81 Data Scientist jobs 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.
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Our client is seeking an innovative Lead Data Scientist to drive advancements in mining analytics. This is a fully remote position, empowering you to leverage your expertise from anywhere. You will be at the forefront of applying advanced data science techniques to unlock insights from vast datasets generated within the mining industry. Your primary focus will be on developing predictive models, optimizing operational processes, and enhancing decision-making across exploration, extraction, and processing. Responsibilities include designing and implementing machine learning algorithms, statistical modeling, and data visualization tools to identify trends, forecast outcomes, and detect anomalies. You will collaborate with geologists, engineers, and operations managers to translate complex data into actionable business strategies. The ideal candidate will possess a strong background in statistical analysis, machine learning, programming (e.g., Python, R), and big data technologies. Experience with cloud platforms (AWS, Azure, GCP) and big data frameworks (e.g., Spark) is highly desirable. You will lead a team of data scientists, guiding their research, mentoring their development, and ensuring the quality and impact of their work. Proven ability to communicate complex findings clearly and effectively to both technical and non-technical audiences is crucial. This role demands a creative problem-solver with a passion for innovation and a deep understanding of the challenges and opportunities within the mining sector. You will play a key role in transforming raw data into strategic advantages, driving efficiency, safety, and sustainability in our operations. Join a forward-thinking organization and shape the future of data-driven decision-making in mining.

Job Description
We are seeking a highly skilled and motivated Principal Data Scientist in our Medicare Stars Clinical Data Science Team. In this role, you will be responsible for developing complex machine learning models in a Hadoop and Google Cloud Platform (GCP) environment to improve the quality of our Medicare Stars program. As the Principal Data Scientist, you will lead a team of data scientists and machine learning experts to develop innovative solutions that drive improvements in healthcare quality measures and performance metrics. You will collaborate closely with cross-functional teams, including data engineers, domain experts, and business stakeholders, to understand requirements, define objectives, and deliver actionable insights.
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
Extensive experience (5+ years) in developing and deploying machine learning models in a production environment, preferably in healthcare or related industries.
Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks such as TensorFlow, scikit-learn, or PyTorch.
Strong knowledge of cloud computing platforms, particularly Google Cloud Platform (GCP), and experience with relevant GCP services (e.g., BigQuery, Dataflow, AI Platform). Masters or Doctorate
Expertise in optimizing and scaling big data processing frameworks. Mastery in working with NoSQL and GCP databases for handling unstructured and semi-structured data.
Expertise in implementing MLOps practices for efficient model deployment and monitoring in the GCP environment.
Expertise in integrating machine learning models with existing systems through APIs in the GCP environment.

Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok ( .
Job Description
Purpose:
A team of data scientists with a unique blend of Business, Scientific, and Machine Learning expertise who seek to: Unleash the full potential of AbbVie's data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data analytics solutions.
Broaden the scope and impact of Analytics and Data Science by constantly exploring new opportunities to transform clinical development and R&D.
Collaborate with stakeholders to outline the problem, explore solutions, refine opportunities and deliver a product with a continuous innovation mindset"
Responsibilities:
+ Works side by side with internal and cross-functional teams as an analytics consultant to strategize on how to define value and impact measurement for products and solutions.
+ Identifies business needs and supports the creation of standard KPIs, reports, and statistical analyses
+ Uses advanced data science capabilities to measure impact and data-driven insights by running simulations, conducting A/B testing, using time series, and more.
+ Strong storytelling and presentation skills
+ Responsible for coaching and mentoring junior team members.
+ Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
Qualifications
*This position will be required to sit on-site 3 days / week*
Qualifications:
+ Bachelor's degree statistics, analytics, bioinformatics, data science or equivalent field. Master's degree preferred
+ Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
+ Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
+ Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
+ Proven expertise with Machine Learning and other advanced analytics techniques
+ Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman's terms
+ Demonstrated problem-solving and analytical skills
+ Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
+ Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
+ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
+ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
+ This job is eligible to participate in our short-term incentive programs.
+ This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
$106,500 - $202,500

Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok ( .
Job Description
Come to work each day with an inclusive and collaborative Business technology team! As an Data Scientist in AbbVie Business Technology Solutions (BTS), you'll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
***This is a hybrid role based in Lake County, IL***
Purpose
We are looking for a Data Scientist with entry-level analytics experience, preferably in an operations business which includes one or more Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology.
The Data Scientist will assist in exploratory data analysis, explanatory data analysis, execution of analysis plans, develop predictive models using statistical and machine-learning methodologies with complex modeling techniques in collaboration with more senior team members and communicate insights to the team.
Responsibilities
+ Assist the team with the analysis of business requirements and developing solution recommendations which anticipate the future impact of changing business requirements.
+ Participate in the design and development of processes and systems to consolidate and analyze data. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream).
+ Participate in the development in advanced analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, and predictive modeling.
+ In collaboration with more senior team members, we generate reports with findings and help to communicate these effectively via written, oral and visual Dashboard methods.
Qualifications
Required:
+ Bachelor's Degree equivalent education plus 5 years of experience, Master's Degree or equivalent education plus 4 years of experience.
+ Minimum undergraduate knowledge of statistical and machine learning methods, with knowledge in modeling and business analytics.
+ Academic experience (at minimum) with statistical languages and packages, such as R, Python etc. Expectation is solid skill in at least one of of python or R.
+ Academic experience (at minimum) in enhancing the data collection process by consolidating data, standardizing, optimization and perform exploratory data analysis before used on ML model - such as capstone projects.
+ Academic experience (at minimum) working with modern relational databases and/or distributed computing platforms Big Data, and their query interfaces, such as SQL, Spark, PySpark and Hive.
+ Academic experience (at minimum) using visualization techniques for presenting data and analysis as dashboard in tools such as R/Shiny, GGPlot, Tableau, Qlik and Custom web-based solutions.
+ Familiarity with Amazon Web Services, Apache Spark, NumPy, TensorFlow etc. is a plus.
+ Excellent written and verbal communications skills are required.
+ Comfortable working in a fast paced, highly collaborative, dynamic work environment
+ Able to come onsite 3 days a week.
Nice to Have:
+ Background in life sciences or work experience in the pharmaceutical industry
+ Knowledge of Agile Project management processes
+ Knowledge of devops processes
+ Experiences in Personalization, Search, Deep Learning, Operations Research
+ Working experience of OS Linux/Unix
+ NLP, Data mining, text mining etc.
+ Working knowledge of Data Science tools like Dataiku, AWS SageMaker etc.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

+ The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. Salary: $82,500-$57,500
+ We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
+ This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
$8 ,500 - 157,500

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.
**Job Description**
**Data Scientist Associate**
**_OBJECTIVES/PURPOSE_**
We are seeking skilled, proactive and motivational Data Scientist who have good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the PDT DD&T (Plasma Derived Therapies Digital, Data & Technology) team, you will leverage advanced analytics to deliver data-driven solutions and insights that drive impactful business outcomes. Collaborating with cross-functional teams including R&D, Pricing, Marketing, Forecasting, you will analyze datasets, build predictive models, deploy and operationalize solutions to enhance organizational performance. Working closely with fellow data scientists on the team, as well as other team members from the Enterprise Data Science Community of Practice to advance best practices and knowledge sharing.
You will report directly to the Data Science Lead, who will provide strategic direction.
**How you will contribute:**
+ Assist Data Science team members in addressing complex problems, conducting data analysis, and developing cutting-edge analytics solutions tailored to business needs.
+ Translate business processes and requirements into actionable solutions by thoroughly understanding analytics drivers and data to be modeled, applying the most suitable quantitative techniques to solve challenges effectively.
+ Design, develop, deploy, and operationalize advanced statistical methods, data science techniques, and Artificial Intelligence (AI/ML) solutions to enhance and optimize business operations.
+ Monitor, evaluate, and refine data, analytics models, and experiments periodically to validate hypotheses, ensuring alignment with evolving business goals and continued delivery of value.
