Staff Data Scientist

Date Posted:

2026-01-14

Country:

China

Location:

LOC3344: 7-8/F, Building N1, Fusion New Bund, No. 8, Lane 131, New Bund Avenue, Pudong, Shanghai, China

Job Title: Staff Data Scientist – Generative AI, Predictive Analytics & IoT

Role Overview:

We are seeking a highly experienced and independent Staff Data Scientist to join our Data Science & Analytics team. This role focuses on leading generative AI initiatives, building predictive models for industrial IoT applications, and delivering end-to-end data-driven solutions to support operational excellence. The ideal candidate will have 8+ years of experience, strong technical depth across GenAI/LLM, machine learning, and IoT analytics, with proven ability to independently drive projects from conception to production.

On a typical day you will:

Generative AI & LLM Applications

· Lead the design and implementation of GenAI/LLM solutions for industrial use cases, including:

o Compliance document Q&A and automated assessment systems

o Failure mode classification and root cause analysis from unstructured data

o Multimodal AI applications combining vision and language models for defect detection and reporting

· Develop and optimize prompt engineering strategies and RAG (Retrieval-Augmented Generation) pipelines for production deployment

· Fine-tune and deploy large language models using Azure OpenAI, Databricks, or open-source LLMs (e.g., Llama, Mistral)

· Evaluate and integrate emerging GenAI technologies to solve real-world business problems

Predictive Modeling & Machine Learning

· Build and deploy predictive models for industrial scenarios such as predictive maintenance, quality prediction, and yield optimization

· Lead end-to-end ML workflows including data quality verification, exploratory data analysis, feature engineering, model training, and performance optimization

· Develop rule engines and hybrid AI systems combining traditional ML with business logic

Industrial IoT Analytics & Solutions

· Participate in industrial IoT projects, providing end-to-end data solutions from sensor data ingestion to actionable business insights

· Analyze time-series data from IoT sensors (e.g., equipment telemetry, production logs) for anomaly detection, pattern recognition, and operational optimization

· Design and implement data reporting and visualization solutions tailored to operational and site-specific business requirements

· Collaborate with domain experts to translate complex business problems into analytical solutions

Leadership & Collaboration

· Independently drive projects from problem definition through production deployment with minimal supervision

· Collaborate cross-functionally with QA, business stakeholders, and engineering teams to ensure timely and high-quality delivery

· Mentor junior team members and contribute to technical best practices and knowledge sharing

· Document development processes and design decisions in English, and maintain version control using Git

What You Will Need to be Successful:

· Bachelor's degree or above in Computer Science, Software Engineering, Data Science, Statistics, or related field; Master's or PhD preferred

· Minimum 8 years of experience in data science, machine learning, or AI-related roles

· Proven experience in industrial/manufacturing IoT projects (e.g., predictive maintenance, quality analytics, OEE optimization, or similar domains)

· Strong hands-on experience with GenAI/LLMs, including:

o Azure OpenAI, OpenAI API, or open-source LLM frameworks (e.g., LangChain, LlamaIndex)

o Prompt engineering, RAG architecture, and model fine-tuning techniques

o Experience deploying LLM-based applications in production environments

· Proficient in Python and Spark, with hands-on experience in libraries such as Pandas, Scikit-learn, PySpark, Spark MLlib, and GenAI frameworks

· Experience with Azure Cloud (Databricks, Data Factory, IoT Hub, Azure OpenAI) or AWS equivalent – required

· Solid understanding of time-series analysis, anomaly detection, and statistical modeling for IoT data

· Experience with Databricks for managing ML experiments, building LLM services, and performing model fine-tuning

· Strong SQL skills and understanding of database performance optimization

· Familiar with Python unit testing frameworks such as Pytest and UnitTest

· 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

· Demonstrated ability to work independently and lead complex projects end-to-end

Nice to Have

· Domain knowledge in semiconductor, manufacturing, energy, or industrial automation industries

· Experience with MLOps practices (CI/CD for ML, model monitoring, A/B testing)

· Familiarity with multimodal AI models (e.g., GPT-4V, CLIP, or similar vision-language models)

· Experience contributing to open-source projects or participating in technical community discussions

· Publications or presentations at industry conferences or technical forums

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! 

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