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

About the role

EY-Parthenon’s service line offers transformative strategy, transactions, and corporate finance solutions. The EY Growth Platforms Data Scientist Director collaborates with various teams to design, build, and scale AI solutions for strategic growth initiatives and create enterprise value for Fortune 500 clients.

Responsibilities

• Lead ingestion and ETL design for structured and semi-structured data.
• 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.

Requirements

• Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field with 5+ years of related work experience.
• Graduate degree with 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.
• 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.

Skills and Attributes

• Lead ingestion and ETL design for structured and semi-structured data.
• Understand schema, data quality, and transformation logic for multiple sources on a client-by-client basis.
• 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.
• 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.

Pay

The base salary range for this role in all geographic locations in the US is $205,000 to $235,000. Individual salaries within this range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography.

Schedule

Our expectation is for most people in external, client-serving roles to work together in person 40-60% of the time over the course of an engagement, project, or year. We offer a flexible vacation policy where you decide how much vacation time you need based on your personal circumstances. Additionally, you'll be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.