Data Engineer

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The opportunity

We are looking for a highly motivated and detail-oriented Data Scientist to join the Data Analytics team. The role supports a variety of business processes across engineering technology manufacturing supply chain and marketing & sales.

This position combines creativity analytics and business understanding to drive productivity and innovation. Working closely with engineers analysts and business stakeholders the role contributes to the development of scalable analytical and machine learning solutions that deliver measurable business value.

The position offers the opportunity to work with large and complex datasets advanced statistical techniques predictive modeling and modern cloud technologies. It also provides exposure to Microsoft Azure Databricks and data-driven initiatives that support business growth and operational excellence.

How youll make an impact

• Lead the design development deployment and improvement of machine learning models.
• Translate business challenges into scalable analytical and machine learning solutions.
• Analyze large and complex datasets to uncover trends and optimization opportunities.
• Apply statistical methods hypothesis testing and experimentation to solve business problems.
• Build validate and optimize models for classification regression clustering and forecasting.
• Define model success criteria evaluation metrics and validation approaches.
• Collaborate with data engineering teams on data preparation integration and optimization.
• Present insights and recommendations to stakeholders and support less experienced team members.

Your background

• Bachelors or Masters degree in Data Science Computer Science Statistics Mathematics Engineering or a related quantitative field.
• Strong hands-on experience with Python and ML libraries such as pandas NumPy scikit-learn XGBoost TensorFlow and/or PyTorch.
• Strong proficiency in SQL and experience working with large relational datasets.
• Proven experience developing validating and deploying machine learning models in business environments.
• Strong foundation in statistics probability hypothesis testing experimental design and model evaluation.
• Experience with Power BI Microsoft Azure Azure Databricks and cloud-based analytics or machine learning environments.

More about us

We pride ourselves on offering a holistic range of competitive benefits to support your financialphysicaland mental wellbeing and personal development. We want you to truly thrive with us in work and out.

We can provide more information during the recruitment process.

Are you ready fora new excitingchallenge Does the above description sound like you Applications will be reviewed on an ongoing basis sodontdelay apply today!

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 Hitachis 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 rolesparticularly those involving access to sensitive information financial responsibilities client data regulated environments or security-sensitive functionsadditional 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.