Data Science Extern

betterhelpcom; USA; Remote; USD 55.000 - 83.000; Vollzeit

Benefits dieser Stelle

Health insurance

Dental coverage

Vision coverage

Retirement plan with employer matching

Wellness resources

Equipment and software support

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Neural networks

Deep learning

Generative AI

NLP / LLMs

PyTorch / TensorFlow

Communication

Ausbildung

PhD in a quantitative field

Tools

PyTorch

TensorFlow

Jobbeschreibung

Role overview

Use data science and machine learning to improve a digital mental health product and inform business decisions. The role combines analysis of large, complex datasets with language model development, product collaboration, and work to bring models into production.

Responsibilities

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

Requirements

• Currently enrolled in or recently graduated from a PhD program in a quantitative field such as computer science, statistics, mathematics, operations research, 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.
• Experience building predictive and causal inference models and analyzing large, complex datasets.
• Experience with PyTorch or TensorFlow.
• Strong communication skills, including the ability to explain complex technical ideas to nontechnical audiences.

Benefits and work setup

• Remote work across time zones, with work aligned to Pacific Time. Occasional travel for in-person team gatherings is expected, with travel costs covered.
• The listing states an hourly base range of $40–$60; it notes that total compensation varies by factors such as location, education, and experience.
• Benefits include health, dental, and vision coverage, a retirement plan with employer matching, wellness resources, and support for work equipment and software.