Data Scientist

Hitachi Automotive Systems Americas, Inc.; Chennai District; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED in Chennai, India, is seeking an Engineering Data Scientist to join INOPC-PG to develop a global value chain and deliver advanced analytics across Hitachi Energy markets.

You will lead ML initiatives, design predictive models, build robust data pipelines with Data Engineers, ensure governance and translate outputs with Power BI for executives.

Qualifications

• Bachelor's degree in computer science, data science or a quantitative field.
• 4-8 years of progressive experience in Data Science and Advanced Analytics.
• Strong proficiency in SQL and scalable ETL/ELT pipelines.
• Experience with Databricks, Power BI, Python and Azure data tools.

Responsibilities

• Drive technical excellence in Data Science with high-impact ML initiatives.
• Design and deploy advanced ML models and predictive frameworks.
• Analyze high-dimensional data to extract patterns and provide prescriptive insights.
• Partner with Data Engineers to build robust data pipelines and feature stores.
• Ensure model transparency, governance and performance stability; address data drift.

Skills

SQL

Databricks

Power BI

Python

MLOps

Azure Databricks

Spark SQL

Pandas

NumPy

Data Science

Education

Bachelor's degree in computer science / data science

Tools

Databricks

Power BI

Python

Azure Databricks

Synapse

ADF

Azure ML Studio

Job description

Location: Chennai, Tamil Nadu, India

Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED

Profession (Job Category): Data Analytics/Business Intelligence

Job Schedule: Full time

Remote: No

Job Description:

The opportunity: As an Engineering Data Scientist, you will be part of Indian Operation Center, India (INOPC-PG), aiming to develop a global value chain, where key business activities, resources, and expertise are shared across geographic boundaries to optimize value for Hitachi Energy customers across markets. As part of Transformers BU, we provide high-quality engineering and Technology to Hitachi Energy world. This is an important step from Hitachi Energy's Global Footprint strategy.

How you’ll make an impact:

Drive technical excellence in Data Science by spearheading high-impact ML initiatives within a cross-functional team of engineers and analysts. Design and deploy advanced machine learning models and predictive frameworks, moving beyond descriptive reporting to provide foresight into business trends. Analyze high-dimensional datasets to extract latent patterns and deliver prescriptive recommendations that drive strategic business optimization. Partner with Data Engineers to architect robust pipelines and feature stores, ensuring high-quality data ingestion for model training and inference. Ensuring model transparency, performance stability, and adherence to ethical AI governance and best practices. Leverage tools like Power BI and Python to visualize complex model outputs, making machine learning results interpretable for executive decision‑making. Collaborate with business units to identify challenges solvable through AI, proposing end-to-end Data Science solutions that deliver measurable ROI. Proactively troubleshoot and refine ML models, addressing data drift and performance degradation to maintain long‑term accuracy and scalability. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy’s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background:

Bachelor’s degree in computer science / data science, or quantitative discipline. 4-8 years of progressive experience in Data Science and Advanced Analytics. Extensive experience in Statistical Modeling and Machine Learning, including deep understanding of supervised/unsupervised learning, feature engineering, and model validation. Expert-level proficiency in Complex SQL and architecting scalable ETL/ELT pipelines to handle high-volume, unstructured, and structured datasets. Hands‑on experience with Databricks (PySpark/Spark SQL) for large‑scale data processing and Microsoft Power BI for delivering executive‑level prescriptive insights. Should have Strong Domain Knowledge across the Data Science Experience in Azure Databricks, Synapse, ADF, Azure ML Studio. Proficient in Python (Scikit‑Learn, Pandas, NumPy) and seasoned in MLOps principles (model versioning, deployment, and monitoring) within an Agile framework. Ability to independently manage end‑to‑end BI projects. Strong analytical and problem‑solving skills with a focus on data accuracy and performance optimization. Ability to collaborate effectively across engineering and business teams from different cultural and geographical backgrounds. Strong analytical skills, experience in data analysis and management. Ability to work independently and as part of a team. Detail‑oriented with the ability to manage multiple tasks simultaneously. Ability to manage multiple priorities and meet deadlines. Tasks and time self‑management. Proficiency in both spoken & written English language is required.

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision‑making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre‑employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws. For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security‑sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position. The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.

Hitachi brings together the world’s greatest minds to help breathe life into new possibilities – and drive innovation for a better future. That’s why we look for individuals who share our pioneering spirit, have imaginative ideas and are fearless when it comes to tackling the world’s biggest challenges. Our people love technology – and they love making a difference. They have a passion for finding new solutions and working with brilliant colleagues. Every day they dedicate themselves to a huge range of exciting projects, contributing to the Hitachi vision around the globe. From engineering new sustainability solutions that conserve water and energy to creating the infrastructure for the smart cities of tomorrow, there’s no challenge too great for our pioneers. And there’s no shortage of opportunities for you to make a difference. Come and experience the dynamic, collaborative and creative environments where your ideas are welcome and new discoveries are waiting. To help you grow to your full potential, we strive to support our employees in their career aspirations and promote the freedom to explore new horizons.

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