Data Scientist - Time Series & Forecasting (Immediate Joiner)

Data Scientist Time Series & Forecasting (Immediate Joiner)

Hybrid Work

Key Responsibilities:

• Develop and implement time series forecasting models for business-critical use cases.
• Leverage

  Databricks

  for data processing, transformation, and model deployment.
• Work with

  FMCG

  domain data to derive actionable insights and improve forecasting accuracy.
• Write clean, efficient, and production-ready Python code for data pipelines and ML models.
• Collaborate with business stakeholders and cross-functional teams to deliver analytical solutions.

Must-Have Skills:

• Proven experience in

  time series analysis

  and

  forecasting

  techniques (ARIMA, Prophet, LSTM, etc.).
• Hands-on experience with Databricks.
• Strong expertise in

  Python

  coding for data science and analytics.
• FMCG industry experience.
• Ability to join immediately.

Nice-to-Have:

• Experience with cloud platforms (Azure/AWS/GCP).
• Familiarity with advanced ML techniques and MLOps best practices.