Senior Data Scientist
Confirmed live in the last 24 hours

201-500 employees

Advanced ediscovery technology for legal teams
Company Overview
Everlaw stands out as a leading company in the legal tech industry, providing advanced ediscovery technology that assists legal teams in navigating complex litigation and investigations. The company's culture is centered around creating elegant software solutions that allow legal professionals to focus on substantive work, with a commitment to rapid release cycles and user-friendly design. Everlaw's dedication to speed, security, and ease of use, coupled with a strong customer success strategy, positions it as a trusted partner to litigators, corporate counsel, and government attorneys.
AI & Machine Learning

Company Stage


Total Funding





Oakland, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Oakland, CA, USA
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data Science
Data & Analytics
  • We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals
  • We're excited for you to learn, grow, and contribute right away! We trust that you'll bring experience and knowledge that will uplift and uplevel the team, but we don't expect you to know everything on Day 1
  • At least 5 years of experience as a Data Scientist or similar role or at least 3 years of experience and a MS/PhD in a quantitative field
  • Expertise in a scientific computing language such as Python, R, or Julia
  • Expertise in SQL and wrangling data on a relational database
  • Strong foundation of statistical methods and probability theory
  • Track record in working directly with stakeholder teams to apply data science methodologies against ambiguous business problems, such as but not limited to: shipping predictive models, designing new metrics, and presenting exploratory research
  • Excellent communication and presentation skills, especially in translating ambiguous business requirements into an analysis plan
  • Deep curiosity around product and the business, including a track record of building strong product expertise as a data scientist
  • You are authorized to work in the United States without current or future employer immigration sponsorship
  • Experience working with common open source analytics tools such as Airflow or DBT
  • Experience working with distributed processing technologies such as Spark or MapReduce
  • Familiar with Git or a similar DVCS
  • Comfort working in a cloud environment, such as AWS
  • Become product certified! You will learn the ins and outs of the Everlaw platform through a series of training modules
  • Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification
  • Design metrics that are faithful and precise, while helping the business understand how to drive those metrics
  • Create predictive models in order to better understand user/business behavior, forecast future performance, and create meaningful classification
  • Surface reusable datasets as a way to operationalize your analytical research and provide building blocks for other data scientists to leverage
  • Propose and prototype novel ways to leverage different datasets in our environments
  • Collaborate with other analysts and data scientists in order to share knowledge, set best practices, and develop general frameworks around how we approach our common analytical questions