Hiring: Senior Data Scientist, Forecasting and Analytics Company: McAfee Location: San Jose, CA Job Posted Time: 2026-09-11 12:18:13 Employment Type: Hybrid Target Skills & Keywords : BigQuery, Databricks, Machine Learning, Python, REST, SQL, SaaS, Snowflake About the job Experience: •7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment. Required Skills: •Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value. •Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios. •Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs. •Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions. •Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value. •Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement. •Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics. •Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take. Qualifications: •Strong proficiency in Python, SQL, and common data science or statistical modeling libraries. •Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting. •Demonstrated capacity to translate ambiguous business questions into structured analytical plans and actionable recommendations. •Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders. •Master’s degree or PhD in a quantitative discipline. •Operational familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods. •McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!