Data Scientist Intern
Overview:
About the Role
Hinge Health is responsible for managing highly sensitive and critical data across multiple databases. This data plays a crucial role in generating accurate client reports used in client data requests and audits. As Hinge Health approaches its Initial Public Offering (IPO), the accuracy and timeliness of these analyses and reports become even more critical.
You will join our Data Science team as a Data Scientist Intern, Billing and Client success team with the goal of creating internal client audit tooling for internal stakeholders. This role requires a core set of traditional Data Science skills including data modeling, data visualization, and a keen understanding of how to present numbers to external stakeholders.You’ll work with an extremely broad range of data from a number of teams across the business.
The ideal candidate will have a knack for data modeling/automation with the ability to hunt down critical information to drive their projects forward.
Our stack: dbt, Mode, Python, SQL, Databricks, Airflow, Statsig, Fivetran, AWS
What You’ll Accomplish- Work closely with Billing and Client Success teams to productionalize automated client reports
- Partner with Leverage dbt to develop the underlying data models required for client audits
- Partner with various teams across the business to ensure accuracy of outputs
- Following the completion of the Client Audit project, you will be able to work on other projects of your choosing with a focus on any Data Science skillset (Data Modeling, Data Visualization, Analysis, Predictive Modeling, ML, etc.)
Hinge Health Hybrid Model
We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week. The San Francisco office has a dog-friendly workplace program.
Qualificatons:
Basic Qualifications- Junior or Senior in college (Undergraduate or Masters) working towards a degree relevant to business/data operations (Data Science, Computer Science, Engineering, Mathematics, Economics, Finance, etc.)
- 1+ years of experience with SQL
- 1+ years of experience with data visualization (Mode, Tableau, etc.)
- Experience data modeling and using dbt or some other ETL tool
- 1+ years of experience Python/R
- 1+ years of experience with predictive modeling/AI
- 1+ years of experience conducting actionable business analysis
- Ability to problem solve/unblock themselves efficiently
Company Information:
About Hinge Health
Hinge Health is moving people beyond pain by transforming the way it is treated and prevented. Connecting people digitally and in-person with expert clinical care, we combine advanced technology, AI and a care team of experts to guide people through personalized care directly from their phone.Our approach is proven to reduce pain by 68%, prevent 42% of new opioid prescriptions, and avoid more than half of joint replacement surgeries. Available to 18M people, Hinge Health is trusted by leading health plans and employers, including Land O’Lakes, L.L. Bean, Salesforce, Self-Insured Schools of California, Southern Company, City of Boston, US Foods, and Verizon.
Learn more at http://www.hingehealth.com
What You'll Love About Us- Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
- Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
- Modern life stipends: Manage your own learning and development
Diversity and Inclusion
We’re committed to building diverse teams that reflect the communities we serve. Visit hingehealth.com/diversity-equity-and-inclusion to learn more about what moves us.
Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law.We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.