Senior Data Scientist, Forecasting and Analytics

McAfee, a leader in consumer personal security, seeks a Senior Data Scientist focused on forecasting and analytics to sharpen acquisition, retention, and overall planning. This hybrid role in Frisco, TX collaborates across Marketing, Finance, and Product to build predictive models, improve forecast accuracy, and translate complex data into clear, strategic recommendations.

Responsibilities

• Own and maintain forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer lifetime value.
• Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenario analyses.
• Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and tradeoffs.
• Monitor forecast accuracy, diagnose variance versus plan, and propose 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 illuminate customer needs, behavior drivers, performance trends, and opportunities 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 explain what happened, why it happened, and what actions to take.
• Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and non-technical audiences.
• Proactively identify insights, risks, and opportunities in the data beyond narrowly defined requests.

Requirements

• 7+ years of experience applying data science, machine learning, forecasting, or other advanced analytics in a business environment.
• Strong proficiency in Python and SQL, with experience using common data science libraries.
• Solid working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.
• Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.
• Ability 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.

Technologies

• Python
• SQL
• Databricks
• Snowflake
• BigQuery

Benefits

• Bonus program
• 401(k) retirement
• Medical, dental, vision, basic life, short-term disability and long-term disability coverage
• Paid parental leave
• Support and community involvement
• 14 paid company holidays
• Unlimited paid time off for exempt employees
• 96 hours of sick time and 120 hours of vacation per year for non-exempt employees

Company Overview

McAfee is a leader in consumer personal security. The company focuses on protecting people, not just devices, delivering integrated, intuitive solutions that adapt to an always connected world to help families and communities stay secure with the right security at the right moment.

Pay Range

Anticipated compensation ranges from USD 107,430 to USD 176,490 per year, depending on experience and qualifications.