+ Collaborate closely with cross-functional teams to embed data-driven insights into business strategies, processes, and operations, fostering data-centric decision-making across the organization.
+ Guarantee the seamless, efficient, and timely delivery of statistical, data science, and AI/ML solutions, ensuring they meet high-quality standards and drive measurable impact.
**_ACCOUNTABILITIES_**
+ Design, develop, and implement decision-support solutions leveraging advanced statistical methodologies, data science/machine learning (ML), and a variety of quantitative techniques (e.g., simulations, mathematical modeling, etc.) to address complex business challenges effectively.
+ Create and maintain code and processes that enable the operationalization of data-driven solutions, seamlessly aligning with the daily operational needs of the business.
+ Acquire a comprehensive understanding of data sources and structures. Collaborate with the IT development team to strategize, design, and establish processes for data collection, ingestion, and delivery, along with developing optimal data models to fulfill analytical requirements.
+ Engage with business stakeholders to identify pain points, articulate problem statements, define scope, and build data analytics business cases. Propose and develop tailored solutions underpinned by strategic data modeling and state-of-the-art data science techniques.
+ Work closely with cross-functional teams, including GenAI/Agentic AI developers, to embed data-driven insights into business workflows and decision-making processes, harnessing AI-BI capabilities for enhanced operational efficiency.
+ Provide analytical insights to support business solution development and implementation, influencing solution design and driving improved customer experiences.
+ Design and deliver comprehensive analytics solutions by adhering to the complete lifecycle of statistical and AI/ML processes, ensuring the timely production of high-quality, impactful deliverables.
Collaborate in defining requirements and lead/workshops and prototyping sessions to align stakeholders on solution objectives and vision.
**_DIMENSIONS AND ASPECTS_**
**Technical/Functional (Line) Expertise**
+ Solid understanding of current and emerging AI/Advanced Analytics technologies. Expertise in the areas of Data, Data Modeling, Statistical Methods, Quantitative Techniques, and AI/ML preferred.
+ Familiarity with Analytics processes and service models.
**Leadership**
+ Strong business acumen with knowledge of healthcare and retail operations.
+ Provide guidance to junior team members and novice business users.
+ Strong collaborating skills and experience in people management and skills development.
**Decision-making and Autonomy**
+ Proven track record of making the right decision to resolve issues and obstacles.
+ Self-motivated and self-directed in driving results and deliverables.
**Interaction**
+ Demonstrated success in the areas of global business and IT relationship, vendor management, and governance.
**Innovation**
+ Leverage advanced technologies such as AI/ML and effective statistical models to drive business results.
+ Harvest enterprise analytics platforms and tooling to support BI solutions.
**Complexity**
+ Supporting PDT Functions in Americas, and Europe.
+ High multicultural sensitivity in order to be effective.
+ Ability to achieve results through remote collaboration.
**_EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:_**
+ Bachelors' Degree, from an accredited institution in Data Science, Statistics, Applied Mathematics, Physics, or other quantitative fields (master's degree preferred).
+ Minimum of 1 - 3 years of solid experience in statistics, quantitative methods (e.g. math modelling, simulation, etc.) and AI/ML/Data science experience in Life Sciences, Pharma, Biotech, technology companies or relevant regulated industries.
+ Solid understanding of applied statistical and math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing.
+ In depth experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks.
+ Experience in a matrix organization collaborating with different teams including data engineering, enterprise architecture, platform architecture, and other application teams.
+ Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams.
**WHAT TAKEDA CAN OFFER YOU:**
- 401(k) with company match and Annual Retirement Contribution Plan
- Tuition reimbursement Company match of charitable contributions
- Health & Wellness programs including onsite flu shots and health screenings
- Generous time off for vacation and the option to purchase additional vacation days
- Community Outreach Programs
Empowering Our People to Shine Discover more at takedajobs.com
No Phone Calls or Recruiters Please.
This job posting excludes Colorado applicants.
**Takeda Compensation and Benefits Summary**
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
**For Location:**
Bannockburn, IL
**U.S. Base Salary Range:**
$99,500.00 - $156,420.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
**EEO Statement**
_Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law._
**Locations**
Bannockburn, ILBoston, MA
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
**Job Exempt**
Yes

