What Jobs are available for Big Data Analytics in Chicago?
Showing 83 Big Data Analytics jobs in Chicago
Data Science Manager, GenAI, Strategic Analytics - Data Science
Posted 2 days ago
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Job Description
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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Data Science Preceptor
Posted 16 days ago
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Job Description
The University of Chicago’s Data Science Institute, in partnership with the City Colleges of Chicago (CCC), invites applications for the position of University of Chicago (UChicago) Data Science Preceptorship. The UChicago and CCC Preceptorship program will develop the next generation of teaching academics for data science, engineering, and computer science education. This unique program emphasizes pedagogical best practices and allows Preceptors, from a variety of STEM PhD backgrounds, the opportunity to broaden their classroom skills and enhance their teaching and scholarship portfolios with the support of UChicago and CCC faculty mentorship.
The initial appointment is expected to begin August 1st, 2026. Preceptors will work side by side with faculty from UChicago and CCC on teaching and developing course materials. Professional development training will be provided by both the UChicago and CCC faculty. Preceptors will gain experience teaching across learning environments with opportunities to engage with UChicago and CCC students in STEM courses. The teaching obligation is expected to be 2 one-quarter courses at UChicago and 2 one-semester courses at CCC per academic year. This role includes dedicated time for research and scholarship activities. This position also includes structured professional development, administrative duties and student mentoring activities.
The position is for an initial two-year appointment with a renewal for a third year possible.
This position is benefits eligible. For information on benefits, please consult the University of Chicago Benefits Guide: .
QualificationsRequired: A Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science.
Application InstructionsApplications must be submitted online through the University of Chicago’s Academic Jobs website:
Review of applications will begin on November 15, 2025, and will continue until all available positions are filled.
The following materials are required:
(a) a cover letter,
(b) a curriculum vitae,
(c) two or more letters of reference, at least one of which must address teaching ability,
(d) teaching statement (description of teaching and mentoring philosophy and experience).
Optional materials: course evaluations from courses previously taught.
Salary Range or Pay Grade : $69,700 - 90,200
Equal Employment Opportunity Statement
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 University's Notice of Nondiscrimination .
Job seekers in need of a reasonable accommodation to complete the application process should call or email with their request.
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Data Science Manager
Posted today
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Job Description
Company Description:
McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.
At McDonald's, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House Charities to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.
Job Overview
At McDonald's, data isn't just a tool - it's the secret ingredient behind every menu innovation, pricing strategy, and customer experience. We're looking for a Data Science Manager to lead experimentation and analytics that directly influence how millions of people experience McDonald's around the world. This is your opportunity to bring cutting-edge analytics to one of the world's most iconic brands - and see the tangible impact of your models in over 40,000 restaurants across 100+ countries.
What You'll Do
You'll be at the intersection of data science, strategy, and innovation - designing experiments and insights that move the business forward.
- Lead large-scale test-and-learn initiatives - A/B tests, matched market tests, synthetic controls - that guide global pricing, promotions, and menu strategies.
- Apply advanced causal inference (DiD, panel regression, matching, synthetic control) to measure what truly drives performance and customer behavior.
- Quantify real-world impact - measure incremental lift for new menu items, assess cannibalization, and evaluate long-term brand effects.
- Turn data into strategy - uncover what drives loyalty, frequency, and digital adoption across millions of customers.
- Build tools that scale - create dashboards and analytical products that empower teams across markets to make faster, smarter decisions.
- Mentor a team of analysts, building a culture that blends analytical rigor with curiosity and creativity.
Responsibilities
- Lead the design and execution of test-and-learn experiments, including A/B testing, matched market tests, and synthetic control methods.
- Apply causal inference frameworks (DiD, panel regression, propensity score matching, synthetic control, time series analysis) to quantify the impact of pricing, promotions, product launches, and operational changes.
- Lead the measurement of incremental lift for promotions and new menu items, accounting for cannibalization and long-term effects.
- Work with customer-level data to uncover insights on customer behavior, purchase patterns and loyalty drivers.
- Build analytical tools and dashboards to democratize insights and support faster decision-making.
- Coach and mentor analysts, fostering a culture of analytical excellence and business impact.
Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Economics, Applied Mathematics, or a related field.
- Relevant 5+ years of experience in applied analytics, preferably in QSR, CPG, or retail.
- Proficiency in Python and SQL, with hands-on experience in statistical modeling and machine learning.
- Demonstrated expertise in causal inference techniques (DiD, fixed effects models, matching methods).
- Experience with A/B testing design, execution, and interpretation.
- Strong business acumen and the ability to translate data into actionable insights for senior leadership.
Preferred Qualifications
- Experience with revenue growth management, pricing analytics, or marketing measurement.
- Experience with using clickstream data to understand digital customer journey.
- Familiarity with data visualization tools (Tableau, Power BI, or similar).
- Understanding of global markets and cultural nuances in consumer behavior.
Compensation
Bonus Eligible: YES
Long - Term Incentive: YES
Benefits Eligible: YES
Salary Range
The expected salary range for this role is $129,800 - $165,490 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requsition ID: 958
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Technical Product Owner - Data Science & Analytics
Posted 2 days ago
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Job Description
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
A Technical Product Owner / Asset Owner plays an integral role in the successful design, deployment, and adoption of end-to-end analytical solutions to better serve our business partners. This role will support the Middle & Large Business organization as part of the Middle & Large Business Data Science, AI and Analytics team. The Middle & Large Business Data Science, AI and Analytics team is one of three practices (business-aligned teams) in the broader Business Insurance Data Science, AI and Analytics organization.
As a Technical Product Owner / Asset Owner, you will be expected to build relationships and partner with stakeholders to ensure that data science solutions are addressing business problems as intended and achieving the expected value. You will identify gaps and opportunities in existing processes and devise new or improved data science solutions to identify risks, enhance processes, and increase operational efficiency. Additionally, this role provides tactical support to the Data Science team by driving project execution, roadmaps, and regular updates to business partners. The ability to take detailed data science output and highlight key findings, results, and recommendations to our business partners is fundamental to project success.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities:
+ Build strong partnerships with business customers and technology partners, and act as key point of contact for several Data Science assets with internal stakeholders
+ Assist in identifying opportunities to evolve or reuse existing assets or develop new assets that could add operational and business value
+ Assist with the communication plan and marketing strategy of key capstone initiatives. Build customer artifacts to support adoption, marketing and socialization including documentation, project plans, and roadmaps
+ Develop disciplined project timelines and support teams' capacities to deliver results in a timely manner
+ Assist in execution of well-designed communication plans tailored to audiences ranging from technical peers to business stakeholders of various levels
+ Assist in development of vision and strategic planning, success criteria, CBA and value propositions for Data Science assets
+ Assist in development of new processes and best practices to mature the operating model of the broader Data Science, AI and Analytics team
+ Communicate with audiences of various levels and diverse background
Qualifications:
+ 2+ years of experience in business consulting, analytic or machine learning product management, or strategic/analytical roles highly desired
+ Agile and Product Owner experience highly desired
+ Experience in turning a new business problem into an executable technical or analytical solution
+ Experience in impactful storytelling, communication, and relationship management across a broad range of technical and non-technical audiences
+ Develop storylines and deliver key messages through appropriate channels tailored to the audience's perspectives and need
+ Be able to articulate technical concepts to a non-technical audience
+ Comfortable with working on novel, ambiguous business problems with no clear-cut solutions while flexing different roles to achieve project success
+ Ability to manage multiple projects concurrently, and to set priorities and plans to meet business goals and objectives
+ Experience in leveraging Microsoft tools to develop compelling visuals articulating complex analytical topics
+ Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
+ Exposure to Generative AI capabilities (and limitations) and use-cases
+ Basic understanding of statistics, the analytical project lifecycle, data science concepts, data transformation and data warehouse concepts
+ Domain knowledge in Insurance and KPIs is a plus
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$92,480 - $138,720
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
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SkAI Data Science Preceptor
Posted 16 days ago
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Job Description
The University of Chicago’s Data Science Institute, in partnership with the City Colleges of Chicago (CCC), and the US National Science Foundation and Simons Foundation-funded National AI Institute for the Sky ("SkAI Institute") invites applications for the position of the University of Chicago (UChicago) SkAI Data Science Preceptorship with a focus on teaching and scholarship in the area of Astronomy and AI . The UChicago and CCC Preceptorship program develops the next generation of teaching academics for data science and astronomy education. This unique program emphasizes pedagogical best practices and allows Preceptors the opportunity to broaden their classroom skills and enhance their teaching and scholarship portfolios with the support of UChicago and CCC faculty mentorship. UChicago is recruiting Preceptors with an Astronomy and AI focus to co-develop new Astro-AI curriculum and teach courses at UChicago, CCC, and other SkAI partner institutions.
