Lead Data Science Engineer Manager - PySpark & ML Ops

KPMG LLP; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

KPMG LLP seeks a Manager, Data Science Engineer to lead analytics initiatives across consulting domains, focusing on NLP, ML, and data engineering. You will guide multi-disciplinary teams, translate complex analytics problems into actionable approaches, and drive end-to-end delivery from data discovery to deployment.

The role requires leadership experience, strong technical depth in Python, PySpark, SQL, and cloud platforms (AWS/GCP/Azure), and a proven ability to deliver measurable business

Qualifications

• Minimum five years leading teams of data scientists, engineers, and analytics professionals.
• Experience delivering end-to-end analytics and data engineering solutions including discovery, cleansing, model development, validation, deployment, and MLOps.
• Ability to apply AI techniques to concrete business goals and work with business to understand data resources and constraints.

Responsibilities

• Translate analytics problems into technical approaches and communicate results to stakeholders across industries.
• Plan engagement objectives, deliverables, and milestones, and manage data discovery, retrieval, and processing from diverse sources.
• Collaborate with Tax, Audit, and Advisory to advance data science understanding and integrate AI solutions.
• Lead multi-disciplinary teams to rapidly iterate models and communicate results to executives.
• Provide oversight for building machine learning algorithms and data science solutions, including code quality and data preparation.
• Act with integrity and uphold a respectful work environment.

Skills

Python

PySpark

SQL

Databricks

Snowflake

Machine Learning

NLP

Data Engineering

R

Education

Master's degree in Computer Science/Statistics/Data Science/Engineering

PhD preferred

Tools

AWS

GCP

Azure

Job description

KPMG LLP seeks a Manager, Data Science Engineer to lead analytics initiatives across consulting domains, focusing on NLP, ML, and data engineering. You will guide multi-disciplinary teams, translate complex analytics problems into actionable approaches, and drive end-to-end delivery from data discovery to deployment.

The role requires leadership experience, strong technical depth in Python, PySpark, SQL, and cloud platforms (AWS/GCP/Azure), and a proven ability to deliver measurable business