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 Sr. Data Scientist within Personal Insurance to develop machine learning and artificial intelligence solutions across a range of strategic initiatives.
As a Sr. Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps , 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 data delivery.
Responsibilities:
+ Create 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 the vision and sustains a culture that treats analytics as a corporate asset
+ Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists , Data Engineers , and Product Owners
+ Assist in identifying and assessing the value of new data sources and analytical techniques 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 applicable to your function
+ 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  
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).
Qualifications:
+ 5+ years of relevant 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 building modeling solutions in cloud-native environment s , 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
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:
$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 ( Notice ( StatementProducer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice (

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.
**Job Description**
**Sr. Data Scientist**
**Bannockburn, IL or Cambridge, MA**
**_OBJECTIVES/PURPOSE_**
We are seeking a skilled, proactive and motivated Sr. Data Scientist with good hands-on experience in data wrangling, transformations, building data-driven insights and statistical models. As part of the Plasma Derived Therapies Data, Digital & Technology (PDT DD&T) team, you will leverage advanced analytics to deliver data-driven solutions and insights that drive impactful business outcomes. Collaborating with cross-functional teams including Pricing, Marketing, and Forecasting, you will analyze data sets, build predictive models, deploy and operationalize solutions to enhance organizational performance. You will be working closely with fellow data scientists on the team, as well as other team members from the Enterprise Data Science Community of Practice to advance best practices and knowledge sharing.
You will report directly to the Data Science Lead, who will provide strategic direction.
**How you will contribute:**
+ Support the Data Science Lead and team members in solving problems, analyzing data and developing advanced analytics solutions.
+ Translate business processes and requirements into solutions. Understand the analytics drivers and data to be modelled and apply the appropriate quantitative techniques to solve problems.
+ Design, develop, deploy and operationalize advanced statistics, data science and Artificial Intelligence (AI/ML) solutions supporting business operations.
+ Evaluate the data, analytics models and experiments periodically to validate hypothesis, ensuring it continues to provide business value as requirements and objectives evolve.
+ Collaborate with cross-functional teams to integrate data-driven insights into business strategies and operations
+ Ensure smooth, successful and timely delivery of statistical/data science solutions and AI/ML products.
**_ACCOUNTABILITIES_**
+ Design, develop, and operationalize decision support solutions using advanced statistical methods, data science/ML, and other quantitative techniques (e.g. simulation, math modeling, etc.) solving complex business problems.
+ Provide the thought leadership in the design of experiments (including A/B Testing) and assist business in executing analytics solutions and strategies as well as performance metrics.
+ Understand data and sources of data. Strategize with the IT development team and develop a process to collect, ingest, and deliver data along with proper data models for analytical needs.
+ Interacts with business users to define pain points, problem statement, scope, and analytics business case. Develop solutions with recommended data model and data science techniques.
+ Collaborate with cross-functional teams to integrate data-driven insights into business operations and decision process.
+ Support business solutions and implementation by providing required analytical insights that help shape the solutions design and improve customer experience.
+ Develop analytics solutions following the lifecycle of statistical and AI/ML processes ensuring successful and timely delivery of high quality solutions.
+ Present data-driven insights and strategic recommendations to senior management and key stakeholders.
+ Assist in defining requirements and facilitate workshops and prototyping sessions.
**_DIMENSIONS AND ASPECTS_**
**Technical/Functional (Line) Expertise**
+ Solid understanding of current and emerging AI/Advanced Analytics technologies. Expertise in the areas of Data, Data Modeling, Statistical Methods, Quantitative Techniques, and AI/ML preferred.
+ Familiarity with Analytics processes and service models.
**Leadership**
+ Strong business acumen with knowledge of health care and retail operations.
+ Provide guidance to junior team members and novice business users.
+ Strong collaborating skills and experience in people management and skills development.
**Decision-making and Autonomy**
+ Proven track record of making the right decision to resolve issues and obstacles.
+ Self-motivated and self-directed in driving results and deliverables.
**Interaction**
+ Demonstrated success in the areas of global business and IT relationship, vendor management, and governance.
**Innovation**
+ Leverage advanced technologies such as AI/ML and effective statistical models to drive business results.
+ Harvest enterprise analytics platforms and tooling to support BI solutions.
**Complexity**
+ Supporting PDT Functions in Americas, and Europe.
+ High multicultural sensitivity in order to be effective.
+ Ability to achieve results through remote collaboration.
**EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:**
+ A Master's degree preferred with ~5+ years' experience or Bachelors' Degree with ~7 years of experience from an accredited institution in Data Science, Statistics, Applied Mathematics, Physics, or other quantitative fields.
+ 5+ years of solid experience in statistics, quantitative methods (e.g. math modelling, simulation, etc.) and AI/ML/Data science experience in Life Sciences, Pharma, Biotech, technology companies or relevant regulated industries.
+ Solid understanding of applied statistical and math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing.
+ In depth experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks.
+ Experience in a matrix organization collaborating with different teams including data engineering, enterprise architecture, platform architecture, and other application teams.
+ Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams. Demonstrated aptitude for collaboration with other strategic partners.
**WHAT TAKEDA CAN OFFER YOU:**
- 401(k) with company match and Annual Retirement Contribution Plan
- Tuition reimbursement Company match of charitable contributions
- Health & Wellness programs including onsite flu shots and health screenings
- Generous time off for vacation and the option to purchase additional vacation days
- Community Outreach Programs
Empowering Our People to Shine Discover more at takedajobs.com
No Phone Calls or Recruiters Please.
This job posting excludes Colorado applicants.
**Takeda Compensation and Benefits Summary**
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
**For Location:**
Bannockburn, IL
**U.S. Base Salary Range:**
$137,000.00 - $215,270.00
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
**EEO Statement**
_Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law._
**Locations**
Bannockburn, ILBoston, MA
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
**Job Exempt**
Yes

Our client, a prominent financial technology firm, is seeking a highly accomplished Lead Data Scientist to join their cutting-edge analytics team in **Chicago, Illinois, US**. This is a critical, on-site role where you will lead a team of talented data scientists in developing and deploying advanced analytical models that drive business strategy and innovation. You will be responsible for identifying business challenges that can be addressed with data science solutions, designing and implementing complex machine learning algorithms, and translating analytical findings into actionable insights for stakeholders. Your responsibilities will include overseeing the entire data science lifecycle, from data acquisition and cleaning to model development, validation, and production deployment. You will mentor junior team members, foster a culture of innovation, and collaborate closely with engineering, product management, and business development teams. Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and data mining is paramount. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and SQL databases are required. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. The ideal candidate will hold a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a minimum of 8 years of hands-on experience in data science, including at least 3 years in a leadership or supervisory role. Excellent communication and presentation skills are essential for effectively conveying complex technical concepts to non-technical audiences. This is a unique opportunity to lead impactful projects in a fast-paced, data-driven environment and shape the future of financial technology.