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)
KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8088_9_26 California Salary Range: $127200 - $246900
