Analyst, Data Science
What We Strive For
Strive Health is built for purpose — to transform a broken kidney care system. We are fundamentally changing the lives of people with kidney disease through early identification, engagement and comprehensive coordinated care. Strive’s model is driven by a high-touch care team that integrates with local providers and spans the entire care journey from chronic kidney disease through end-stage kidney disease, leveraging comparative and predictive data and analytics to identify at-risk patients. Strive Health’s interventions significantly reduce the rate of emergent dialysis crash, cut inpatient utilization and significantly improve patient outcomes and experience. Come join our journey as we create THE destination for top talent in the healthcare community and set a new standard for how kidney care should be done.
Why We’re Worth the Application
- We Strive for excellence and Strive has been recognized with six Best Place to Work awards, including Forbes America’s Best Startup Employers 2023 and 2022, Built In Colorado’s Best Places to Work 2022 and 2024, Comparably’s Best Places to Work in Denver 2022 and The Tech Tribune’s Best Startups in Denver 2022. Additionally, Strive’s CEO, Chris Riopelle, has been recognized as one of Denver Business Journal’s Most Admired CEOs.
- We derive innovation and ideas from through authentic diversity intentionally building a team that represents the populations we serve in partnership with our Employee Resource Groups:
- Strive Forward - LGBTQ
- Underrepresented Minorities
- Women and Allies
- We care and support our Strivers within and beyond work to feel fully charged and empowered through our generous wellbeing offerings including:
- Flexible time off
- Companywide wellbeing days
- Volunteer time off
- Leave packages including a sabbatical, parental leave and eight weeks paid for living donor
- Professional development
- A dedicated certified financial planner
- Headspace, Carrot Fertility and Gympass for all Strivers
- We like to have fun by celebrating our successes as a team through team building, company gatherings, trivia, wellbeing raffles, pajama days, a companywide book club and more.
- We value tenacity to help us overcome obstacles with grit and determination to deliver compassionate kidney care.
Analyst, Data Science
The Data Science organization leverages predictive analytics and data science techniques to support Strive Health's intervention programs. We build models and algorithms to help make informed decisions, enhance the quality of care, reduce costs, and ultimately improve the lives of patients with kidney disease. We aim to identify, prioritize, and implement on initiatives that will impact the right patient at the right time and improve health outcomes.
We are looking for a Data Science Analyst to collect, clean, analyze, and model healthcare data to provide insights to our clinical and operational teams. As someone with a solid background in statistics, computer science and mathematics, you will collaborate with data scientists, analysts, and engineers to organize and create accurate and high-quality data required for data science models and analysis independently.
Responsibilities:
- Ability to join and extract data from multiple sources and create data tables for Data Science initiatives.
- Use problem solving ability to identify areas of improvement through data exploration and model performance monitoring.
- Optimize current Data Science models to make it scalable and easily configurable for other projects or models.
- Ability to drive a defined project forward as an individual and collaboratively with other team members; effectively communicate findings to key stakeholders.
- Be curious and agile – high aptitude for changes in business direction and able to navigate with changing priorities.
- Collaborate with dynamic team of data scientists, analysts, and engineers to analyze and model healthcare data to provide actionable insight for clinical operations.
Minimum Qualifications
- Bachelor’s degree in computer science, Statistics, Mathematics, or quantitative field. Master’s or PhD degree are preferred.
- 2+ years experience working in Python or R
- 1+ year experience in databases and related languages (e.g., SQL) for complex queries
- 1+ year experience with unsupervised and supervised learning methods including (but not limited to) clustering, logistic regression, and decision tree-based ML models
Preferred Qualifications
- 1+ year experience at a healthcare or wellness organization
- 1+ deep learning framework (PyTorch, TensorFlow, Keras)
- 1+ year experience with AWS Sagemaker
- 1+ year experience with GitHub or Gitlab
- Experience in forecasting using time-series algorithms and A/B testing
- Strong communication and experience working with multi-functional engineering, product, and operations teams
- Excellent communication and presentation skills and ability to collaborate with others.
- Knowledge of Linear Algebra, Statistics, and Mathematics concepts
Annual Salary Range: $86,000.00-$104,000.00
Strive Health offers competitive compensation and benefits, including Health insurance, Dental insurance, Vision insurance, 401k Retirement Plan with Employer Match, Life and Accidental Death & Dismemberment insurance, Disability insurance, Health Savings Account, Flexible Spending Account, paid company holidays, in addition to Vacation Time Off. An annual performance bonus, determined by company and individual performance, is available for many roles as aligned to Strive Health guidelines.
Strive Health is an equal opportunity employer and drug free workplace. At this time Strive Health is unable to provide work visa sponsorship. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please apply even if you feel you do not meet all qualifications. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to [email protected]
