
Manager Data Scientist
MILWAUKEE, WIJobSeen todaySeen in employer's feed today
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Job overview
KPMG is seeking a Manager, Data Scientist for its Clients and Markets organization, focused on sales and marketing platforms. The role designs and deploys statistical and machine learning models, builds AI-driven activation pipelines, and integrates data across Databricks and Salesforce. It also includes model validation and production maintenance, with deployed work expected to comply with enterprise data governance, security, and responsible AI protocols.
Skills & qualifications
Skills
Qualifications
Full job description
JOB REQUIREMENTS: 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 environmentQualifications: Minimum five years of recent deep, hands-on coding and modeling experience developing, evaluating, and deploying machine learning models in production... For full info follow application link. 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 "https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf? "contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/B7A4B8203B6B4350
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