and labor expense allocations and ensures proper cost attribution.</li><li>
Reviews and manages extra service pay submissions and identifies cost-saving opportunities.</li><li>
Develops and maintains data collection systems and dashboards to support the faculty compensation plan and other financial initiatives.</li><li>
Supports the development and distribution of robust financial, quality, productivity, and other key dashboards to Section Chiefs, Ambulatory Medical Directors, and Section Administrators.</li><li>
Executes quantitative and qualitative analyses to support decision-making and guide departmental initiatives.</li><li>
Analyzes financial statements, clinical and research revenue, and budget variances to identify opportunities for growth and efficiency.</li><li>
Conducts lookback and proforma analyses to evaluate recruitment and productivity assumptions.</li><li>
Evaluates acuity and volume data to identify productivity improvements and manage related projects.</li><li>
Audits and supports section-level budget data to ensure reporting accuracy and informs annual budget cycles.</li><li>
Utilizes UCM Tableau and other tools to connect financial results with strategic insights and communicate findings effectively.</li><li>
Partners with revenue cycle team to identify and implement revenue-enhancing strategies.</li><li>
Directs and manages projects throughout the Department.</li><li>
Comprehensive project management of strategic initiatives. Develops project work plans including identification of key stakeholders, deliverables, timelines and required resources for initiatives related, but not limited, to patient access, patient experience, clinic utilization, staff engagement, and clinical compliance.</li><li>
Oversees operational and logistical aspects of projects, such as meeting schedules, agenda development, etc.; ensures project requirements are achieved in a timely fashion and within guidelines. Continuously assesses and makes effective recommendations to address barriers or obstacles to achieving project goals.</li><li>
Develops measurement and analytic strategies to monitor the outcomes of projects over time.</li><li>
Applies standardized tools and methodologies for consistent project execution.</li><li>
Collaborates with Section Administrators to develop budget-positive and equity-positive business cases for improved ambulatory, inpatient, and procedural performance.</li><li>
Utilizes standardized approaches, tools, and technology for internal consultancy.</li><li>
Prepares concise, creative, professional summaries of plans, as appropriate.</li><li>
Effectively presents findings to all levels of staff, targeting the presentation towards the knowledge level and needs of the audience, including internal senior management, clinicians, and front-line staff</li><li>
Works to ensure smooth information flow between involved parties.</li><li>
Develops summary communication materials for executive level presentations, as requested.</li><li>
Encourages and engages others in discussion to build trust among team members by communicating &lsquo;early and often&rsquo;.</li><li>
Utilizes strong coping and perceptivity skills in identifying the appropriate pace of change as well as awareness of stakeholder needs, and incorporates that into planning and execution of initiatives.</li><li>
Proactively considers and evaluates complexities of projects.</li><li>
Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.</li><li>
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.</li><li>
Performs other related work as needed.</li></ul><div><br>
Minimum Qualifications</div><div>
Education:</div>
Minimum requirements include a college or university degree in related field.<div><br>
Work Experience:</div>
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.<div><br>
Certifications:</div><div>
-</div><div></div><div>
Preferred Qualifications</div><div></div><div>
Education:</div><ul><li>
Advanced degree.</li></ul><div></div><div>
Experience:</div><ul><li>
Background in the healthcare field, with demonstrated strength in analytics, process improvement, and project management.</li></ul><div></div><div>
Preferred Competencies</div><ul><li>
Proven skill in project scoping, action planning, and execution using structured tools and metrics.</li><li>
Exceptional organizational ability to prioritize and manage multiple concurrent projects.</li><li>
Strong analytical and research skills; synthesize complex data for diverse audiences.</li><li>
Excellent communication and interpersonal skills, with experience working with senior management and multidisciplinary teams.</li><li>
Demonstrated initiative, independence, and sound judgment in resolving complex issues.</li><li>
Handle sensitive, confidential, and politically complex matters with discretion.</li></ul><div><br>
Application Documents</div><ul><li>
Resume/CV (required)</li><li>
Cover Letter (required)</li></ul><div><div><div><div><div><div><div><div><br>
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.</div></div></div></div></div></div></div></div><div><br>
Job Family</div>
Research<div><br>
Role Impact</div>
Individual Contributor<div><br>
Scheduled Weekly Hours</div>
37.5<div><br>
Drug Test Required</div>
No<div><br>
Health Screen Required</div>
No<div><br>
Motor Vehicle Record Inquiry Required</div>
No<div><br>
Pay Rate Type</div>
Salary<div><br>
<br>
FLSA Status</div>
Exempt<div><br>
<br>
Pay Range</div>
$70,000.00 - $100,000.00<div>
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting.</div><div><br>
Benefits Eligible</div>
Yes<div>
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the<div> </div><div>Benefits Guidebook</div><div>.</div></div><div><br>
Posting Statement</div><div>
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the <div>University's Notice of Nondiscrimination.</div></div><div></div><div><br>
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via <div>Applicant Inquiry Form.</div></div><div></div><div><br>
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.</div><div></div><div><br>
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: <div>http://securityreport.uchicago.edu</div>. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div></div>

