Data Scientist

Full time

Employment Information

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Role Overview:

McAfee’s Marketing Data Science team is looking for their next Data Scientist! The role is centered on using quantitative skills, statistical methodologies, programming skills and business judgement to convert analytic findings into customer insights that can be used to accelerate marketing initiatives. You will play a key role in adding nuance and sophistication to McAfee’s ability to evaluate and optimize portfolio spend with respect to acquiring Direct-to-Consumer subscribers.

You will use your experience and domain-expertise to help develop, implement and iterate on models and analysis that help optimize existing initiatives and identify new opportunities for driving ROAS and subscriber-LTV. You will also leverage your programming and visualization-skills, data-acumen and business-domain-knowledge to create powerful insights and distill/ present findings and recommendations to a varied audiences ranging from other data-scientists to senior executives.

This is a role based out of the United States or Canada and we are only considering candidates based out of the United States or Canada at this time. We are not offering relocation at this time. About the role:

You will apply your knowledge of the digital marketing domain to inform, iterate and improve upon Marketing-Mix-Models with the goal of optimizing and accurately forecasting ROAS with a deep understanding of topics such as:

  • Time-decay and relationship to ROAS for specific channels

  • Panel/mixed-effects modeling

  • Markov-chain analysis

  • ROAS/marginal-ROAS optimization

  • ‘what-if?”/scenario analysis

  • You will use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data

  • You will apply data-wrangling / data-engineering skills towards development of ETL pipelines to support both modeling-efforts and creation/consolidation of analytical datasets stitched together from a variety of sources and platforms

  • You will employ your domain-knowledge and insights with respect to CAC and ROAS to enhance existing framework for computing customer-LTV and the associated CAC (customer acquisition cost)

  • Redefine most relevant groupings for LTV projection and forecasting through ML/statistical methods to create more accurate LTV projections and insights

  • You will identify driver and leading indicators relevant to both LTV and CAC computations to help develop a ‘predictive view’ of LTV trajectory

About you:

  • You have ~5 years of experience in a data-science role and a Master’s in Statistics, Data Science, Computer Science, Econometrics or other quantitative fields is heavily preferred
  • You have at least 3 years of experience working daily with either Python or R for data-collection, ingestion and analysis.
  • You have at least 3 years of experience in applied predictive/ML modeling using either R or python (python preferred)
  • You have a strong understanding of Market-Mix-Modeling and Multi-Touch-Attribution frameworks with the demonstrated ability to iterate, enhance, scale and improve accuracy and reliability of insights
  • You have at least 3 years of experience with building and refining time-series forecasts including application of hierarchical and grouped methodologies
  • You have familiarity with NLP techniques including Transformer Models
  • You have advanced SQL skills including the ability to query structured/semi-structured data from an analytical perspective and scope and implement ETL pipelines
  • You can own data science projects of varying scope from concept to delivery while focusing on delivering a solution to address the original problem statement to achieve success

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 Plan
  • Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
  • Paid Parental Leave
  • Support for 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.

The starting pay range for this position is $107,430.00-$176,490.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner. Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.

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