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Senior Manager - Data Science

Remote: 
Full Remote
Contract: 
Salary: 
136 - 223K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

6+ years in consumer marketing analytics, 5 years in a management role, Experience managing developing data scientists, Degree in mathematics, economics or engineering, Technical proficiency in SQL, Python, R.

Key responsabilities:

  • Develop and implement analytics roadmap
  • Lead advanced analytics and MLOps execution
  • Manage resources and communicate project progress
  • Collaborate with Data Platform and Architecture teams
  • Grow team’s analyses capabilities with various models
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McAfee XLarge https://www.mcafee.com/
1001 - 5000 Employees
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Job description

Job Title:
Senior Manager - Data Science

Role Overview:

McAfee's consumer data-science team is seeking a senior manager to help guide the team in development of a long-term data-science roadmap and assist in nurturing and developing a growing an highly productive team of data-scientists.

Key functions, in addition to development and implementation of a strategic plan include experience developing and maintaining MMM/MTA models, LTV analytics, overseeing MLOps and collaboration with Platform, Data Engineering and Marketing teams to architect and iterate on data-pipelines and ETL routines to facilitate advanced analytics.

The ideal candidate will have at least 5 years of experience in a management role with demonstrated ability to develop a data-science team. Additionally, the ability to work cross-functionally, identify opportunities for collaboration and improvement and help break down organizational silos with respect to prioritization and execution of key initiatives is critical. We are seeking a candidate who can act as both a 'player' and a 'coach' when it comes to programming/analysis such that they can serve as a thought-leader both within the data-science organization as well as the broader organization as it relates to data and analytics initiatives.

This is a remote position in United States. We will only consider candidates currently in United States and are not offering relocation assistance at this time.

About the Role:

  • Provide thought leadership and strategic thinking to translate business problems into analytical frameworks, and independently recommends actions and provide business insights.
  • Lead the development and implementation of advanced analytics and machine learning, including delivery roadmap, prioritization, methodologies, development of models and MLOps
  • Manage priorities and allocates resources as well as communicate business performance and project progress to management and & business partners.
  • Collaborate and partner with the Data Platform and Enterprise Architecture teams to ensure data architectures, models and pipelines are designed and built to enable, monitor, and sustain data science and machine learning.
  • Develop, implement and maintain analytics enterprise analytics roadmap together with team leadership and cross functional peers
  • Help grow the sophistication of the team’s analyses with LTV models, acquisition cost optimization, ROAS optimization, media mix modeling and Multi-touch Attribution

 

About You:

  • 6+ years working in consumer marketing analytics with at least 5 years in a management role and experience managing/developing data scientists
  • Proven leader that is used to setting quarterly roadmaps for teams based off business needs, providing technical mentorship and leadership to a high performing group
  • Experience with developing and maintaining MMM and/or MTA solutions
  • Excellent analytical and critical thinking skills, and superior presentation and content dissemination skills
  • Player coach who can read and write SQL, Python and/or R
  • Experience with a big data environment / IDE, such as Databricks and/or Snowflake
  • Experience with marketing data architectures, such as CDPs (customer data platforms), digital log files (e.g. Adobe Analytics), and stimulus data (e.g. Google Campaign 360, aggregated agency data)
  • Able to navigate a highly matrixed organization, remove barriers to execution, and influence others with high EQ
  • Bachelor's degree in a related field, such as mathematics, economics, data science, or engineering; a Master's degree or MBA is preferred 

#LI-Remote



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 $135,910.00-$223,285.00. 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.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Computer Hardware & Networking
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Critical Thinking
  • Leadership
  • Analytical Thinking
  • Management
  • Verbal Communication Skills

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