Data Scientist

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ETAP empowers customers to make informed decisions throughout the life cycle of their projects with innovative software solutions for electrical systems. By applying ETAP solutions, customers experience continuous intelligence during design and engineering and into operations and maintenance using a unified electrical digital twin platform. ETAP supports customers in their digital transformation and sustainable energy transitions for a green and smart future, helping them to prioritize safety, maximize reliability, and stay resilient.

Our employees’ passion for excellence, innovation, and customer satisfaction is our most prized resource. If you share that passion—and want to be part of a company that leads the energy transition towards a cleaner and more resilient world for future generations—join us!

ETAP is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer.

Job Details

Job Title: Data Scientist

Location: on-site

Employment Type: Full-time

Seniority Level: Entry level

Job Function: Engineering and Information Technology

Industries: Software Development

Key Responsibilities

• Build and deploy machine learning models for classification, regression, ranking, and recommendation tasks.
• Apply feature engineering, cross-validation, and model evaluation techniques to improve accuracy and robustness.
• Develop and maintain reproducible workflows using Python, SQL, MLflow/W&B, and Azure ML.
• Collaborate with engineering teams to deliver models as scalable APIs using FastAPI and Docker.
• Monitor and evaluate models in production to detect drift, maintain quality, and ensure reliability.

Essential Requirements

• Strong programming skills in Python with proficiency in Pandas, NumPy, and scikit-learn.
• Experience with SQL/NoSQL databases and data pipelines.
• Hands‑on knowledge of XGBoost / LightGBM for tabular modeling.
• Experience with model deployment and tracking using Git, Docker, FastAPI, and Azure ML.
• Solid understanding of evaluation metrics for classification, regression, and ranking.

Desired Skills & Competencies

• Experience with PyTorch / TensorFlow, Optuna, and ONNX.
• Exposure to Graph ML (PyTorch Geometric, DGL) or Generative AI workflows (embeddings, RAG, LangChain/LlamaIndex).
• Strong communication skills, able to explain technical concepts to varied audiences.
• Demonstrates curiosity to learn new methods, aspiration to push the limits of applied AI, impact through delivery of measurable results, and builds trust by working openly and collaboratively.

ETAP requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third‑party personal data may involve additional background check criteria.

ETAP is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join ETAP to create the transformative technology that enables our customers to engineer a better world.