Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from EY-Parthenon
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 – EY Growth Platforms - Data Scientist – Director
The opportunity
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.
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.
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 like 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
- 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. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. 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.
- Under our flexible vacation po
Source: EY-Parthenon careers