The initial appointment is expected to begin September 1, 2026. Preceptors will work side by side with faculty from UChicago and CCC on teaching and developing course materials. Professional development training will be provided by both the UChicago and CCC faculty. Preceptors will gain experience teaching across learning environments with opportunities to engage with UChicago and CCC students in STEM courses. The teaching obligation is expected to be 2 one-quarter courses at UChicago and 2 one-semester courses at CCC per academic year. This role includes dedicated time for research and scholarship activities. This position also includes structured professional development, administrative duties and student mentoring activities.
The position is for an initial two-year appointment with a renewal for a third year possible.
This position is benefits eligible. For information on benefits, please consult the University of Chicago Benefits Guide: .
QualificationsA Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science.
Application InstructionsApplications must be submitted online through: .
Review of applications will begin on November 15, 2025, and will continue until all available positions are filled.
Required materials are:
(a) a cover letter,
(b) a curriculum vitae,
(c) two or more letters of reference, at least one of which must address teaching ability, and a
(d) teaching statement (description of teaching and mentoring philosophy and experience).
Optional materials: course evaluations from courses previously taught.
Salary Range or Pay Grade : $69,700 - 90,200
Equal Employment Opportunity StatementThe 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 University's Notice of Nondiscrimination .
Job seekers in need of a reasonable accommodation to complete the application process should call or email with their request.
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Director, Marketing Data Science
Posted 2 days ago
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Job Description
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
**Day to Day**
At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Director of Data Science to define and drive our data science endeavors for Indeed's Marketing organization. The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams.
Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day.
As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers.
**Responsibilities**
+ Define and oversee the data science roadmap, aligning with broader company goals
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Intercementality testing.
+ Manage teams of data scientists and data engineers, nurturing their growth and ensuring delivery of key projects
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Collaborate with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences
+ Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements
**Skills/Competencies**
+ Bachelor's Degree in Computer Science, Mathematics, Statistics
+ 10+ years of experience in data science, analytics, or a related field with 5+ years in a leadership role overseeing data science teams
+ A deep understanding of machine learning, statistical modeling, and predictive analytics.
+ Experience with LLMs
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with product teams to drive business growth
+ Experience communicating and influencing product, technical, and business direction across all levels of a large organization
**Salary Range Transparency**
US Remote 204,000 - 296,000 USD per year
Austin Metro Area 204,000 - 296,000 USD per year
NYC Metro Area 224,000 - 324,000 USD per year
Seattle Metro Area 237,000 - 343,000 USD per year
San Francisco Bay Area 244,000 - 354,000 USD per year
**Salary Range Disclaimer**
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
**Benefits - Health, Work/Life Harmony, & Wellbeing**
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at Opportunities and Accommodations Statement**
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page ( & Belonging**
Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
**Indeed's Employee Recruiting Privacy Policy**
Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at , we also want to make you aware of our recruitment specific privacy policy found at .
**Agency Disclaimer**
Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.
**Reference ID:** **46207**
**The deadline to apply to this position is (11/5/2025). Job postings may be extended at the hiring team's discretion based on applicant volume.**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Reference ID: 46207
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Data Science Advisors- Hybrid
Posted 2 days ago
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Job Description
Responsibilities-
+ Utilize predictive modeling, segmentation, and machine learning methods to develop technical solutions to increase revenue and margins and provide thought leadership for advanced analytic projects and solutions.
+ Work on projects from inception to delivery.
+ Work with senior leaders and business partners (Technology, Clinical, Operations, etc.) to develop new predictive, forecasting, and natural language processing ("NLP") models.
