Staff Data Scientist

Date Posted:

Country:

Location:

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:

Bachelors degree or above in Computer Science Software Engineering Data Science Statistics or related field; Masters 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 whats 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 worlds 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 industrys largest Service portfolio.

You may recognize our products in some of the worlds most famous landmarks including the Eiffel Tower Empire State Building Burj Khalifa and the Petronas Twin Towers! We are 72000 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. Youll belong to a diverse trusted and caring community where your contributions and the skills and capabilities youll 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!

Privacy Policy and Terms:

Click on this link to read the Policy and Terms