Data Science & Analytics – Early Career Digital Technology Rising Leaders Program
Otis
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Questions you are likely to be asked
- Why do you want to join Otis?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Data Science & Analytics – Early Career Digital Technology Rising Leaders Program at Otis interview free →Date Posted: 2026-10-22 Country: United States of America Location: OTCTH: Connecticut Home Offices Remote Location, Remote City, CT, 06032 USA Job Title: Data Science & Analytics – Early Career Digital Technology Rising Leaders Program Location: Remote (U.S.) work is available for candidates working in the Eastern or Central time zones, with onsite opportunities also available in Connecticut Job Type: Full-Time, Entry-Level Relocation assistance is not available for this position Role Overview: 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. Undefined Education : 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. What You Will Need to Be Successful: 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. Undefined Benefits and Growth Opportunities: Build your career through structured rotations, mentorship, formal professional development, and exposure to leaders across the organization. Subject to eligibility and local plans and policies, employees may also have access to health, dental, and vision coverage; a retirement savings plan with company contributions; educational support; and paid time off. Otis currently provides our colleagues with the following benefits: 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. We may ultimately pay more or less than the posted range, and the range may change in the future. Pay within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. Apply today to join us and build what’s next! If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day. Otis is the world’s leading elevator and escalator manufacturing, installation, and service company. We move 2.4 billion people every day and maintain approximately 2.4 million customer units worldwide, the industry's largest Service portfolio. You may recognize our products in some of the world’s most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 72,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company. When you join Otis, you become part of an innovative global industry leader with a resilient business model. You’ll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you’ll gain working alongside the best and brightest, keep us connected and on the cutting edge. We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs. Today, our focus more than ever is on people. As a global, people-powered company, we put people – passengers, customers, and colleagues – at the center of everything we do. We are guided by our values that we call our Three Absolutes – prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here . Become a part of the Otis team and help us #Buildwhatsnext! Otis is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at careers@otis.com. Privacy Policy and Terms: Click on this link to read the Policy and Terms
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