Lead Data Scientist - NLP

November 8

Apply Now

Receive Emails with Similar Jobs

Socure

WebsiteLinkedInAll Job Openings

Fraud Detection • Anti-Money Laundering • Document Verification • Know Your Customer • Identity Verification

501 - 1000

Description

• Lead the design, development, and deployment of advanced NLP models for name matching, address matching, and entity resolution. • Utilize deep learning, machine learning, and statistical techniques to build scalable solutions that improve the accuracy and efficiency of our global watch list production within our identity verification product suite. • Collaborate closely with product managers, engineers, and other data scientists to define requirements and deliver robust models that meet business needs. • Conduct research and stay up-to-date with the latest advancements in NLP, deep learning, and AI to continually improve our models. • Mentor and guide junior data scientists, fostering a culture of innovation and excellence within the team. • Analyze and interpret complex data sets to provide actionable insights and recommendations to stakeholders. • Ensure all NLP solutions are scalable, maintainable, and adhere to industry best practices in terms of data privacy and security.

Requirements

• Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Applied Mathematics, or a related field with a strong focus on NLP and machine learning. • 5+ years of experience in data science with a focus on NLP, deep learning, and entity resolution. • Proven track record of leading NLP projects from concept to production in a fast-paced environment. • Strong proficiency in programming languages such as Python, C++. Python is a must. • Extensive experience with NLP libraries and frameworks such as spaCy, Hugging Face, NLTK, or similar. • Familiarity with deep learning frameworks such as PyTorch. • Excellent problem-solving skills and the ability to think critically and creatively. • Strong communication skills, with the ability to present complex ideas to technical and non-technical audiences.

Benefits

• Competitive salary and benefits package. • Opportunity to work with a talented team of professionals who are passionate about solving complex problems. • A dynamic and inclusive work environment that values diversity and fosters innovation. • Opportunities for career growth and development in a fast-growing company.