What Jobs are available for Senior Data Scientist in Chicago?

Sr Data Scientist - GD07AEData Scientist - GD08AE
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.
Step into the future with The Hartford as a Data Scientist / Sr Data Scientist, where Generative AI isn't just a buzzword- it's central to our strategy. Join a team that's pioneering AI-driven solutions in underwriting, claims processing, and customer service, transforming how we operate and make decisions. As part of our horizontal language-focused Gen AI team, you'll tackle advanced use cases and shape the development of Gen AI capabilities across the organization. Here, your work will have a tangible impact, driving innovation and operational excellence with cutting-edge AI tools. If you're looking for a role where your expertise is not only valued but essential to our success, The Hartford is the place for you.
We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).
Responsibilities :
+ Support The Hartford's AI innovation strategy to identify and implement high-end use cases , ensuring alignment with business objectives and emerging industry trends.
+ Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.
+ P artner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.
+ Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.
+ Rapidly prototype with cutting-edge t ools, such as VertexAI / Google a gent development kit, LangChain / LangGraph , RAG frameworks, HuggingFace , OpenAI APIs, etc.
+ Research and recommend noval foundation model options, tools, and libraries to improve solutions in performance and reliability.
+ Develop evaluation pipelines for generati ve outputs using a mix of automatic metrics, human feedback, and llm -as-a-judge methods.
+ Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment.
Qualifications :
+ Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field .
+ 3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI .
+ Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain / LangGraph , RAG frameworks, HuggingFace , OpenAI APIs, etc.
+ Solid understanding of prompt engineering, retrieval-augmented generation (RAG) , agent workflow, and LLM evaluation.
+ Proficiency in Python and ML frameworks such as PyTorch , TensorFlow, etc.
+ Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc.
+ Strong analytical, problem solving and debugging skills.
+ Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.
+ 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:
$90,160 - $166,080
The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience.
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.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
As a **Principal** **Data Scien** **tist** , you will help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
**Data Stewardship & Team Enablement**
+ Oversee data acquisition, formatting, and documentation while mentoring engineers on best practices in data cleaning and analysis. Lead efforts to identify data gaps and guide ethical and privacy-focused data preparation.
**Model Evaluation & Operational Excellence**
+ Assess and refine team models, promote scalable modeling practices, and introduce innovative evaluation techniques to ensure robust and reliable data-driven solutions.
**Technical Leadership & Industry Insight**
+ Stay ahead of industry trends and technologies to inform strategic direction. Write extensible, maintainable code and cultivate expertise in debugging and development best practices.
**Strategic Collaboration & Customer Focus**
+ Define and align business and customer goals, explore new opportunities with cross-functional teams, and deliver pragmatic, data-aligned solutions that meet customer needs.
You will embody our culture ( and values ( .
**Qualifications**
**Required/minimum qualifications**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
+ 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
**Other Requirements**
+ Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Additional or preferred qualifications**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.  
+ Enjoy travel and are comfortable with travel up to 25%
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $34,700 per year.There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Data Science IC5 - The typical base pay range for this role across the U.S. is USD 139,900 - 274,800 per year.There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 188,000 - 304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications and processes offers for these roles on an ongoing basis.
#ISEngineering
#IPS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Sr Data Scientist - GD07AE
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.
The Hartford seeks a Senior Data Scientist Employee Benefits Data Science, AI, and Analytics (DSAIA) to develop machine learning and generative artificial intelligence solutions across a range of strategic initiatives.The Employee Benefits DSAIA team is a rapidly growing team focused on providing deep insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. The EB DSAIA team supports a portfolio across the EB lifecycle, from sales and underwriting to policy installation, renewal, and everything in between. In addition to our existing portfolio of Predictive AI assets, the team is scaling to expand an end-to-end (E2E), AI-driven reimagination of the EB underwriting and service organizations. Our E2E projects will include integrated, interactive solutions with a toolkit including generative AI, natural language processing, computer vision, and predictive machine learning techniques. We deliver value by partnering closely with enterprise enablement and other line of business data science teams to help build a consistent approach to architecture and practices across AI products while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability.As a Senior Data Scientist in the Employee Benefits DSAIA team, you will participate in the entire solution lifecycle. You'll partner with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest generative models, machine learning methods, MLOps deployment methods, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting-edge and forward-focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business value delivery.Responsibilities:
+ Create and use statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
+ Collaborate and partner with business stakeholders in a way that supports and sustains a culture that treats analytics as a corporate asset
+ Lead execution of generative AI, machine learning, and predictive modeling projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners
+ Support identifying and assessing the value of new analytical and generative techniques and solution patterns to ensure ongoing competitive advantage
+ Contribute to successful implementation of strategies to achieve targeted business objectives
+ Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
+ Remain current on research techniques and become familiar with state-of-the-art tools in generative AI
+ Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
+ Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows
Qualifications:
+ 5+ years of relevant industry experience recommended
+ Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field; or progress towards a relevant professional designation
+ Proficiency in statistical modeling, inference, and building machine learning algorithms in Python
+ Proficiency in SQL and navigating databases to extract relevant attributes
+ Proficiency in Unix and Git
+ Proficiency in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
+ Experience in leveraging generative artificial intelligence (e.g. large language models, image generation, or multimodal generative models) including model selection and tuning, prompt engineering, and performance evaluation
+ Experience building modeling solutions in cloud-native environments, such as SageMaker, a plus
+ Able to communicate effectively with both technical and non-technical teams
+ Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
+ Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
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).
Candidates 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:
$110,720 - $166,080
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.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice

Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! 
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.  
We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that can be reused to accelerate future challenges and contribute to the Microsoft platform.  
We are hiring a  **Senior and** **Principal Data Scientist** **s**  to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions, and identify patterns that can be reused to accelerate other customers. 
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.  
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 
**Responsibilities**
+ You will acquirethe data necessary for your project planand develop usabledata sets for modelling. You'll also update internal best practices for data collectionand preparation, and contribute to data integrity conversations with customers.
+ You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You'll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. 
+ You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You'll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. 
+ You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You'll also commit to a customer-oriented focus by acknowledging their needs, and offer customer pragmatic solutions that align with their data capabilities. 
+ You will identify and curate patterns and best practices to be reused to accelerate solutions to customer challenges across a range of scenarios.   
+ You will embody our culture ( andvalues ( .
**Qualifications**
**Required/Minimum Qualifications (RQs/MQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
+ 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
**Other Requirements**
+ Microsoft is unable to sponsor a work visa for this role due to the nature of the role's job duties.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Additional** **or Preferred Qualifications (PQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.  
+ Experience applying advanced data science techniques to Edge Computing, IoT, or Manufacturing environments. This includes designing and deploying machine learning models for real-time analytics on edge devices, developing predictive maintenance solutions using industrial systems data, or optimizing manufacturing processes through statistical modeling and AI. Familiarity with domain-specific data sources (e.g., sensor streams, historians, OT/IT integration), and hands-on work with stream data processing, digital twins, ontologies, or industrial data pipelines is highly valued.
+ Familiarity with AI concepts and the application of cutting-edge AI products to challenging customer projects.
+ Skilled use of Git Hub Co-Pilot grounded in a thorough understanding of software engineering and data science for efficient development of production code and data science pipelines.
+ Demonstrated domain knowledge and experience with GenAI technology and models.
+ Enjoy travel and are comfortable with travel up to 25%
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $34,700 per year.There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Data Science IC5 - The typical base pay range for this role across the U.S. is USD 139,900 - 274,800 per year.There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 188,000 - 304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications and processes offers for these roles on an ongoing basis.
#ISEngineering
#WSS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

**Our Mission** 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** 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. Indeed is the world's largest marketplace for jobs, and we have a unique dataset of jobs, resumes, applications, and outcomes. The Data Scientist I role partners closely with business partners across various functions to help execute strategic initiatives that increase revenue, drive operational scale, and improve efficiency for continuous growth. As a Data Scientist, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source packages and research publications, and creatively adapt models for solving business problems across Indeed. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner 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 Mathematics, Statistics, Computer Science, or a related field + 3+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams and using LLMs + A deep understanding of machine learning, statistical modeling, and predictive analytics. + 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 marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization **Salary Range Transparency** US Remote 122,000 - 178,000 USD per year Austin, Metro Area 122,000 - 178,000 USD per year New York City, Metro Area 146,000 - 212,000 USD per year Seattle, Metro Area 134,000 - 194,000 USD per year San Francisco, Metro Area 155,000 - 225,000 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 **Equal Opportunities and Accommodations Statement** **Equal 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 ( **Inclusion & 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** **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:** <46201> Reference ID: 46201

**Our Mission**
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 Senior Marketing Data Scientist 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**
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing.
+ Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams.
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Partner 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
+ 7+ years of experience in data science, analytics, Machine Learning or a related field
+ Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams
+ A deep understanding of machine learning, statistical modelling, and predictive analytics.
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth
+ Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization
+ Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)
**Salary Range Transparency**
US Remote 154,000 - 224,000 USD per year
Austin Metro Area 154,000 - 224,000 USD per year
NYC Metro Area 171,000 - 247,000 USD per year
Seattle Metro Area 164,000 - 239,000 USD per year
San Francisco Bay Area 180,000 - 260,000 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:** **46205**
**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: 46205

