Data Scientist - Ops & Finance
Remote or San Francisco, CA
Hazel Health is the nation's largest virtual provider of school-based healthcare services, and has been recognized by Fast Company as “one of the world’s most innovative places to work” in 2023.
By partnering with districts and health plans across the country, Hazel transforms schools into the most accessible front door to physical and mental healthcare. Today, Hazel's diverse team of licensed providers deliver therapy and medical services virtually (in school or at home) to over four million K-12 students — regardless of their insurance status or ability to pay. Hazel aims to remove all barriers to the mental and physical health care that children need to thrive: in school, at home, and in life.
Helping students and their families feel better takes a team of smart, dedicated people. As an integral member of the Hazel team, you will…
- Make an Impact: Work with a team that is increasing equitable access of quality health care experiences for students and their families
- Enable Scale: Work with a team that is building and professionalizing a high growth high impact social enterprise
- Feel Valued: Work with a team that is being compensated competitively, developed professionally, and celebrated frequently for making a meaningful difference
Check us out at Hazel Health Careers.
The Role: Data Scientist - Operations & Forecasting
Location: Remote
About This Role:
As a Data Scientist at Hazel Health, you will play a crucial role in our data-driven growth strategy through the effective development of forecasting and classification models to help improve our abilities to predict where demand will grow for our services and to gain more insights from our data on how to transform our clinical programs. You will work closely with cross-functional teams to develop and implement scalable and reliable models and present findings generated by the models to stakeholders who can then take action. This role will be a blend of problem discovery, model building, presenting, iterating, and implementing models in production and monitoring the models. This is a technical data role with a strong preference for healthcare and workforce acumen.
What You’ll Do:
- Develop and refine forecasting models to predict demand growth for healthcare services.
- Build and implement classification models to extract actionable insights from clinical data.
- Collaborate with cross-functional teams, including clinicians, product managers, and …
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Competitive compensation Healthcare coverage Other benefits Other benefits and perks Paid Time Off Professional development
Tasks- Collaborate with cross functional teams
- Data Analysis
- Develop forecasting models
Classification CNNs Data analysis Data Science Finance Forecasting Growth Strategy Healthcare Healthcare services Logistic Regression NLP Operations Performance Prophet Python PyTorch R Research Scikit-learn SQL Strategy TensorFlow
Experience5 years
EducationBusiness DO Finance Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9