EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Seni

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon – EY Growth Platforms - Data Scientist – Senior Director EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Senior Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. The opportunity The EY Growth Platforms Data Scientist Senior Director will play a critical role building and scaling our multi-source data pipelines— sourcing, merging, and transforming data assets that power high-visibility client engagements. Your key responsibilities Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). Understand schema, data quality, and transformation logic for multiple sources on a client-by-client basis. Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). Build data access layers optimized for ML (feature stores, event streams, vector stores). Define and enforce standards for data provenance, quality checks, logging, and version control. Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). Communicate findings and recommendations to stakeholders through compelling data storytelling and visualizations. Lead the design, development, and deployment of AI and machine learning models and statistical analyses. Translate complex business problems into data science solutions using advanced analytics techniques. To qualify for the role, you must have A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 8 years of related work experience; or a graduate degree and approximately 7 years of related work experience. Proven experience in managing and developing high-performing data science and data engineering teams. Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. Basic understanding of ML/feature pipelines and downstream modeling needs. The ability and willingness to travel and work in excess of standard hours when necessary. What we offer you We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. Join us in our team-led and leader-enabled hybrid model. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

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