Manager, Data Scientist (Sales and Marketing Platforms)

About the role

KPMG is known for being a great place to work and build a career, providing audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients, enabled by a culture that encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager, Data Scientist (Sales and Marketing Platforms) to join our Clients and Markets organization.

Responsibilities

• Hands-on design, coding, and deployment of custom statistical algorithms, marketing lift models, and quasi-experimental frameworks in Python/R to quantify campaign impact and optimize commercial investments
• Build and deploy machine learning models across Databricks and Salesforce, writing custom pipelines in Databricks MLflow/PySpark while configuring and tuning Salesforce Einstein / CRM Analytics ML models and Data Cloud transformations
• Script and engineer AI-driven activation pipelines leveraging modern LLMs (Gemini, Claude), creating automated prompts and APIs to translate complex model outputs into narrative insights and conversational intelligence
• Extract, clean, and engineer complex feature sets directly from raw CRM, digital touchpoint, and Lakehouse data sources, establishing seamless data/model integration between Databricks and Salesforce
• Perform rigorous model validation, back testing, hyperparameter tuning, and code maintenance, ensuring reproducible, high-performance execution across all production workloads; ensure all deployed scripts, models, and GenAI workflows comply with enterprise data governance, security, and responsible AI protocols
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications

• Minimum five years of recent deep, hands-on coding and modeling experience developing, evaluating, and deploying machine learning models in production environments
• Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in statistics, data science, computer science, applied mathematics, or a related quantitative field is required
• Expert-level Python and advanced SQL programming skills, with extensive hands-on experience using data science libraries (for example, pandas, NumPy, scikit-learn, PyMC, Statsmodels, LightGBM/XGBoost)
• Proven hands-on track record building, training, and tracking models on Databricks (PySpark, Delta Lake, MLflow, Feature Store)
• Hands-on experience developing, integrating, or tuning models within the Salesforce ecosystem (for example, Salesforce Einstein, CRM Analytics / Einstein Discovery, or Salesforce Data Cloud)
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Benefits

• Comprehensive medical and dental plans
• Vision coverage
• Disability and life insurance
• 401(k) plans
• Personal well‑being benefits to support mental health
• Personal Time Off per fiscal year (amount based on job classification, standard work hours, and years of service)
• Annual holiday calendar; two additional breaks each year (year‑end and around July 4th) where eligible employees are not required to use PTO

Pay

California salary range: $127,200 – $246,900 (actual offer based on skills, responsibilities, experience, degrees/certifications, and market considerations).