Senior Analyst, Business Solutions and Operational Strategy

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Scientist to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll conduct advanced analytics and build predictive models that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a reporting role or a dashboard factory&mdash;you'll own the full analytics lifecycle from hypothesis formulation through insight delivery. You'll work on problems that matter: experimental designs that validate business strategies, predictive models that surface hidden patterns in complex data, and analytical workflows that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.<br>
<br>
The variety is real. In your first year, you might conduct customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an anomaly detection model for a utility company's operational data. If you thrive on rigorous analysis, clear communication of complex findings, and rapid iteration, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Design and execute end-to-end data science workflows&mdash;from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible.</li><li>
Develop both traditional statistical and modern AI-powered analyses&mdash;including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.</li><li>
Build predictive and prescriptive models that drive business decisions&mdash;customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.</li><li>
Rapidly build interactive data stories and applications&mdash;deliver insights through compelling visualizations and user-friendly interfaces that stakeholders can explore.</li><li>
Translate complex analytical findings into actionable insights&mdash;create compelling data narratives, develop presentation-ready deliverables, and communicate technical results to non-technical stakeholders in ways that drive decisions.</li><li>
Collaborate directly with clients and senior team members&mdash;understand business problems, formulate the right analytical questions, and contribute to insights that create measurable value.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ years of hands-on experience conducting data science and advanced analytics&mdash;not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.</li><li>
Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing clean, reproducible code, not just notebooks.</li><li>
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, and understanding of when different approaches are appropriate for different questions.</li><li>
Experience with deep learning and modern neural architectures&mdash;understanding of transformer models, embeddings, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods.</li><li>
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can write efficient queries.</li><li>
Strong visualization and rapid data application development skills&mdash;proficiency with programmatic visualization libraries (Plotly, Altair) and AI-assisted rapid application development using Cursor, Lovable, v0, or similar tools. You can quickly build interactive data interfaces that bring analyses to life.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Strong data storytelling skills are essential.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro), or uncertainty quantification in business contexts.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new problem to crack.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions&mdash;pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.</div><div>
A team that thinks deeply. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior roles.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Data Scientist (Associate)

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><b>
Position Summary</b></p><p><br>
We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.</p><p></p><p>
You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:</p><ul><li><p>
Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.</p></li><li><p>
Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.</p></li><li><p>
Data Quality &amp; Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access.</p></li><li><p>
Data Modeling &amp; Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.</p></li><li><p>
Data Integration &amp; Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models</p></li><li><p>
Documentation &amp; Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes.</p></li></ul><p><b>
Required Qualifications</b></p><ul><li><p>
2+ years of applicable work experience</p></li><li><p>
Proficiency in Python, specifically with ETL pipelines</p></li><li><p>
Strong proficiency in SQL and experience in developing complex queries</p></li><li><p>
Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)</p></li><li><p>
Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts.</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Experience working with healthcare data, especially Epic.</p></li><li><p>
Experience using GCP&rsquo;s BigQuery</p></li><li><p>
Knowledge of data governance best practices in a cloud environment.</p></li><li><p>
Experience working with Machine Learning processes.</p></li></ul><p><b><br>
Education</b><br>
College degree or certification in related fields</p><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>
$64,890.00 - $173,040.00<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: 01/09/2026<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>

Analytic Data Engineer

Legal Education - Program Technology Specialist

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