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

Ernst & Young LLP • New York, NY

69d • $205,000 - $235,000

About The Position

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. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist 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.

Requirements

• A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
• 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.
• Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models.
• 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.

Nice To Haves

• Experience working in a startup and/or management/strategy consulting.
• Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
• Collaborative, problem-solving, and growth-oriented mindset.

Responsibilities

• Play a critical role building and scaling multi-source data pipelines.
• Source, merge, and transform data assets that power high-visibility client engagements.
• Architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards.
• Collaborate with Business leaders and C-level executives to solve business questions with data.
• Lead ingestion and ETL design for structured and semi-structured data.
• Understand schema, data quality, and transformation logic for multiple sources.
• Design normalization and joining pipelines across vertical domains.
• Build data access layers optimized for ML.
• 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.

Benefits

• Comprehensive compensation and benefits package.
• Base salary range of $205,000 to $235,000.
• Medical and dental coverage.
• Pension and 401(k) plans.
• Wide range of paid time off options.
• Flexible vacation policy.
• Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees