EY-Parthenon
EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Seni
EY-Parthenon, Los Angeles, California, United States, 90079
Overview
EY-Parthenon’s Growth Platforms Data Scientist – Senior Director role involves building and scaling multi-source data pipelines and powering AI solutions for strategic growth initiatives at F500 clients. The position collaborates with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that create enterprise value. The opportunity
The EY Growth Platforms Data Scientist Senior Director will play a critical role in building and scaling 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 solve important business questions with data. Your Key Responsibilities
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.). Communicate findings and recommendations to stakeholders through data storytelling and visualizations. Lead the design, development, and deployment of AI and machine learning models and statistical analyses. Translate complex business problems into data science solutions using advanced analytics techniques. Qualifications
A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 8 years of related work experience; or a graduate degree with approximately 7 years of related work experience. Proven experience in managing and developing high-performing data science and data engineering teams. 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 beyond standard hours when necessary. Ideally, you’ll also have
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 Look For
We’re looking for passionate leaders with a clear vision and a desire to stay on top of trends in Data Science and Big Data. If you’re excited about helping businesses maximize the potential of their data, this role is for you. What We Offer You
EY will develop you with future-focused skills and world-class experiences, in a flexible, diverse, and inclusive culture of globally connected teams. Comprehensive compensation and benefits. Base salary range in the US is $250,000 to $290,000 plus a Total Rewards package including medical and dental, pension and 401(k), and paid time off. Hybrid work model: most client-serving roles are expected to be in-person 40-60% of the time, depending on engagements. Flexible vacation policy with paid holidays, winter/summer breaks, personal/family care, and other leave options to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California applicants, additional information is available. EY is committed to equal employment opportunities and to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
Business Consulting and Services
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EY-Parthenon’s Growth Platforms Data Scientist – Senior Director role involves building and scaling multi-source data pipelines and powering AI solutions for strategic growth initiatives at F500 clients. The position collaborates with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that create enterprise value. The opportunity
The EY Growth Platforms Data Scientist Senior Director will play a critical role in building and scaling 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 solve important business questions with data. Your Key Responsibilities
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.). Communicate findings and recommendations to stakeholders through data storytelling and visualizations. Lead the design, development, and deployment of AI and machine learning models and statistical analyses. Translate complex business problems into data science solutions using advanced analytics techniques. Qualifications
A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 8 years of related work experience; or a graduate degree with approximately 7 years of related work experience. Proven experience in managing and developing high-performing data science and data engineering teams. 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 beyond standard hours when necessary. Ideally, you’ll also have
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 Look For
We’re looking for passionate leaders with a clear vision and a desire to stay on top of trends in Data Science and Big Data. If you’re excited about helping businesses maximize the potential of their data, this role is for you. What We Offer You
EY will develop you with future-focused skills and world-class experiences, in a flexible, diverse, and inclusive culture of globally connected teams. Comprehensive compensation and benefits. Base salary range in the US is $250,000 to $290,000 plus a Total Rewards package including medical and dental, pension and 401(k), and paid time off. Hybrid work model: most client-serving roles are expected to be in-person 40-60% of the time, depending on engagements. Flexible vacation policy with paid holidays, winter/summer breaks, personal/family care, and other leave options to support well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis. For California applicants, additional information is available. EY is committed to equal employment opportunities and to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
Business Consulting and Services
#J-18808-Ljbffr