Data Scientist – Predictive Analytics, IoT & AI Applications

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Job Title: Data Scientist Predictive Analytics IoT & AI Applications

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Job Description

We are seeking a motivated and hands-on Data Scientist to join our Data Science & Analytics team. This role focuses on building predictive models for industrial IoT applications delivering data analysis and reporting solutions and supporting generative AI initiatives. The ideal candidate will have 3 years of experience with solid technical skills in machine learning data analytics and familiarity with LLM/GenAI technologies.

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Responsibilities

Data Analysis & Reporting

Perform exploratory data analysis (EDA) on structured and unstructured datasets to uncover business insights

Design and build data dashboards and visualization solutions tailored to operational and business requirements

Conduct data quality verification data cleaning and feature engineering to support downstream modeling tasks

Write and optimize SQL queries for data extraction transformation and performance tuning

Predictive Modeling & Machine Learning

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

Execute end-to-end ML workflows including feature engineering model training evaluation and iteration

Develop rule engines and hybrid systems combining ML models with business logic

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

Industrial IoT Analytics

Participate in industrial IoT projects supporting data solutions from sensor data ingestion to actionable insights

Collaborate with domain experts to translate business problems into analytical frameworks

Support data pipeline development and maintenance on cloud platforms

GenAI / LLM Support

Assist in building and maintaining LLM-based applications such as document Q&A and text classification

Support prompt engineering and RAG (Retrieval-Augmented Generation) pipeline development

Evaluate and test GenAI tools and APIs for potential business use cases

Collaboration & Documentation

Work closely with senior data scientists engineers and business stakeholders to deliver projects on time

Document analysis processes model designs and results in English

Maintain code quality and version control using Git

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Experience / Qualifications

Masters degree in Computer Science Data Science Statistics Software Engineering or related field

Minimum 3 years of experience in data science data analytics or machine learning roles

Proficient in Python with hands-on experience in libraries such as Pandas NumPy Scikit-learn and Matplotlib/Seaborn

Strong SQL skills with experience in data extraction transformation and query optimization

Solid understanding of machine learning fundamentals: regression classification clustering ensemble methods and model evaluation

Experience with time-series analysis and statistical modeling

Hands-on experience with data visualization tools (e.g. Power BI Tableau or Python-based dashboards)

Familiarity with cloud platforms preferably Azure (Databricks Data Factory) or AWS equivalent

Basic understanding of GenAI/LLM concepts including prompt engineering RAG architecture and API usage (e.g. OpenAI API LangChain)

Familiar with Git for version control

Good English reading and writing skills for technical documentation

Nice to Have

Experience in industrial/manufacturing IoT projects (e.g. predictive maintenance quality analytics OEE optimization)

Experience with PySpark or Spark MLlib for large-scale data processing

Hands-on experience with Databricks for ML experiments or data engineering

Familiarity with Python testing frameworks (Pytest UnitTest)

Experience with LLM fine-tuning or deploying LLM-based applications

Domain knowledge in semiconductor manufacturing energy or industrial automation

Exposure to MLOps practices (model monitoring CI/CD for ML)

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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.

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