Data Science Extern

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As a Data Science Extern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

BetterHelp is looking for a Data Science Extern to help us scale and increase our impact. You will use data to drive insight into the product and business. The ideal candidate would have experience/exposure to analyzing large and complex data sets related to web products. You'll be doing plenty of data wrangling and post-hoc analysis, both to support product improvements, marketing efficiency, and business decisions.

• Language Model Optimization: Engage in the refinement and enhancement of language models, including fine-tuning and retraining to meet specific requirements.
• Cross-Functional Collaboration: Actively collaborate with the product and development teams to conceptualize and design effective machine learning models and algorithms tailored to our products' needs.
• Product Enhancement Partnership: Work closely with product managers, initiating and implementing proactive strategies to elevate the functionality and user experience of our products.
• Data Handling Expertise: Handle extensive text data, demonstrating proficiency in managing, analyzing, and deriving insights from large datasets.
• Coding for Production: Develop and maintain production-ready code, ensuring robustness and efficiency. Collaborate with the DevOps and ML-Ops teams to integrate machine learning models seamlessly into production environments.
• Database Proficiency: Write and optimize SQL queries, showcasing your ability to interact with and manipulate databases effectively.
• Team Dynamics and Impact: Thrive in a team-oriented environment, contributing positively to the team spirit. Enjoy a fun and dynamic work culture while taking pride in developing a world-class product that significantly impacts people's lives

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

• Currently enrolled in or recently graduated from a PhD program in a quantitative discipline such as Computer Science/Engineering, Statistics, Mathematics,Operations Research, or Engineering
• Completed coursework in NLP and LLM
• Deep understanding of neural networks and deep learning and generative AI
• Familiarity with reinforcement learning
• Experience building predictive models and causal inference models
• Familiarity with generative AI
• Experience analyzing large and complex data sets
• Experience using tools like Pytorch(preferably) or Tensorflow
• Excellent communication skills, with the ability to simplify complex topics and communicate technical ideas to non-technical audiences