Data Scientist

This role is for one of the Weekday's clientsMin Experience: 3 years

Location: Bangalore

JobType: full-time

We are looking for a skilled Data Scientist with a strong background in developing and deploying machine learning solutions to solve real-world business problems. The role involves hands-on work across the entire ML lifecycle—from data exploration and feature engineering to model development, validation, and deployment—while collaborating closely with stakeholders to deliver impactful outcomes.

Requirements

Key Responsibilities

• Design and implement end-to-end machine learning solutions to address business challenges.
• Work extensively with Python, PySpark, and T-SQL for data processing and analysis.
• Perform data exploration, preprocessing, feature engineering, and model validation.
• Build and optimize predictive and time-series forecasting models.
• Collaborate with cross-functional teams to gather requirements and translate them into data-driven solutions.
• Develop and deploy ML models on Azure/Databricks cloud platforms.
• (Good to have) Contribute to building LLM-based AI solutions, Power BI dashboards, and GitHub version control workflows.

Ideal Candidate

• 3–5 years of relevant experience, with at least 2 years in end-to-end model development.
• Proven experience in building price optimization models, inventory allocation models, and inventory replenishment models.
• Strong preference for candidates with expertise beyond demand forecasting (not primarily focused on demand forecasting).
• Hands-on experience with Databricks and Azure for ML solution development.
• Strong problem-solving skills, analytical thinking, and ability to translate data insights into business impact.

Skills

• Core: Python, PySpark, T-SQL, Machine Learning, Azure Databricks
• Preferred: LLM-based AI solutions, Power BI, GitHub versioning