New

Manager, Data Scientist (Sales and Marketing Platforms)

KPMG
$127200.00-$246900.00
life insurance, 401(k)
United States, Colorado, Denver
Sep 24, 2026
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. 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) 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 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.