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.