Data Scientist

About the role

The Data Scientist executes end-to-end Data Science and Machine Learning workflows under guidance to deliver measurable value in industrial operations. You will focus on data acquisition/cleaning, feature engineering, exploratory analysis, model development/validation, and contribute to deployment and monitoring in collaboration with data/platform engineering.

What you'll do

• Execute DS/ML tasks across the model lifecycle: data acquisition, quality assessment/cleansing, feature engineering
• Train, tune, and validate models (regression, classification, and time-series methods such as ARIMA/Prophet; anomaly detection
• Collaborate with data/platform engineering to contribute to data pipelines and model serving
• Create visual analyses and concise summaries to communicate findings and recommendations to teammates and stakeholders; incorporate feedback to iterate
• Assist in measuring outcomes against success metrics (e.g., reliability, availability, efficiency, emissions, cost) and maintain project artifacts (reports

What you need

• 3–6 yrs of experience
• Machine learning
• SQL
• Python
• ETL
• Data analysis
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Pandas
• Scikit-learn
• AWS
• MLOps
• NumPy
• TensorFlow