Senior Data Scientist

Job Summary

The Sr. Data Scientist would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with partners and coach junior data scientists in the team.

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

• Master's or Bachelor's Degree in a quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics).
• 5-7 years of experience as a Data Scientist deploying Data Science projects.
• 5+ years of coding skills in Python, PySpark, and SQL.
• Deep understanding and hands-on experience with ML and DL Algorithms.
• Good understanding of LLM, Gen AI, Databricks and Cloud Systems (AWS or Azure).
• Experience of working with large data sets and developing scalable solutions.
• Knowledge of Automotive Business and Digital Marketing Campaigns are preferred.
• Ability to work independently and deal with ambiguity.
• Strong analytical and problem-solving skills.

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