Remote AI & NLP Data Scientist Extern

betterhelpcom; United States; Remote; USD 55,000 - 83,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

Vision coverage

Retirement plan with employer matching

Wellness resources

Equipment and software support

Job summary

BetterHelp is seeking a data science/ML-focused role to improve a digital mental health product. You’ll work on large text datasets, language model development, and partnering with product teams to drive business decisions.

Remote across time zones with occasional travel for in-person gatherings, with compensation influenced by location and experience. The role emphasizes training and deploying models, NLP and LLM coursework, and strong communication to explain complex ideas to nontechnical

Qualifications

• PhD student or recent graduate in a quantitative field (CS/Stats/Math/OR/Engineering).
• Coursework in natural language processing and large language models.
• Strong knowledge of neural networks, deep learning, and generative AI; familiarity with reinforcement learning.

Responsibilities

• Fine-tune and retrain language models to meet product needs.
• Partner with product and engineering teams to design ML models and algorithms.
• Analyze text and other large datasets to identify patterns and inform product, marketing, and business decisions.
• Develop predictive and causal models, and translate findings into practical recommendations.
• Write production-ready code and work with DevOps/ML Ops to deploy models.
• Write and optimize SQL queries, and communicate findings to nontechnical partners.

Skills

Neural networks

Deep learning

Generative AI

NLP / LLMs

PyTorch / TensorFlow

Communication

Education

PhD in a quantitative field

Tools

PyTorch

TensorFlow

Job description

BetterHelp is seeking a data science/ML-focused role to improve a digital mental health product. You’ll work on large text datasets, language model development, and partnering with product teams to drive business decisions.

Remote across time zones with occasional travel for in-person gatherings, with compensation influenced by location and experience. The role emphasizes training and deploying models, NLP and LLM coursework, and strong communication to explain complex ideas to nontechnical