Senior ML Data Scientist - Women’s Health

Description

The company makes a smart ring and companion app that help people track readiness, activity and sleep, with daily insights and practical next steps.

It is a fast-growing company, and the team wants people to live healthier, happier lives.

This senior role sits on the Women's Health team. You will help build and bring to market machine learning models that use wearable health data to improve women's health. You will lead complex projects, mentor junior colleagues and help shape the team's technical direction.

Responsibilities

• Help build and ship machine learning pipelines and models for new Women's Health features, with a focus on time-series work and strong validation.
• Take models and algorithms through to commercial products, working with scientists, product managers, software developers, designers and test engineers.
• Run careful statistical analyses to assess and monitor model performance, turning the results into insights for product decisions.
• Explore new health sensing features, turning proof-of-concept ideas into scalable products.
• Help define machine learning best practices for the Women's Health team.
• Explain complex technical ideas to audiences with varied backgrounds.

Requirements

• Hold a PhD in biomedical engineering, electrical engineering, biostatistics, computer science or a related field, along with 3+ years of industry experience in machine learning and data science.
• Have 5+ years of advanced programming experience in Python and SQL.
• Have broad experience with machine learning and statistical modelling, including deep learning, time-series analysis and signal processing.
• Have taken machine learning models and algorithms through the full cycle of development and commercialization.
• Communicate clearly, explaining complex ideas to both technical and non-technical people.
• Be self-starting and motivated, with a practical, can-do approach and a focus on delivery. You move fast and set priorities well.
• A significant plus: solid knowledge of women's health and experience with wearable health data.

Conditions

This is a remote role based in the US, with a slight preference for candidates in San Francisco, San Diego or Boston.

Candidates living in Alaska, Delaware, Iowa, Mississippi, Nebraska, South Dakota, West Virginia or Wisconsin are not being considered.

Pay follows a market-based approach that may differ by location. US locations are grouped into tiers using a labor cost index for each area. Most offers land nearer the start of the range, and final pay depends on job-related skills, experience, qualifications, work location, internal peer equity and market conditions. Ranges may change.

Competitive base salary. Region 1 pay: $172,550 - $203,000. Region 2 pay: $158,950 - $187,000. Region 3 pay: $147,900 - $174,000. A recruiter confirms your region from your US location.

The company welcomes applicants of every background and does not tolerate discrimination or harassment based on any protected characteristic.

Benefits

• Equity package.
• Health, dental and vision insurance, plus mental health resources.
• A smart ring of your own, plus employee discounts for friends and family.
• 20 days of paid time off, 13 paid holidays and 8 days of flexible wellness time off.
• Sick leave and parental leave, both paid.