Lead Data Scientist

Responsibilities

• Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights.
• Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modeling to address business problems.
• Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters.
• Provide requirements to develop analytical capabilities, platforms, and pipelines.
• Present insights and recommendations to audiences of varying levels of technical sophistication
• Automate processes to ensure scalability of solutions by collaborating with cross-functional teams.
• Coach junior data scientists and support delivering projects.

Qualifications

• Masters or Bachelors Degree in a quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics).
• 8-10 years of experience as a Data Scientist deploying Data Science projects.
• 7+ years of coding skills in Python, SAS, and SQL.
• Deep understanding and hands-on experience in Machine Learning and Deep Learning
• Good understanding of LLM, GenAI and Databricks is preferred.
• Experience of working with large data sets and developing scalable solutions.
• Knowledge of Automotive, Marketing Business, E-Commerce, Digital transformation is preferred.
• Strong analytical, problem-solving and project management skills.
• Ability to work independently and deal with ambiguity.
• Excellent presentation and communication skills.
• Strong written and verbal communication skills.
• Highly motivated and collaborative team player with strong interpersonal skills.