Senior Data Scientist, Evisort
NLP
AI-powered contract management
Job no longer available
AI-powered contract management
101-200 employees
Job no longer available
101-200 employees
Company mission
To help the business world make and keep its promises with connected data.
Role
Who you are
- 3+ years of ML experience in the industry, startup experience is a plus
- 3+ years working with deep learning in NLP, additional experience with Computer Vision is a plus
- Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
- Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch)
- Experience using distributed processing architecture and ML/ Data platforms (e.g., AWS Sagemaker, Databricks, Spark, Kubeflow, etc); building experience is a plus
- Ability and motivation to stay up to date with the very fast-moving NLP space
- Able to communicate results clearly to non-technical audiences with a focus on driving impact
- A strong team player but still a self-starter who thrives in a fast-paced, high-growth startup environment
- Someone who flourishes when given responsibility and a sense of ownership
- BA/BS degree or higher from an accredited university
What the job involves
- Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform
- Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction
- Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment
- Stay up to date with emerging technologies in GenAI/LLM field and recommend improvements to existing models/ designs
- Own design, implementation, and deployment of your models and see them deliver business impact
- Mentor other team members and continuously further the Data Science organization
- Guide design, architecture, tooling, and processes at the organization level
Our take
Compliance and company operations demand a significant amount of a company's attention. When managing contracts, manually tracking the data inside can be a time-consuming and somewhat tedious task.
Evisort harnesses artificial intelligence to create software that helps businesses organize, understand, and extract data from their contracts and documents. It ensures the manual but essential processes around deal-making are automated, so that contracting teams can use their time to focus on other aspects of their work. Offered as a monthly subscription its SaaS is designed for businesses of all sizes, from fast-growing startups to Fortune 500s.
Co-founder and CEO, Jerry Ting wants Evisort to be a household name in legal documents for artificial intelligence by 2030. However, the contract management software market, which is expected to be worth $3 billion by 2027, is fiercely competitive. In addition to the likes of DocuSign and SAP, Apttus (US) is also a highly innovative rival utilizing AI technology. Nonetheless, Evisort is well positioned following 2022 funding accelerating its global growth and several high-profile awards wins from the likes of Business Intelligence Group and Gartner Peer Insights in 2023.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-12% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2022
$100m
SERIES C
Feb 2021
$35m
SERIES B
Total funding: $155.6m
Company benefits
- Flexible PTO
- Medical, Dental, & Vision Coverage
- Remote First
- Holiday Shutdown
- Employee Wellness
- Team Bonding Events
Leadership
Jerry Ting
(CEO)Former Board Member at Harvard association for Law and Business. Former Account Executive at Yelp. J.D at Harvard School of Law.
Jake Sussman
(Chief Operating & Product Officer)Former Management Consultant at The Boston Consulting Group. J.D at Harvard School of Law.
Amine Anoun
(CTO)Former Data Scientist at Uber and Member of Forbes Technology Council. MSc in Operations Research Centre at MIT.
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