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

EY-Parthenon – EY Growth Platforms – Data Scientist – Director

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

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'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. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

Your Key Responsibilities

The EY Growth Platforms Data Scientist 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. This role will architect, clean, transform, and enrich data to power AI / ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data.

Skills And 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 on a client-by-client basis (e.g., 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.).

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 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 (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.

Ideally, you will have

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.

What We Look For

We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

What We Offer You

A comprehensive compensation and benefits package with a base salary range of $205,000 to $235,000 and performance-based rewards. Benefits include medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Flexible hybrid work model where most external, client-serving roles work together in person 40-60% of the time.

A flexible vacation policy allowing you to decide how much vacation time you need, along with time off for EY Paid Holidays, Winter / Summer breaks, Personal / Family Care, and other leaves of absence.

Equal Employment Opportunity

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. EY is committed to providing reasonable accommodation to qualified individuals with disabilities. If you have a disability and need assistance applying online or request an accommodation, please contact our Talent Shared Services Team via phone or email.

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