Data Scientist 2

Job Description

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. Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic. Enhance data maturity and integration for Epsilon projects by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect experience working within a collaborative team. Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to delivering actionable insights. Qualifications Master's or Bachelor's Degree in a quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics). 2-4 years of experience as a Data Scientist deploying Data Science projects. 2+ years of hands-on experience in Python, SQL, ML and DL Algorithms. Good to have understanding of LLMs, Databricks, Azure DevOps, and Cloud Systems . 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. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills.