Data Scientist
Otis
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2,452 open scientist roles across 382 companies are on ApplySarthi right now, most of them in Bengaluru (137), Hyderabad (74), Delhi NCR (28).
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What scientist roles keep asking for: Python (64%), Machine learning (50%), SQL (31%), LLMs (19%), Deep learning (18%), R (18%), C++ (18%), AWS (17%) — counted across their open postings here.
Data Scientist jobs in China · Remote Data Scientist jobs · Azure jobs · Databricks jobs · Generative AI jobs · LLMs jobs
Otis has 1,379 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. Practise those questions before you sit with Otis.
Questions you are likely to be asked
- Why do you want to join Otis?
- What is your experience with Git? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- 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.
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Practise the Data Scientist at Otis interview free →Date Posted: 2026-11-04 Country: China Location: LOC3344: 7-8/F, Building N1, Fusion New Bund, No. 8, Lane 131, New Bund Avenue, Pudong, Shanghai, China Job Title: Data Scientist – Predictive Modeling & Generative AI Job Description We are seeking a highly skilled and proactive Data Scientist to join our Data Science & Analytics team. This role focuses on building predictive models, exploring generative AI applications, and delivering data-driven solutions to support operational and business needs. The ideal candidate will have strong technical expertise, excellent communication skills, and a passion for innovation. Responsibilities Lead and contribute to predictive modeling projects, including data quality verification, exploratory data analysis, rule engine development, ML model training, and performance optimization. Explore and apply generative AI technologies, including multimodal large models and large language models (LLMs), to solve real-world problems such as compliance assessment and failure mode classification. Design and implement data reporting solutions tailored to operational and site-specific business requirements. Collaborate cross-functionally with QA, business stakeholders, other DT teams, and engineering teams to ensure timely and high-quality delivery. Document development processes and design decisions in English and maintain version control using Git. Experience / Qualifications Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, or related field. Minimum 5 years of experience in data science, machine learning, or AI-related roles. Proficient in Python and Spark, with hands-on experience in libraries such as Pandas, Scikit-learn, PySpark, and Spark MLlib. Experience with Databricks for managing ML experiments, building LLM services, and performing model fine-tuning. Solid understanding of statistical analysis, feature engineering, and prompt engineering. Familiar with Python unit testing frameworks such as Pytest and UnitTest. Strong SQL skills and understanding of database performance optimization. Experience with Web APIs, with attention to performance and security. Familiar with Git for branch and version control. Excellent communication skills and ability to write and read English technical documentation. Experience contributing to open-source projects or participating in community discussions is a plus. Knowledge of Azure Cloud is preferred. 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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Listed on workday · posted 2026-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Otis, not by us.