Senior Data Scientist

Remote - United States

Quartet Health, Inc.

Mental health care, made easier. Quartet reaches people who need care, connects them to the right care, and supports their care journeys.

View company page

Company Description:

Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.

We are deeply committed to growing a diverse team and an equitable and inclusive culture where all Quartetians are empowered to be themselves and do their best work. We know this is vital in realizing our mission to improve the lives of people with mental health conditions. As part of our commitment to building a diverse team, we have signed the Parity Pledge and actively encourage applicants of all backgrounds to apply.

About the team & opportunity: 

As a Senior Data Scientist at Quartet, you will work on a range of projects -- from developing statistical analyses to study impact of Quartet interventions; to predicting mental health needs among populations; to building machine learning models to suggest timely and appropriate behavioral health care interventions for patients. 

You will own the design and implementation of Quartet’s algorithm for identifying patients with unmet mental health needs. By leveraging knowledge of computer science, machine learning, data mining and software architecture, you’ll work to build high-quality data products (for example: an entity resolution and de-duplication library; a Machine Learning application; an optical mark recognition - OMR - computer vision application).

This will involve designing and developing effective models, features, and algorithms involving multiple datasets (i.e. user activity, Electronic Health Records, healthcare claims, etc.) while collaborating effectively within the Data Science team, as well as cross-functional groups at Quartet.

Accountabilities:

  • Research and develop machine-learning and statistical models in Quartet Health’s platform to identify patients with unmet mental health needs who would benefit from Quartet’s products and services.
  • Design, develop and own data pipelines for patient identification and program evaluation.
  • Work with data scientists on Quartet’s evaluation team to design metrics and performance evaluations for both the patient identification algorithm and Quartet’s other core service offerings.
  • Drive a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency.
  • Perform Machine Learning (ML) research and exploratory data analysis; develop model evaluation and online maintenance methodologies, including confidence estimation, calibration, and concept drift.
  • Develop general-purpose frameworks to support machine learning applications in production.

 Minimum Qualifications:

  • A Master's degree in computer science, engineering or statistics (or other technical field) and 3+ years experience working as a data scientist.
  • Formal training in statistics
  • Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics.
  • Strong background in Machine Learning (ML) engineering.
  • Strong data transformation and extraction skills with SQL databases.
  • Strong statistical programming skills in both Python and R.
  • Comfort/self-sufficiency with the following: Amazon Web Services (AWS) infrastructure, Linux command line, git for version control.
  • Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance.
  • Ability to clearly communicate across disciplines and work collaboratively.

Preferred Qualifications:

  • A PhD in a technical discipline (i.e. Computer Science, Engineering, Statistics, Economics)
  • Experience working within a healthcare technology environment

Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.

Want to know what Quartet life is like? Click here to meet our team.

Quartet actively encourages applicants of all backgrounds to apply and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. To perform this job successfully, an individual must be able to perform essential job duties -  reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. If you require assistance in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to talent@quartethealth.com 

Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.

Have someone to refer? Email talent@quartethealth.com to submit their details to us.

Tags: AWS Computer Science Computer Vision Data analysis Data Mining Data pipelines Economics EDA Engineering Git Healthcare technology Linear algebra Linux Machine Learning ML models PhD Pipelines Probability theory Python R Research SQL Statistics

Perks/benefits: 401(k) matching Career development Equity Health care Insurance Medical leave Parental leave Team events Unlimited paid time off

Regions: Remote/Anywhere North America
Country: United States
Job stats:  9  0  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.