Data Science & Analytics

About the Role

Join a 24-month early-career rotational program within Digital Technology. Apply data science and analytics skills to solve business challenges. Work as part of a cohort completing three eight-month assignments providing hands-on experience with data analysis, machine learning, generative artificial intelligence, business intelligence, and complementary Digital Technology functions. Collaborate with experienced data professionals, business partners, mentors, and program leaders. The program combines meaningful assignments, structured development, and a pathway toward a permanent role on the Data Science & Analytics team.

Key Responsibilities

• Contribute to projects across three eight-month assignments in complementary Digital Technology functions, applying Data Science & Analytics skills to business priorities and building experience across the organization.
• Support the development and evaluation of machine learning, statistical, optimization, and other data science solutions that address defined business needs.
• Analyze structured and unstructured datasets using statistical, machine learning, and AI-assisted methods to identify patterns, generate insights, and support informed decisions.
• Collaborate with business and technology teams to translate challenges into practical data and AI solutions, evaluate solution quality and business value, and integrate successful approaches into products, services, and operations.
• Partner with rotation managers and mentors to strengthen technical expertise, leadership capabilities, and cross-functional relationships.
• Communicate findings, recommendations, progress, lessons learned, and business impact to colleagues, stakeholders, and program leaders, incorporating feedback to strengthen work.
• Apply data-driven insights to strategic initiatives that improve long-term business performance.

Requirements & Tech Stack

• Proficiency in Python.
• Working knowledge of structured query language (SQL), database concepts.
• Familiarity with common data or AI libraries.
• Experience using data visualization or business intelligence tools.

Qualifications

• A bachelor’s degree in data science, business/data analytics, operations research, statistics, computer science, mathematics, or a related field, to be completed by June 2027.
• Ability to understand business processes and translate business problems into clear technical solutions.
• Experience preparing, cleaning, validating, and transforming data for analysis, identifying quality issues, and documenting assumptions.
• Foundational knowledge of machine learning, statistical modeling, optimization, generative artificial intelligence, or other data science methods and tools, with an interest in developing these skills.
• Awareness of responsible data and artificial intelligence practices, including privacy, security, bias, model validation, explainability, human oversight, and ethical use.
• Strong analytical, problem-solving, teamwork, and communication skills, with the ability to explain methods, findings, limitations, and recommendations to technical and nontechnical audiences.
• Ability to organize work, document methods and results, incorporate feedback, and deliver high-quality solutions on time.
• Ability to learn quickly, adapt to new assignments, and contribute effectively in a fast-paced rotational environment.

Benefits and Growth Opportunities

• Build career through structured rotations, mentorship, formal professional development, and exposure to leaders across the organization.
• 401(k) plan with company match and automatic contribution.
• Comprehensive medical, prescription drug, dental, and vision coverage.
• Three weeks paid vacation and paid company holidays.
• Paid sick leave.
• Employee assistance and wellness incentive programs.
• Life insurance and disability coverage.
• Voluntary benefits, such as legal, pet, home, and auto insurance.
• Birth/adoption and parental leave benefits.
• Adoption assistance.
• Tuition reimbursement program.
• Peer recognition and service anniversary awards, as well as spot performance bonus opportunities.

Salary Range: $70,000 - $80,000