+ Perform data mining by applying machine learning and supervised learning algorithms.
+ Support advanced analytical and data mining efforts including clustering, segmentation, logistic and multivariate regression, decision trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis. Visualize, interpret, report, and communicate data findings in various formats using Tableau and ggplot.
+ Hybrid work schedule.
+ The salary for this position is $123,456.43 per year and this role is eligible for standard company benefits.
Qualifications-
Requires a Bachelor's degree or foreign equivalent in Data Science, Business Analytics, or a closely related field and 3 years of IT experience. Must have experience with: R; SQL; Python; Pyspark; regression; decision trees; support vector machines; random forests; neural networks; Oracle; Teradata; SQL Server; Hadoop; Tableau; and ggplot.
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 105,300 - 175,500 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group .
**About The Cigna Group**
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
_Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws._
_If you require reasonable accommodation in completing the online application process, please email:_ _for support. Do not email_ _for an update on your application or to provide your resume as you will not receive a response._
_The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State._
_Qualified applicants with criminal histories will be considered for employment in a manner_ _consistent with all federal, state and local ordinances._
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Strategic Analytics - Senior Manager, Data Science
Posted 2 days ago
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Job Description
The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm.
Recruiting for this role ends on November 13, 2025
Key Responsibilities
+ Lead large-scale data science projects: Oversee the planning, execution, and delivery of highly complex predictive modeling initiatives that impact firm-wide strategies and practices
+ Strategic analytics & model development: Design, build, and validate predictive models to forecast critical business outcomes, ensuring solutions align with firm leadership's goals
+ Continuous improvement: Identify and implement opportunities to enhance modeling processes, data pipelines, and project methodologies to ensure ongoing innovation, efficiency, and best-in-class results
+ Data stewardship & feature engineering: Direct acquisition, preparation, and enrichment of datasets from diverse sources to maximize model accuracy and relevance
+ Model deployment & impact measurement: Guide integration of predictive models into business operations, set up monitoring systems, and refine models based on real-world feedback
+ Communication & stakeholder management: Translate analytics insights into clear, actionable recommendations for leadership, and deliver compelling visualizations and reports
The successful candidate will possess:
+ Ability to translate analytical findings into strategic business recommendations tailored for firm leadership and decision makers
+ Proven leadership in managing analytics teams or projects, including mentoring, team-building, and overseeing model deployment
+ Exceptional stakeholder engagement, collaboration, and interpersonal skills, with experience liaising between technical and business teams
Qualifications
Required:
+ Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related field
+ Minimum 8 years in predictive analytics, data science, or related roles
+ Expertise in predictive modeling techniques, including time-series forecasting, ensemble methods, and machine learning algorithms
+ Proficiency with data science programming languages such as Python, R, and SQL, and experience using leading machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost)
+ Strong statistical analysis skills, including hypothesis testing, model validation, and performance measurement
+ Experience with data visualization tools (e.g., Tableau) and ability to communicate complex results in clear, actionable formats for executive stakeholders
+ Demonstrated project management skills, including managing deliverables, prioritizing tasks, and meeting deadlines under pressure
+ Ability to travel 0 - 5%, on average, based on the work you do and the clients and industries/sectors you serve.
+ Limited immigration sponsorship may be available
Preferred:
+ Experience in a professional services firm
+ Expertise in Tableau and DataRobot
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $253,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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Lead Data Scientist GenAI, Strategic Analytics - Data Science
Posted today
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Job Description
The Team
Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth.
GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives.
Recruiting for this role ends on December 1, 2025
Work You'll Do
Client Engagement & Solution Scoping
+ Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases.
+ Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents).
+ Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation.
+ Solution Architecture & Design
+ Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.).
+ Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms).
+ Define and govern reliable, ethical, and compliant data sourcing and management.
Development & Customization
+ Lead model fine-tuning, prompt engineering, and customization for client-specific needs.
+ Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience.
+ Drive thorough validation, testing, and iteration to ensure quality and accuracy.
Implementation, Deployment & Change Management
+ Manage solution rollout, including cloud setup, configuration, and production deployment.
+ Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users.
