Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Analytics Leadership Development Program at The Cigna Group develops future analytics leaders through rotations and hands-on projects. Focus on AI, data science, and machine learning in healthcare.
Responsibilities
- The ALDP seeks to develop future analytics leaders for The Cigna Group and Evernorth.
- This is a great opportunity for recent graduates or those early in their careers who are excited to apply their academic knowledge in analytics, data science and AI.
- Associates are able to focus on key data, machine learning, and analytical competencies during the 4–5 year program.
- Possible full-time projects include, but are not limited to: Building predictive models to identify high-need customers for one of The Cigna Group's clinical programs using machine learning techniques.
- Leveraging clustering algorithms and AI-driven segmentation to enable personalization in customer communication and outreach.
- Apply natural language processing (NLP), and other advanced analytical capabilities, to analyze unstructured data such as customer feedback or clinical notes.
- Exploration of generative AI applications to automate insights generation and enhance decision-making.
Requirements
- Master’s degree in a quantitative field, such as data science, statistics, business analytics, mathematics, or related major
- Strong analytical and strategic thinking skills
- Strong motivation to apply responsible and ethical AI practices to real-world business challenges
- Strong motivation for leadership (e.g., demonstrated through extracurricular work or relevant certifications)
- Takes ownership of work in which they are assigned
- Demonstrated motivation and ability to creatively solve problems and identify novel solutions to enhance productivity and modernize existing practices
- Demonstrated coursework or real-world application of analytical and AI methods, including but not limited to: writing code (e.g., Python, R, Java, Julia, SAS), using developer tools such as GitHub Copilot, developing models (e.g., regression, decision trees, deep learning, or generative AI techniques), and/or evaluating outcomes using statistical techniques (e.g., matched case-control studies, A/B testing)
- Follows best programming practices and writes clean, documented, and well-structured code
- Experience in Microsoft Excel and data visualization tools (e.g., Tableau, Qlik, Power BI) and PowerPoint a plus
- Experience with relational databases and SQL
- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) a plus
- Excellent oral and written communication skills, across a variety of technical and non-technical audiences
- Ability to collaborate with other technical colleagues to understand goals/priorities and to identify roadblocks/solutions
- 3.2+ GPA strongly preferred
Benefits
- medical, vision, dental, and well-being and behavioral health programs
- 401(k) with company match
- company paid life insurance
- tuition reimbursement
- a minimum of 18 days of paid time off per year
- paid holidays
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