Data Scientist

Remote - US

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Waymark

Waymark connects you with a local care team, including community health workers, therapists, pharmacists, and care coordinators to help you get and stay healthy.

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Data Scientist (Remote)

Waymark is a team of healthcare providers, technologists, and builders whose mission is to bring the best healthcare to people with Medicaid benefits.  Guided by the communities we serve, we bring support and technology-enabled care to help primary care providers keep Medicaid patients healthy.  We are building the tools and designing an approach to enable care to reach the patients who can benefit most.  

Our core values embody the essence of what makes Waymark a unique team today, and what we look for, nurture, and sustain as a team. We are bold builders, believing that the greatest challenges in care delivery can be solved when we harness the power of community and technology. We are humble learners, seeking feedback and perspectives different from our own, and welcome challenges to our conclusions. We experiment to improve, actively seeking data to inform decisions and to assess our own performance. We act with focused urgency, our commitment to our mission drives us to tirelessly pursue results.

If this vision resonates with you, we hope you consider bringing your creativity, your energy, your curiosity to Waymark.

About this role

At Waymark, the data science challenges we face are related to building data science products and data pipelines (claims and EHR data; data collected in our CRM from care workers) that support/optimize care delivery teams (community health workers, social workers, pharmacists, and care coordinators) to support patients facing major health challenges. 

As a data scientist at Waymark, you will serve as a builder and connector in the ideation and deployment of tools used by community health workers, social workers, pharmacists, and medical assistants to enable comprehensive care for low-income patients. This is a position for a person with passion for social justice and improvement of health outcomes, and who wants to apply their skills in by providing technical guidance and consultation to satisfy data processing pipelines (via SQL, ORM, and Python), assist with developing & building risk models (using feature engineering, time series data, and ML), building data science tools via NLP and ML recommender systems, and working with a diverse group of engineers and BI analysts to solve major healthcare problems.

Responsibilities

  • Be a thought partner with Data Science Lead and Engineering/Product teams to learn, understand, and build the claims “post” processing pipeline 
  • Design & build models to facilitate care delivery for Medicaid members with health care needs using national Medicaid claims data and submit findings for publication 
  • Identify key areas for care optimization and build data science tools (recommender systems; nlp) to facilitate optimization in conjunction of care delivery teams
  • Lead multiple cross functional projects under mentorship of Data Science Lead
  • Maintain product documentation, workflow and analytic plans

Minimum qualifications

  • MS in data science or equivalent and 1-2 years of data science work experience; or 3-4 years of data science work experience
  • Genuine desire to learn about healthcare and technology
  • 3+ years of experience (defined as training plus work experience) working with large databases 
  • 5+ years of experience with Python, SQL, and ORM 
  • 5+ years of experience, implementing, and maintaining highly available, data science tools, including post processing “big” data structure, feature engineering, statistical/ML models, NLP and ML recommender systems  
  • Experience or interest in designing analytic plans for algorithms, NLP tools, or recommender systems (sometimes referred to as a product/functional design)
  • Experience collaborating with other teams – particularly engineering, product, and analytic team members
  • Experience with code development using Git

 

Preferred qualifications 

  • Comfortable working with new technology and fast-paced changing environment 
  • Experience with healthcare data (claims, EHR) and data processes (patient episodes, transitions of care, conditions, outpatient vs. inpatient visits, provider specialty)
  • 2+ years of experience leading multiple projects designing, building, and/or running data science projects

Salary Range: $51,000.00 - $126,500.00. Compensation will depend on multiple factors, including job location, training, education, and experience.

Benefits and Other Compensation: Medical, vision, dental, basic life insurance, and stock options available for the hired applicant.  Employees also receive 20 vacation days, accrued over the year and 13 paid holidays throughout the calendar year. 16 weeks of parental leave for birthing parents will also be available for use after successful completion of 6 months of employment, 8 weeks of bonding leave for non-birthing parents.  Employees are able to enroll in our 401(k) plan and commuter benefits plan. 

COVID Vaccination: Waymark has adopted a policy on mandatory full vaccination to safeguard our employees, our partners, and the patients we serve from the hazard of COVID-19.  As a healthcare company, we believe it is important for our employees and actions to reflect the best available science and the interests of public health.  You will be asked to attest to your COVID vaccination status before an offer of employment is made.

Tags: Data pipelines Engineering Feature engineering Git Machine Learning ML models NLP Pipelines Python Recommender systems SQL Statistics

Perks/benefits: Equity Health care Medical leave Parental leave

Regions: Remote/Anywhere North America
Country: United States
Job stats:  64  20  1
Category: Data Science Jobs

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