Data Scientist - Remote

Job description

Role Overview

This role is for a data scientist that would focus in 3 main parts: (1) Insight generation/deep dive analysis in product growth analytics (2) AB testing and measurement and (3) Predictive modeling, statistics, machine learning, data mining and other data nalysis techniques to collect explore and extract insights from structured and unstructured data.

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

About The Role

  • Provide actionable insights via product analytics, machine learning, and A/B testing to improve customer experience and optimize business outcomes.
  • Assist product & other stakeholder teams in developing methodologies/framework to assess and measure impact of our business strategy.
  • Partner cross-functionally with product, engineering & other stakeholders to communicate insights and influence their decision-making.
  • Analyze user journey and product funnel to optimize user experience with McAfee products.
  • Work with experimentation data scientists to design and execute A/B testing.
  • Isolate, identify and communicate data issues and own data quality for the analyses and reports produced.
  • Monitor and analyze data reports/dashboards/pipelines and do root cause analysis & troubleshooting of issues that arise.
  • Assists business with casual inferences & observations with finding patterns relationships in data.

About You

  • 2-5 years of industry experience in data science and analytics.
  • Self-motivated, responsible, collaborative, and accountable.
  • Ability to develop confidently in SQL and Python.
  • Experience and knowledge with the design and analysis of A/B testing.
  • Experience and knowledge with machine learning techniques to improve customer experience and optimize business outcomes.
  • Previous product analytics experience where telemetry data was used to understand how customers interacted with a product or service, which features were most used, and what experiences led to customer friction or trouble.
  • Experience with causal inference methods, such as difference in difference, matching, regression discontinuity designs, instrumental variables, including an understanding of different treatment effects.

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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