Lead/Manager - Data Scientist

people + AI

Role Highlights:

Manager - Data Science

What You'll Tackle Each Day:

Delivery & Project Management:

• Develop and implement

  ML models, Gen AI solutions, and predictive analytics

  .
• Perform

  data mining, feature engineering, and statistical analysis

  .
• Own

  project roadmaps, quality control, and timely delivery

  .
• Collaborate with Data Engineering teams to

  deploy and operationalize ML models

  .
• Automate and optimize workflows for efficiency.

Practice Development:

• Contribute to

  scaling Blends Data Science practice

  by building new capabilities.
• Design

  industry-specific AI/ML solutions

  and contribute to thought leadership.
• Evaluate

  emerging AI trends and tools

  and integrate them into our ecosystem.
• Lead

  innovation initiatives

  , research, and internal AI development.

People & Leadership:

• Mentor and develop a

  high-performance data science team

  .
• Guide

  career development

  and set performance benchmarks.
• Collaborate with

  cross-functional teams

  to drive seamless execution.

What You Bring to the Table:

• 7+ years

  of experience in

  Data Science & AI

  , with hands-on expertise in

  ML, Gen AI, Python, and SQL

  .
• Strong knowledge of

  ML algorithms

  (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.).
• Experience in

  end-to-end ML deployment

  , including working with either

  Azure or AWS or GCP or Databricks

  .
• Proven ability to solve complex business challenges in

  Retail, CPG, BFSI, Healthcare, or eCommerce

  .
• Deep expertise in

  statistics, probability, stochastic processes, and causal inference

  .
• Strong communicator who can explain

  AI concepts to non-technical stakeholders

  .
• Experience with

  big data tools (Hadoop, Hive, PySpark) and ML pipelines

  .
• Bonus: Experience in

  Google Analytics, Adobe Analytics, or digital marketing analytics

  .

Education:

• Bachelors/Masters degree in

  Computer Science, Statistics, Math, Operations Research, or a related field

  .