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Senior Data Scientist

4 months ago

Bengaluru, India Epsilon Full time

Job Description

The Automotive practice within Epsilon accelerates and drives growth for major players of the automotive industry, from Original Equipment Manufacturers (OEM) to Dealers big and small in the US and Canada. Part of a 1,600-member global team, the practice offers the automotive world’s largest service reminder platform along with agency services and digital media solutions. A leader in the automotive space, the team supports over 50% dealers in the US and manages 280M+ customer vehicle relations.

The Automotive Data Science team within Epsilon partner with both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms.

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 stakeholders and coach junior data scientists in the team.

Roles and 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, SAS and SQL. Deep understanding and hands-on experience with ML and DL Algorithms. Good understanding of LLM, Gen AI, and Cloud Systems (AWS or Azure) is a plus. Experience of working with large data sets and developing scalable solutions. Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills.