Senior Data Scientist, Forecasting and Analytics

McAfee; New York (NY); Hybrid; USD 107,430 - 176,490; Full time

Benefits offered by this job

Bonus Program

401k Retirement

Medical, Dental, Vision, Basic Life, S

Short Term Disability and Long-Term

Paid Parental Leave

Support and Community Involvement

14 Paid Company Holidays

Unlimited Paid Time Off for Exempt Em

96 Hours of Sick Time and 120 Hours of

Job summary

McAfee is seeking a Senior Data Scientist to own forecasting and planning initiatives across marketing analytics. The role emphasizes forecasting related to revenue, demand, retention, and customer value, translating complex data into actionable insights that influence acquisition and experience.

The ideal candidate excels in time series and ML forecasting, communicates findings to executives, and can frame ambiguous problems, build reliable models, and tell data-driven stories.

Qualifications

• 7+ years applying data science, ML, forecasting in a business environment.
• Proficient in Python, SQL and data science libraries.
• Strong time-series forecasting, seasonality, backtesting.
• Experience in marketing analytics, customer analytics, lifecycle metrics.
• Ability to translate ambiguous business questions into analytical plans and actionable recommendations.

Responsibilities

• Own forecasting and planning models for marketing and business outcomes.
• Translate historical trends into forecasts and scenarios.
• Develop planning tools and readouts for stakeholders and executives to understand expected performance and tradeoffs.
• Monitor forecast accuracy and diagnose variance versus plan, recommending adjustments.

Skills

Strong communication

Data storytelling

Python

SQL

Time-series forecasting

Forecasting

Education

Master’s degree or PhD in quantitative discipline

Tools

Databricks

Snowflake

BigQuery

Job description

Role Summary

We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.

We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.

The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.

This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time.

Position Details

About The Role

Forecasting & Planning

• 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.

Advanced Analytics & Machine Learning

• 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.

Marketing Insights & Stakeholder Storytelling

• 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.
• Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.
• Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.

About You

• 7+ yrs 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.

Preferred Qualifications

• Master’s degree or PhD in a quantitative discipline.
• Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.
• Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.
• Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.
• Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.
• Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.

Company Overview

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.

Company Benefits And Perks

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• 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

We're serious about our commitment to diversity which is why 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.

Pay Range

The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications.

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