Junior Data Scientist

Location: Remote (India)

Experience: 2-4 years

Shift: 2:00 PM - 11:00 PM IST (overlap with US working hours is mandatory)

Openings: 2, immediate joining preferred

Reports to: US-based Senior Data Scientist (day-to-day supervision)

About the Role

We are looking for two Junior Data Scientists to join an offshore remote development team working under the direct guidance of a US-based data scientist. You will build and deploy data science solutions for commercial use cases, including AI implementations on the Databricks platform.

Key Responsibilities

• Process, clean, and extract insights from large volumes of unstructured data (text, documents, logs, sensor or image data)
• Build, test, and validate machine learning and statistical models
• Contribute to Digital Twin modeling and simulation work
• Apply Operations Research (OR) techniques such as optimization, scheduling, and simulation to business problems
• Develop and deploy AI/ML pipelines on Databricks
• Support commercial use cases (e.g., demand forecasting, pricing, customer analytics, supply chain)
• Collaborate daily with the US data scientist, with clear documentation and regular progress updates

Required Skills

• 2-4 years of hands-on experience in data science or applied ML
• Strong Python (pandas, NumPy, scikit-learn) and SQL
• Proven experience handling unstructured data
• Exposure to at least one of: Digital Twin projects or Operations Research (optimization/simulation tools such as PuLP, OR-Tools, Gurobi, or SimPy)
• Working knowledge of Databricks (notebooks, Spark/PySpark, MLflow)
• Good written and spoken English; comfortable working under remote supervision

Good to Have

• Experience with Databricks AI/ML implementations or Delta Lake
• NLP or LLM/GenAI exposure
• Commercial or business domain use-case experience (retail, CPG, finance, supply chain)
• Cloud experience (Azure, AWS, or GCP)

Education

Bachelor's or Master's in Data Science, Computer Science Engineering,

Work Conditions

• Must be willing to work 2 PM - 11 PM IST on a consistent basis
• Reliable internet and a dedicated remote work setup

Hiring Process

Interviews next week, so shortlisting will be quick. Share your resume and availability at the earliest.