Risk, Ethics & Compliance
+ Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes.
+ Monitor performance, implement KPIs, and manage model retraining and auditing processes.
Stakeholder Communication
+ Prepare executive-level reports, dashboards, and demos to summarize progress and impact.
+ Coordinate across internal teams, tech partners, and clients for effective project delivery.
Continuous Improvement & Thought Leadership
+ Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams.
+ Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies.
Qualifications
Required:
+ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
+ 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI.
+ Independent thinker who can create the vision and execute on transforming data into high end client products.
+ Demonstrated accomplishments in the following areas:
+ Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering).
+ Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP).
+ Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows.
+ Knowledge of solution architecture, risk assessment, and mapping technology to business goals.
+ Familiarity with agile methodologies and iterative delivery.
+ Commitment to responsible AI, including data ethics, privacy, and regulatory compliance.
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available.
Preferred:
+ Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials.
+ Experience with data visualization tools such as Tableau
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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Lead Data Science Product Mgr
Posted 2 days ago
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Job Description
Join HCSC and be part of a purpose-driven company that will invest in your professional development.
**Job Summary**
We are looking to hire a Lead Data Science Product Manager for The AI Innovation Lab at HCSC. The AI Lab is focused on application of leading-edge AI technologies to the business challenges of HCSC, and the product manager of this team owns key responsibilities such as stakeholder engagement, product prioritization, scoping, execution, and delivery on a portfolio that focuses primarily on Generative AI applications. This is an exciting opportunity to lead the adoption of AI to transform one of HCSC's core capabilities and drive tremendous impact for our customers and members.
At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to work with massive datasets to drive revenue growth, improve our operational and member-facing processes, and affect how healthcare is delivered to our 17 million members.
An ideal candidate is someone who has a demonstrated track record of leading or delivering analytical projects and products with measurable value, can see the big picture and effectively communicate with executives, has an ability to explain complex technical concepts to non-technical audiences, and has a laser-focused customer and user-centric mindset. Day-to-day tasks include engaging senior and executive leadership in the domain area to understand their most significant business challenges, designing new AI products and solutions to automate or enable better decision making to address these challenges, building long-term product roadmaps, scaling and delivering on those products by working within cross-functional data science, IT, and business teams, and providing overall product leadership for one or more of our machine learning and AI initiatives. Successful candidates will also have indirect leadership over data scientists and engineers assigned to these initiatives.
Note that while this position requires an understanding of data science, machine learning, and AI and its applications, it does not require "hands on" technical work such as coding. We are looking for a businessperson who has a strong technical background that can lead and indirectly influence both IT and business teams to scale and deploy models in a complex organizational environment.
The AI Innovation Lab works within the context of the broader AI Solutions team at HCSC. The role reports to the Senior Director of Product Management for AI Solutions. There are many different domains (or thematic units) within AI Solutions, with topics that include Claims and Payment Integrity, Member Engagement, Utilization Management, Document Intelligence, Risk Stratification, and the AI Innovation Lab. Generally, one (or sometimes two) product managers are assigned for each different domain area.
**Required Job Qualifications:**
* Bachelors degree and 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Actuarial credential or Masters degree and 4 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field OR Ph.D. and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR 8 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field
* Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) Generative AI; 6) understanding of healthcare.
* Strong learning and growth mindset
* Customer-focused
* Strong interpersonal, verbal and written communication skills
* A track record of independently delivering or leading the delivery of multiple complex analytics or data science projects
**Preferred Job Qualifications:**
* Previous product management experience
* Experience with Generative AI and other cutting edge AI technologies (e.g., agentic AI) is strongly preferred.
* Previous experience working with insurance claims systems and/or healthcare experience
* Experience with Iterative / Agile / Scrum development
*Experience successfully implementing at-scale A.I. solutions in cloud environments
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**Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!**
**Pay Transparency Statement:**
At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting .
The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.
**HCSC Employment Statement:**
We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.
**Base Pay Range**
$110,000.00 - $198,600.00
Exact compensation may vary based on skills, experience, and location.
**Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.**
**Join our Talent Community. ( more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities.
Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment.
HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants.
If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at to request reasonable accommodations.
Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions.
Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas,
Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association
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