Senior Data Scientist

  • Location: Remote United States
  • Department: Engineering
  • Work Status: Full-time

Overview

Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs?

Relativity's scale and scope create tremendous variety for rich data exploration and insights; our market position and scaled products mean our latest and greatest models and insights can quickly be in the hands of our users. If you're looking for a data rich environment that is already using AI, with at-scale challenge and a ton of new ideas and experimentation ahead, you will find yourself at home on the AI data science team within Relativity. The team is growing fast; you'll have a huge impact in shaping the culture, best practices, and vision of how machine learning and AI are used at Relativity. You'll have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for Relativity on an ongoing basis. We are looking for collaborative builders who want to move fast and love a challenge.

The Senior Data Scientist will develop machine-learning-inspired products for the eDiscovery and Financial Compliance industries in close collaboration with product leaders and engineers. You will use your experience in NLP to build models that help legal and compliance professionals organize data, discover the truth, and act on it. Relativity is investing in AI -- you will shape the culture, best practices, and vision of how machine learning and AI are used at Relativity. Relativity is also the market leader in eDiscovery. Products you build will shape the future of global justice. You will have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for empowering our customers, such as Dask, Spark, PyTorch, TensorFlow, SpaCy or AllenNLP.

Your Role in Action

  • Develop machine-learning models and algorithms to be released as new product features.
  • Work with engineers to develop production-level code and contribute to the entire deployment lifecycle.
  • Help develop internal standards, processes and tooling for a new data science team.
  • Work with Product to assemble datasets for evaluation and model building..

Your Skills

  • A Master's Degree in information retrieval, natural language processing, or a related discipline, AND 2 years of relevant industry experience OR a Ph.D. in information retrieval, natural language processing, or a related discipline OR the equivalent of 5 years of relevant academic/industry experience.
  • Experience building and deploying natural language processing models
  • Proficient in programming and scripting in a language such as Python.
  • Comfortable with command-line tools in UNIX environments.
  • Use inclusive language whenever possible, communicate data science concepts to colleagues of all backgrounds, use technical vocabulary judiciously and with intention

About Relativity

Why Relativity?

Relativity is currently at a stage where we are looking for builders, not just operators. We have the capability to grow the business dramatically over the next 5-10 years and we need individuals to join our team to collectively propel us forward. We have a workplace where everyone can belong and we invest in our people so career progression inside or outside Relativity can be a reality. If this sounds like a place where you would like to be, we look forward to welcoming you.

Benefit Highlights:
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Unlimited time off
Equity program
Training investment program

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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