EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Dire
EY-Parthenon, New York, New York, us, 10261
EY-Parthenon – 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 build a better working world.
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.
Key Responsibilities Build and scale multi‑source data pipelines—source, merge, transform and enrich 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 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 (NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, 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 A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or 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 At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
We offer a comprehensive compensation and benefits package including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. 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 policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also 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.
Are You Ready to Shape Your Future with Confidence? Apply today.
Equal Employment Opportunity Statement EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. 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, in accordance with applicable law. EY is building a better working world by creating new value for clients, people, society and the planet while building trust in capital markets.
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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 build a better working world.
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.
Key Responsibilities Build and scale multi‑source data pipelines—source, merge, transform and enrich 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 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 (NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, 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 A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or 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 At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
We offer a comprehensive compensation and benefits package including medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. 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 policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also 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.
Are You Ready to Shape Your Future with Confidence? Apply today.
Equal Employment Opportunity Statement EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. 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, in accordance with applicable law. EY is building a better working world by creating new value for clients, people, society and the planet while building trust in capital markets.
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