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?
The Senior Data Scientist will develop machine-learning-inspired products for the e-Discovery and Financial Compliance industries in close collaboration with product leaders and engineers. You will use your experience in NLP to build models involving big data and privacy concerns.
Relativity is investing in AI — you will shape 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, such as 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.
5 years of data science experience in a business setting, OR 3 years of data science experience in a business setting with data science education (e.g., advanced degree, certifications, coursework, bootcamp, or mentored projects).
Implemented and deployed machine-learning models that realized material business impact, and contributed to the entire lifecycle of the models from data acquisition to model monitoring and updating.
Experience solving problems in NLP, such as: text segmentation, text classification, conceptual similarity metrics, entity extraction, transfer learning, cross-lingual transfer, natural language generation.
Experience building and deploying machine-learning models on a cloud platform such as AWS, GCP or Azure.
Proficient in object-oriented programming and scripting in a language such as Python.
Comfortable with command-line tools.
Use inclusive language whenever possible, communicate data science concepts to colleagues of all backgrounds, and use technical vocabulary judiciously and with intention
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.
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
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.