McAfee
McAfee is a worldwide leader in online security solutions, focused on protecting people rather than just devices. The company offers adaptive solutions that empower users to confidently engage with life online through integrated, easy-to-use technologies. McAfee is dedicated to transforming online security for families and households globally, ensuring privacy and identity protection. With a strong emphasis on inclusion and innovation, McAfee fosters a culture where diversity is valued, and employees are encouraged to bring their unique strengths to the table.
Data Scientist - Product - Remote
March 6
McAfee
McAfee is a worldwide leader in online security solutions, focused on protecting people rather than just devices. The company offers adaptive solutions that empower users to confidently engage with life online through integrated, easy-to-use technologies. McAfee is dedicated to transforming online security for families and households globally, ensuring privacy and identity protection. With a strong emphasis on inclusion and innovation, McAfee fosters a culture where diversity is valued, and employees are encouraged to bring their unique strengths to the table.
📋 Description
• 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
🎯 Requirements
• 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
🏖️ Benefits
• Bonus Program • Pension and Retirement Plans • Medical, Dental and Vision Coverage • Paid Time Off • Paid Parental Leave • Support for Community Involvement
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