[Hiring] Data Science & Analytics – Early Career Digital Technology Rising Leaders Program @Otis Elevator Co.

Role Description

Join a 24-month early-career rotational program within Digital Technology and apply the data science and analytics skills you have been learning in school to solve meaningful business challenges. As part of a cohort, you will complete three eight-month assignments that provide hands-on experience with data analysis, machine learning, generative artificial intelligence, business intelligence, and complementary Digital Technology functions. You will work 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.

On a typical day you will:

• 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 your work.
• Apply data-driven insights to strategic initiatives that improve long-term business performance.

Qualifications

• A bachelor’s degree in data science, business/data analytics, operations research, statistics, computer science, mathematics, or a related field is required, which must be completed by June 2027.

Requirements

• Ability to understand business processes and translate business problems into clear technical solutions.
• Proficiency in Python and working knowledge of structured query language (SQL), database concepts, and common data or AI libraries, demonstrated through academic projects, internships, research, or related experience.
• 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 through applied experience.
• Experience using data visualization or business intelligence tools to create clear, audience-appropriate reports and dashboards.
• 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

• Build your career through structured rotations, mentorship, formal professional development, and exposure to leaders across the organization.
• 401(k) plan that includes generous company match and a separate automatic retirement contribution.
• Comprehensive medical, prescription drug, dental and vision coverage for colleagues and their eligible dependents, beginning on their first day of employment.
• 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.
• The salary range for this role is $70,000 to $80,000.