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Data Scientist for Product - Remote

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Full Remote
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Offer summary

Qualifications:

2 to 5 years of experience in machine learning and deep learning., Advanced degree in Data Science, Statistics, Computer Science, or a related field., Proficiency in SQL, Python, and/or R, with experience in big data systems., Excellent communication skills and ability to collaborate in a team environment..

Key responsabilities:

  • Develop and train machine learning models for product features to enhance business outcomes.
  • Manage dataflows and automate workflows for continuous improvement of ML models.
  • Participate in the agile development lifecycle as part of a product team.
  • Collaborate with team members to design, develop, debug, and release high-quality products.

McAfee logo
McAfee XLarge https://www.mcafee.com/
1001 - 5000 Employees
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Job description

Role Overview:

With the mission of capturing the biggest market share in the area of cyber security, network security, endpoint security, threat research, malware research, cloud security, we work together for a common goal of shaping the company’s future by designing and building the best in class robust and scalable security products for consumer customers. As industry top performers, we aim to develop optimized high-performance system software solutions that is data-driven.

This is where you come in. We are looking for a new team member who is defined by their unique and innovative data science skills who wants to make a significant impact in a critical core business for McAfee.

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


About the role:

  • Develop and train optimal ML models in big data environment for use in product features and with the purpose of maximizing business & product outcomes
  • Curate and manage telemetry, dataflows and workflow automation to operationalize and systemize creation and use of up-to-date ML models in a continuous improvement strategy
  • As an embedded and integral part of a product team, perform the duties and rituals of an agile development lifecycle
  • Work with team and cross-team members to design, develop, debug and release production quality products

About you:

  • 2 to 5 years of proven track record of ML and deep learning industry experience
  • Excellent oral, written, and interpersonal skills
  • Advanced degree in Data Science, Statistics, Computer Science or a related field
  • Expertise in data science lifecycle and data modeling
  • Proficiency in SQL, Python and/or R
  • Using databases and big data systems
  • General programming skills a plus, including C/C++, JS and other common languages
  • Collaborating, analyzing, documenting and converging on software design and data modeling in a large group

#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
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

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.

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Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

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