What are the responsibilities and job description for the Data Scientist / ML Specialist position at Mira?
Mira is a San Francisco-based hormonal health company providing integrative care and hormonal testing for over 92,000 customers. In 2023, they were recognized by Inc. 5000 as America's fastest-growing femtech company. We started our company to help women and individuals reach their parenthood dreams and make their fertility journey smoother.
Mira’s most important breakthrough was inventing the market's only FDA-compliant at-home fertility monitor with quantitative technology. Since the beginning, they have been on a mission to develop data-driven hormonal health solutions to help women make confident health decisions during every stage of their lives—from the menstrual stage to menopause. Mira offers solutions to test, boost, and navigate fertility—starting from comprehensive hormone testing and supplements to fertility coaching and online courses.
We are committed to helping our customers achieve the highest possible success rates and outcomes; that is why our focus is on personalized care, the use of the most cutting-edge technology, and science-backed data.
About the position
We seek a Data Scientist / ML Specialist for a 3–6 month engagement to upgrade our core product algorithms. This project requires integrating collected data and dynamic modeling techniques to enhance the precision and reliability of predictions. The contractor will collaborate closely with product, medical and engineering teams to deliver practical, production-ready solutions.
If you want to challenge yourself at a high-growth startup and make a difference for women's health, please join us!
Responsibilities
- Data Collection & Preprocessing
- Implement function-based or semi-supervised labeling strategies to create training data for recurring events.
- Build and refine predictive models for recurring events and models for confirmation of the events.
- Design personalized features (historical patterns, user clustering) for better model adaptability.
- Incorporate user demographics and additional data reported by users where appropriate to increase accuracy of the algorithm.
- Iterative Testing & Validation
- Compare new models against baseline metrics and optimize algorithms based on real-world feedback.
- Conduct A / B testing or controlled rollouts for final validation.
- Integration & Documentation
- Collaborate with backend engineers to ensure efficient model deployment and data flow.
- Maintain clear technical documentation for data transformations, model decisions, and performance outcomes.
Requirements
Minimum 3 years of experience in data science or machine learning, with a focus on time-series or biological data.
Details
What we offer
Application Process
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