Manager, Data Science

LinkSquares

Boston, MA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Technology
  • Post Date: 09/08/2021
  • Website: linksquares.com
  • Company Address: 1 Lincoln Street 28th Floor , Boston, MA 02111

About LinkSquares

The AI-Powered Contract Analytics Cloud

Job Description

LinkSquares is the only end to end AI powered contract lifecycle management platform helping legal teams write better contracts, analyze what’s in existing contracts, and work better with their team. As the Manager, Data Science, you will lead and grow a team of experienced and dedicated data science engineers in a fast-paced, entreprenurial environment. We are looking for a smart, personable and dedicated machine learning leader to help us reach the next level of innovation. The ideal candidate will have a strong technical understanding of machine learning and have experience leading a DS/ML team. You will leverage that experience to grow the team and scale up the data processing capabilities of our system while reporting directly to the CTO and working with the technical leadership team.

Key responsibilities:

  • Manage and grow a team of Data Scientists and Machine Learning Engineers
  • Supervise the research and development of new methodologies for information extraction and contract evaluation
  • Communicate with external and internal entities
  • Drive best practices on the team; mentor and guide team members to achieve their career growth potential

Requirements:

  • PhD or Master's Degree in a technical/related field
  • 4+ years of industry experience
  • 1+ years of people management experience
  • Strong analytical skills
  • Experience managing data pipelines
  • Experience working with software development teams and taking models to production
  • Experience managing business stakeholders across organizations
  • Excellent communication skills

Nice to have:

  • Experience with NLP/NLU and information retrieval
  • Experience with computer vision models
  • Experience growing a small team

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