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what's next. Let's define tomorrow, together.
**Description**
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
**Job overview and responsibilities**
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions
+ Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages
+ Identifies, researches, or solves large complex problems using big data and operations research and machine learning principles
+ Leverages understanding of the business process to identify and implement operations research solutions that will result in significant bottom-line contributions
+ Builds and develops operations research/optimization mathematical model applications, and provides client support leveraging operations research knowledge
+ Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
+ Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
+ Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
+ Anticipates working team questions to data and approach
+ Identifies solution quality risks and on-time risks
+ Understands the business value, process, and expectations before focusing on choice of a technical solution
+ Understands the intuition behind the numbers (i.e. does it make sense?)
+ Provides on-going analytical services to client organizations
+ Communicates results to management and clients
+ Contributes deck content and builds the story for the deck with guidance to summarize findings
+ Develops and delivers presentations aligned with Ai standards
+ Speaks in a manner appropriate for working team and their level +1
+ Keeps informed about the latest analytical methods and research in the operations research and analytics fields
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Masters in Operations Research or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles
+ Coursework or work experience with mathematical programming techniques
+ Coursework or work experience in model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL
+ Coursework or work experience with C, C++, Java, R, Python, or other structured programming language
+ Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
+ Good interpersonal skills and ability to interact with clients
+ Proficient with MS Office
+ Successful completion of interview required to meet job qualifications
+ Must be legally authorized to work in the United States for any employer without sponsorship
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Minor in computer science and/or formal advanced computer science coursework preferred
+ 1+ years of professional experience in analytical field
+ 1+ years designing and programming/coding data structures for large-scale computer models
+ Experience with Julia programming language
+ Knowledge of United/industry data sources
+ Structured programming for large-scale computer models
+ Demonstrated ability to create business value
The base pay range for this role is $91,770.00 to $119,514.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact to request accommodation.

**Job Description**
Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Research Computing
**Work Type:** Full Time (Total FTE between 0.9 and 1.0) Remote
**Shift:** Shift 1
**Work Schedule:** 8 Hr (8:00:00 AM - 5:00:00 PM)
Rush offers exceptional rewards and benefits learn more at our Rush benefits page ( Range:** $38.07 - $56.73 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush's anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
**Summary:**
This role plays a key part in designing, deploying, and managing AI-driven solutions that transform complex data into actionable insights-enhancing decision-making, operational efficiency, and clinical outcomes.
We are seeking a highly skilled and innovative Data Scientist to join our team This role is responsible for transforming complex data into actionable insights that support strategic, operational, and clinical decision-making. The ideal candidate will have a strong foundation in data science, machine learning, and data visualization, with a proven ability to collaborate across multidisciplinary teams.
**Other information:**
Required Qualifications
- Bachelors degree in Data Science, Computer Science, Engineering, Biomedical Informatics, or a related field
- Proficiency in Python for data analysis, machine learning, and automation.
- Minimum of 2-3 years of experience delivering analytics or AI solutions with measurable impact
- Strong communication skills with the ability to translate complex data into clear, actionable insights.
Preferred Qualifications
- Experience with cloud-based AI platforms such as Microsoft Azure AI Foundry.
- Proficiency in data visualization tools such as Microsoft Power BI.
- Familiarity with modern analytics platforms (e.g., Microsoft Fabric).
- Experience working with electronic health records (EHR) systems such as Epic.
- Knowledge of R for statistical modeling and healthcare analytics.
- Exposure to agentic AI architectures (e.g., LLM-based agents, Semantic Kernel, LangChain).
- Relevant certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate).
Core Competencies
- Analytical thinking and problem-solving
- Technical proficiency in data science tools and platforms
- Effective communication and storytelling with data
- Collaboration and stakeholder engagement
- Ethical and compliant use of data and AI technologies
**Responsibilities:**
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Build and maintain data pipelines and analytics workflows, ensuring scalability and performance.
- Develop dashboards, reports, and visualizations to communicate findings to technical and non-technical stakeholders.
- Collaborate with cross-functional teams to integrate AI solutions into operational and decision-making processes.
- Conduct ROI analyses and establish KPIs to measure the impact of analytics
- Ensure compliance with data governance, privacy regulations, and ethical practices.
- Provide training and documentation to support the adoption and understanding of analytics tools and models.
- Participate in the lifecycle management of analytical models, including monitoring, retraining, and performance evaluation.
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
**Position** Data Scientist AI Solutions
**Location** US:IL:Chicago
**Req ID** 21034

Job Description
The Lead Data Scientist/Engineer plays a pivotal role in supporting the Medicare Clinical Stars program by providing technical expertise in data engineering, particularly focusing on Google Cloud Platform (GCP) and Hadoop ecosystems. This role involves working within a team of data engineers, acting as a liaison between the Data Intelligence group and the Clinical Stars Data Science group, and providing technical support to enable data-driven insights for clinical stars initiatives.
The Lead Data Engineer collaborates closely with data scientists, engineers, and stakeholders to design, develop, and maintain scalable data pipelines, analytics solutions, and machine learning models that drive improvements in Medicare clinical outcomes.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Skills and Requirements
Bachelors Degree
Extensive experience in data engineering, with a focus on designing, developing, and maintaining data pipelines and analytics solutions using GCP and Hadoop technologies
Strong expertise in Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, Dataproc, and related data processing and storage technologies
Ability to build data pipelines from scratch
Ability to lead initiatives through completion Experience working in healthcare or health insurance domains, with knowledge of Medicare programs and clinical quality measures (e.g., HEDIS, STAR ratings)