Principal Data Scientist - LifeLock + Norton in Mountain View, CA

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Information Technology   •  

5 - 7 years

Posted 7 weeks ago

We are looking for a hands-on, results-oriented, intellectually curious, self-learning Data Scientist. Our mission is to discover actionable insights (inference, prediction, relationships, etc.) regarding our customers and use that knowledge to improve our products, customer experience, and business performance. Some examples of the work include:

A/B test design and analysis

Single & Multi variate analysis

Population dynamics and survival analysis

Life Time Value analysis

Predictive and regression analysis.


Develop a deep understanding of the business, customers, products, and key metrics to demonstrate a thorough understanding of business performance.

Learn our data model and the underlying physics that it represents.

Translate business problems and questions into analysis requirements and gather data from various sources to complete the analysis.

Produce actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating findings.


An advanced degree and 5 years of experience or a bachelor's degree and a minimum of 7 years of related experience in a quantitative field (MBA, Engineering, Physics, Math, Statistics, Finance, etc.).

Hands-on experience with both qualitative and quantitative analysis (e.g. statistical and predictive analysis, cohort analysis, data mining, rate x volume, financial modeling and forecasting around LTV, ARR, churn, and retention) and A/B testing.

Experience with building complex multi-source data sets and interpreting data to extract insights and demonstrate efficacy and repeatability of analytic findings.

Experience with Statistical Programming using Python and Analytics Notebooks such as Jupyter or Databricks

Hands-on experience with Tableau (or comparable tool) to create visual data presentations.

Superior skills with SQL to extract data.

Highly skilled in Excel (pivot tables, advanced functions, statistics).

Effective communication and alignment with partners including peers, technical resources, and senior leaders, using strong written and verbal communication skills.

A desire to experiment with, explore, and organize data to deliver significant business narratives.

Self-motivated and directed individual, solid team player, self-learner, and problem-solver with a passion for delivering actionable insights to key partners.

Prior work experience on an analytics team in a fast-paced business environment.