Description

We are seeking a highly skilled Senior Data Scientist to join a growing data science team supporting high-visibility initiatives. This individual will play a critical role in driving end-to-end machine learning solutions—from problem definition and proof of concept (POC) through full production deployment.
This is an opportunity to work on impactful business use cases involving pricing optimization, customer segmentation, and predictive modeling, collaborating closely with business stakeholders and cross-functional technical teams.

Key Responsibilities

• Lead the end-to-end data science lifecycle, including:
  • Problem definition and requirements gathering with business stakeholders
  • Data collection, exploration, and feature engineering
  • Model development, evaluation, and selection
  • POC validation and production deployment
• Design and build classification and regression models to support pricing and sales optimization use cases
• Develop models to:
  • Predict likelihood of winning deals based on historical data
  • Optimize pricing and margin strategies
• Collaborate directly with business teams to translate requirements into data science solutions
• Work cross-functionally with data engineers and machine learning engineers
• Contribute to multiple project phases (parallel model development tracks)
• Ensure scalable and maintainable model deployment in production environments
• Operate independently with minimal supervision, driving initiatives forward

Required Qualifications

• Proven experience delivering ML solutions from POC to production (critical requirement)
• Strong foundation in:
  • Machine learning (traditional ML techniques)
  • Statistics and data modeling
  • Feature engineering
• Hands-on experience with:
  • Classification models (e.g., segmentation, predictive outcomes)
  • Regression models (e.g., pricing, forecasting, optimization)
• Ability to:
  • Work independently without heavy oversight
  • Interface directly with business stakeholders
  • Translate ambiguous problems into structured solutions
• Experience working in collaborative, cross-functional teams

Preferred Qualifications

• Experience with:
  • Databricks environment
  • MLflow for model tracking and lifecycle management
  • PySpark / distributed data processing
• Background in pricing analytics, sales optimization, or customer segmentation modeling
• Experience in high-visibility or enterprise-scale projects

Key Skills

Education

Any Graduate