McAfee

www.mcafee.com

3 Jobs

5,662 Employees

About the Company

We're creating what's next in online protection. As technologists, creatives, and people who thrive on looking forward, we make life online safe, so everyone can enjoy it with confidence--in all the ever-shifting forms it will take.

Just as life online is full of possibility, life at McAfee is as well. You'll have the freedom to explore challenges, take smart risks, and reach your potential in one of the fastest-growing industries in the world--backed by a team that supports and inspires you.

Listed Jobs

Company Name: McAfee
Job Title: AI Training Data Acquisition Analyst
Job Description: **Job Title:** AI Training Data Acquisition Analyst **Role Summary:** Process, clean, and label data for AI models that detect scams and deepfakes. Extract data from diverse sources, apply rigorous quality checks, and collaborate with data scientists and engineers to supply high‑quality training sets for machine learning pipelines. **Expectations:** Provide accurate, high‑volume labeled data; maintain data integrity; communicate findings to stakeholders; stay updated on AI and data‑science advances; work independently and in cross‑functional teams. **Key Responsibilities:** - Apply labels and annotations to raw data for AI training. - Perform data cleaning, validation, and transformation using Python or comparable languages. - Extract and integrate data from databases, APIs, and web‑scraping pipelines. - Create visualizations and documentation of data quality and insights. - Collaborate with data scientists and engineers to support model development and experimentation. - Keep abreast of emerging tools, techniques, and industry trends. **Required Skills:** - Proficiency in Python (or Node, similar) for data manipulation and scripting. - Strong data‑organization habits, meticulous attention to detail. - Experience with data cleaning, validation, transformation, and extraction from varied sources. - Comfort with APIs, databases, and web‑scraping. - Ability to create clear visualizations and concise reports. - Excellent written and verbal communication; presentation skills. - Bilingual proficiency in English and Spanish preferred. **Required Education & Certifications:** Bachelor’s degree (or higher) in Computer Science, Data Science, Statistics, or a related technical field. (No specific certifications required.)

San jose, United states

Hybrid

26-11-2025

Company Name: McAfee
Job Title: Data Scientist
Job Description: **Job Title** Data Scientist – Product Analytics **Role Summary** Lead the end‑to‑end analytics lifecycle for a consumer security product family, delivering data‑driven insights and experimentation outcomes that shape product strategy and improve user experience. Serve as a technical champion, mentor junior analysts, and collaborate cross‑functionally to translate analytic findings into actionable business decisions. **Expectations** - 5–8 years of professional data science or product analytics experience. - Demonstrated success in causal inference and A/B testing. - Proficient in Python, SQL, and data visualization; capable of building and deploying ML models. - Strong communication skills to influence stakeholders at all levels. - Ability to mentor and promote best practices within a team. **Key Responsibilities** - Design, execute, and analyze A/B tests to quantify impact on engagement, retention, and satisfaction. - Conduct deep‑dive analyses of user journeys, feature adoption, and product funnels to uncover growth opportunities. - Build and deploy predictive models that forecast behavior, personalize experiences, and reduce churn. - Ensure high‑quality telemetry data and reliable pipelines by partnering with engineering and data platform teams. - Translate analytic insights into clear visual narratives for product and executive stakeholders. - Mentor junior data scientists and analysts, fostering expertise in experimentation design, causal inference, and storytelling. **Required Skills** - Causal inference methods (difference‑in‑differences, matching, regression discontinuity, instrumental variables). - A/B testing design, implementation, and interpretation. - Python (pandas, scikit‑learn, statsmodels) and SQL. - Data visualization tools (Power BI, Tableau, or Looker). - Experience with product telemetry data and user engagement metrics. - Machine learning model development, deployment, and monitoring. - Strong problem‑solving, communication, and collaboration abilities. **Required Education & Certifications** - Bachelor’s or Master’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field (preferred). - Relevant certifications (e.g., Google Cloud Data Engineering, AWS Certified Machine Learning) are a plus but not mandatory.

Company Name: McAfee
Job Title: Software Development Engineer
Job Description: Job Title: Software Development Engineer Role Summary: Develop and maintain cloud‑based privacy‑focused solutions on AWS. Apply Go, Linux, and AI‑enhanced development practices to deliver secure, high‑performance software that protects user privacy while ensuring optimal customer experience. Expectations: * Demonstrate end‑to‑end software development lifecycle competence. * Quickly adopt new technologies, including AI/LLM tools, to improve productivity. * Uphold rigorous quality and security standards in all deliverables. * Contribute actively to an agile development team and product strategy. Key Responsibilities: * Design, implement, and debug cloud services using Go, Linux, AWS, Docker, Git, and Postman. * Build cost‑efficient, high‑performance infrastructure on AWS. * Develop detailed design specifications, test plans, and performance guidelines. * Automate testing through comprehensive, well‑structured test cases. * Research and prototype innovative solutions to complex technical challenges. * Deploy and manage server‑side applications on AWS within a continuous delivery pipeline. Required Skills: * 2–5 years of Go development experience. * Proficient in Go tooling, Linux scripting, debugging, and troubleshooting. * Strong grasp of cloud engineering principles, AWS services, and Linux‑based environments. * Experience with network protocols, cloud architecture, and security best practices. * Familiarity with CI/CD, test‑driven development (TDD), and automated testing. * Knowledge of AI/LLM technologies and AI‑enhanced development workflows. * Hands‑on experience with Docker, Git, Postman, and AWS platform deployment. Required Education & Certifications: * Not explicitly specified; relevant experience in software development and cloud engineering is required.