Offer summary

Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field; Master’s degree preferred., 2-3 years of professional experience in data science, predictive modeling, and statistical analysis., Proficiency in Python or R for statistical modeling and data analysis., Strong SQL skills for data extraction, transformation, and loading..

Key responsibilities:

Design, develop, and deploy predictive models to enhance decision-making and improve healthcare outcomes.

Conduct in-depth statistical analyses to derive actionable insights from complex datasets.

Collaborate with cross-functional teams to identify business needs and opportunities for analytical solutions.

Translate analytical findings into clear, actionable recommendations for stakeholders.

Job description

Meet knownwell, weight-inclusive healthcare for all. Join a dynamic company that is changing the way care is delivered for patients with obesity. knownwell is a weight-inclusive healthcare company offering metabolic health services, primary care, nutrition counseling and health coaching services for anyone of any size. Our hybrid model allows for both in-clinic and virtual care to bring support to patients where and when they need it. To learn more about our recent Series A funding, led by Andreessen Horowitz, please check out this article.

We are looking to build our team with a Data Scientist, reporting into our Head of Analytics. You will be responsible for supporting our team’s efforts in building both statistical and predictive models that help us identify trends and better operate our business.

Responsibilities:

Design, develop, and deploy predictive models to enhance decision-making and improve healthcare outcomes.

Conduct in-depth statistical analyses to derive actionable insights from complex datasets.

Collaborate with cross-functional teams to identify business needs and opportunities for analytical solutions.

Leverage Python or R to build statistical and machine-learning models tailored to business requirements.

Deploy and maintain models in production environments using AWS cloud services.

Optimize model performance through rigorous testing, validation, and ongoing maintenance.

Translate analytical findings into clear, actionable recommendations for stakeholders.

Continuously stay current with new methodologies and technologies relevant to data science.

Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field; Master’s degree preferred.

2-3 years of professional experience in data science, predictive modeling, and statistical analysis.

Proficiency in Python or R for statistical modeling and data analysis.

Strong SQL skills for data extraction, transformation, and loading.

Experience with AWS cloud services for deploying models into production (e.g., AWS SageMaker, Lambda, EC2, S3).

Proven track record of building, validating, and deploying predictive models.

Excellent analytical, problem-solving, and communication skills.

Ability to work independently and collaboratively within a dynamic team environment.

We offer a comprehensive benefits package (Medical, Dental, Vision, 401k match, PTO), competitive salary and the opportunity to be part of a purpose-driven organization that is dedicated to making a positive impact on the lives of patients. If you are an ambitious and experienced clinician who is passionate about transforming healthcare and creating meaningful change, we invite you to apply and join our dynamic team. Please send us a note at hiring@knownwell.health.

knownwell, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Based on current size of the clinic and HIPAA regulation, providers cannot receive care in clinic and provider’s household members cannot receive primary care in the clinic.

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