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

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

Locations: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle.

Join EY-Parthenon to lead data science initiatives across Growth Platforms, driving strategic growth for Fortune 500 clients. As a Data Scientist Director, you will partner with business leaders, AI/ML engineers, and project managers to design, build, and scale innovative AI solutions.

Your Key Responsibilities

• Build and scale multi-source data pipelines—sourcing, merging, and transforming 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 mission‑critical business questions with data.

Skills & Attributes for Success

• 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 such as NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
• 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.).

Qualifications

• BA in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related work experience; or graduate degree with ~3 years of related 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 (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.
• Willingness to travel and work beyond standard hours when necessary.

Preferred Experience

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

What We Offer

• Comprehensive compensation and benefits package with a base salary range of $205,000 to $235,000 in the U.S.
• Hybrid work model: 40‑60% on‑site at client sites.
• Generous vacation policy and paid holidays plus flexible leave options.
• Diverse and inclusive global team culture.

EY is an Equal Opportunity Employer. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, pregnancy, disability, national origin, protected veteran status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.

Apply today and shape your future with confidence.

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