Machine Learning / Data Science Analyst

Job description

Posted on: 
August 17, 2021

Signos is on a mission to tackle the obesity epidemic via healthy habits, metabolic signals, and AI. Using a continuous glucose monitor, Signos is powering data-driven weight loss by translating an individual’s metabolic signals into timely recommendations for eating, exercise, and better health. With over 75% of the American population overweight or obese, Signos provides a new way for people to act on their body’s unique response to what they eat. By making micro changes to people’s everyday routines, we can improve health and kickstart weight loss. The executive team is led by two successful repeat entrepreneurs, an excellent technical leader, a data scientist who wrote an NYT bestseller on consumer behavior, and a Stanford Medical School professor, and they’re just getting started.


We are looking for a machine learning and data science professional with a growth mindset. You will be part of our ML team that builds end-to-end machine learning pipelines using deep learning as well as traditional statistical learning techniques

  • Analyze, process, validate complex data sets from multiple sources such as continuous glucose monitors (CGM), wearable devices, exercise equipment sources
  • Understand and interpret trends and patterns in the data
  • Research and prototype machine learning models, both supervised and unsupervised
  • Ship models to production
  • Continuously improve the models’ performance through a robust ML/MLOps cycle

Job requirements

  • BS in Computer Science, Mathematics, or a related quantitative field
  • 2+ years of experience manipulating data sets and building ML models
  • Proficiency in Python, data structures, and algorithms
  • Experience in modern ML techniques including deep learning. TensorFlow experience is preferred
  • Familiarity with distributed systems is a plus:  MongoDB, Cassandra, Spark, Redis, AWS ecosystem
  • Excellent communication skills
  • Adaptable, humble, and interested in pushing the boundaries of what's possible


  • Competitive salaries, fully covered medical, dental, and vision insurance 
  • Fully covered access to the Signos system including CGM and app access
  • MacBook Pro
  • Equity participation
  • A flexible vacation policy
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Signos is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, national origin, ancestry, sex, age, mental or physical disability, pregnancy, sexual orientation, gender orientation or expression, marital status or veteran status, or any other legally protected characteristic under applicable federal or state law.

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