EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Dire
EY-Parthenon, Detroit, Michigan, United States, 48228
EY-Parthenon – Data Scientist – Director
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, New York, Philadelphia, San Francisco, Seattle
At EY, we’re dedicated to shaping your future with confidence. Join EY to help build a better working world.
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 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.
Design normalization and joining pipelines across vertical domains.
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.
Benefits
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.
Join us in a team‑led and leader‑enabled hybrid model, working 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.
Apply Today Are you ready to shape your future with confidence? Apply today.
EY is an equal employment opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Applications are accepted on a continuing basis.
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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 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.
Design normalization and joining pipelines across vertical domains.
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.
Benefits
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.
Join us in a team‑led and leader‑enabled hybrid model, working 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.
Apply Today Are you ready to shape your future with confidence? Apply today.
EY is an equal employment opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Applications are accepted on a continuing basis.
#J-18808-Ljbffr