Senior Data Scientist & Data Engineer – Hybrid

EY-Parthenon; Philadelphia (Philadelphia County); Hybrid; USD 130,000 - 185,000; Full time

Benefits offered by this job

Hybrid work model

Medical & dental coverage

Pension & 401(k)

Paid time off

Job summary

EY-Parthenon is seeking a Data Scientist Senior Associate/Consultant to build and scale multi-source data pipelines powering AI/ML-driven insights for client engagements.

You will partner with business leaders and C-level executives, manage data quality and provenance, and ensure privacy-ready data workflows in collaboration with AI/ML and Platform teams. The role requires strong SQL/Python/Scala skills, experience with cloud-native data infra, and a willingness to travel.

Qualifications

• Bachelor's degree and at least 2 years of related work experience; or a graduate degree with ~18 months of related work experience.
• Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
• Familiarity with cloud-native data infrastructure (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.
• Must reside in or be in a commutable distance to the office location for this position.
• Willingness to travel and work in excess of standard hours when necessary; in certain circumstances, travel may be required beyond your work location based on client and project needs.

Responsibilities

• Build and scale multi-source data pipelines— sourcing, merging, and transforming data assets that power AI/ML-driven agents and dashboards.
• Collaborate with Business leaders and C-level executives to solve mission-critical business questions with data.
• Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.).

Skills

SQL

Python

Scala

Data pipelines

Data quality

ETL design

Data provenance

ML/BI readiness

Cloud-native data infra

Education

Bachelor's degree

Graduate degree

Tools

Airflow

dbt

Snowflake

BigQuery

Databricks

Delta Lake

GCP

AWS

Job description

EY-Parthenon is seeking a Data Scientist Senior Associate/Consultant to build and scale multi-source data pipelines powering AI/ML-driven insights for client engagements.

You will partner with business leaders and C-level executives, manage data quality and provenance, and ensure privacy-ready data workflows in collaboration with AI/ML and Platform teams. The role requires strong SQL/Python/Scala skills, experience with cloud-native data infra, and a willingness to travel.