Job Summary
We are looking for a hands-on Data Scientist & Python Developer with around 5 years of experience in building, deploying, and maintaining machine learning models and data-driven applications. The role focuses on independent delivery of ML features end to end, working closely with senior data scientists, architects, and product owners.
Key Responsibilities
• Develop, train, and evaluate machine learning models for business and industrial use cases.
• Build Python applications, REST APIs, and data pipelines to operationalize models.
• Develop forecasting, anomaly detection, and predictive analytics models.
• Deploy models using Docker and CI/CD; support model monitoring and retraining.
• Perform data exploration, cleansing, and feature engineering on structured and time-series data.
• Work with product owners and stakeholders to understand requirements and present results.
• Participate in code reviews and support junior team members.

Required Qualifications
• Bachelor’s or Master’s Engineering degree in Computer Science, Data Science, Engineering, or related field.




• 4–6 years of experience in Data Science, Machine Learning, and Python development, with at least 2 models deployed to production.

Technical Skills
• Programming: Python, SQL; FastAPI or Flask
• ML Libraries: Scikit-learn, XGBoost, Pandas, NumPy; TensorFlow or PyTorch
• Data Engineering: Spark, Airflow (Kafka, Databricks – exposure)
• Cloud: Azure, AWS, or GCP (at least one, hands-on)
• MLOps: Git, Docker, MLflow, CI/CD (Kubernetes – exposure)
• Visualization: Power BI, Tableau, or Plotly

Preferred Experience
• Exposure to Industrial AI, Manufacturing, Energy, or IoT data (sensor / time-series).
• Working knowledge of GenAI, LLMs, RAG, or Agentic AI frameworks.

Ownership & Growth Expectations
• Own ML features/modules end to end with minimal supervision.
• Contribute to design discussions; follow engineering and data science best practices.
• Share knowledge within the team and guide junio

📌 Data Analyst II (Hyderabad)
🏢 Schneider Electric
📍 Hyderabad