Staff Data Scientist, Operations

Technology Mountain View, California


​​About LegalZoom

We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts.

As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further.

With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions.


Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness.

At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person.

This position will be (remote/or SF Bay Area, LA Metro, and Austin Metro office location/s).


The Data Science team at LegalZoom helps us make measurably better decisions, faster.  We do this through everything from shaping our product strategy to identifying customer behaviors and building new customer experiences.

As a Staff Data Scientist, you’ll tackle many of the existential questions. You will work with Business leaders, Product Managers, Engineers and Operators to improve LegalZoom customer experiences and internal operations. You will think critically and apply statistical methods to solve challenges in these areas. Questions such as how do we optimize the purchase journey? How to design an experience to meet customers where they want to engage and continuously deliver value? Where do we invest in automation and self service?

You will

  • Be a key driver of product strategy by thinking beyond immediate analysis and understanding the long-term implications of actions
  • Perform descriptive and predictive analyses to form hypotheses about how we can grow the business through building better experiences
  • Influence LegalZoom leadership to pursue our hypotheses so that we better serve customers effectively and grow our business 
  • Design and run experiments to test our hypotheses, including defining metrics that enable us to understand product experience
  • Interpret experiment results and use them to drive strategic and tactical recommendations for how to improve our products 
  • Provide insights at scale through building pipelines and dashboards to provide a more complete view of our products 
  • Work closely with Product, Engineering, Operations partners to help them understand the data and form their own hypotheses so we can move faster 
  • Explore, automate, and leverage our data in analyses that will shape LegalZoom products
  • Work with fellow data scientists to continually improve our code and data best practices, prioritizing long-term data hygiene

You have

  • Basic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
  • (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)
  • Advanced SQL expertise
  • Understanding of experimental design (e.g. A/B experiments) and statistical methods (e.g. Bayesian inference)
  • Ability and experience in extracting insights from data, and summarizing learnings / takeaways
  • Product data science or consulting experience
  • Advanced experimentation experience including multivariate and causal analysis
  • Experience working on web analytics (behavioral analytics)
  • Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
  • Solid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)
  • Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones

LegalZoom is a remote-first company and the national range for this role is ($140,000-$228,00). Actual compensation offered will depend on several factors including but not limited to: geographic location, work experience, education, skill level, and/or other business and organizational needs. In addition, an annual bonus, incentive bonus and/or restricted stock units may be provided as part of the compensation package. You will also receive a full range of medical, financial, and other benefits as seen below.

  • Medical, Dental, Vision Insurance
  • 401k, With Matching Contributions
  • Paid Time Off
  • Health Savings Account (HSA)
  • Flexible Spending Account (FSA)
  • Short-Term/Long-Term Disability Insurance
  • Plus other wellness benefits to include:


  Mental Health

  One Medical

  Fringe lifestyle benefits up to $250

Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.