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About the Role

Seeking a technically strong and business-oriented Senior Data Scientist to own forecasting and planning initiatives. This role will leverage complex data to generate actionable insights that enhance acquisition, retention, customer experience, and business planning value. The ideal candidate excels in time series and machine learning forecasting, translating analytical findings into clear recommendations for stakeholders and executives, and influencing decisions through data-driven storytelling.

Responsibilities

Own and maintain 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 to 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 supporting customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.
Build analytical frameworks to 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 for stakeholders, explaining what happened, why it happened, and what actions to take.
Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to various audiences.
Proactively identify insights, risks, and opportunities in the data.

Requirements

7+ years of experience applying data science, machine learning, forecasting, and/or other advanced analytics in a business environment.
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.
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.
Master’s degree or PhD in a quantitative discipline (Preferred).
Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses (Preferred).
Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods (Preferred).
Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets (Preferred).
Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments (Preferred).
Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions (Preferred).

Skills

Python
SQL
Time-series analysis
Machine learning forecasting
Forecasting
Data storytelling
Marketing analytics
Customer analytics
Statistical modeling

Location

Dallas, TX
New York, NY
San Jose, CA
Newport Beach, CA

Work Type

Hybrid

Experience Level

Senior

Education Level

Master's degree or PhD in a quantitative discipline

Salary/Compensations

USD $107,430.00/Yr. - USD $176,490.00/Yr.

Benefits

Bonus Program
401k 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 for Non-Exempt Employees Accrued Each Year

About the Company

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 protect their families and communities.

Equal Opportunity

McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.