Overview

Are you passionate about building and maintaining cutting-edge Data Science (DS) and Machine Learning (ML) platforms? Do you want to empower Data Scientists and deliver impactful insights to operational and clinical stakeholders? If so, VNS Health is looking for a dynamic Data Science Engineer to join our innovative team!

Compensation Range:$98,200.00 - $130,800.00 Annual

What We Provide

• Referral bonus opportunities     

• Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays   

• Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life Disability    

• Employer-matched retirement saving funds   

• Personal and financial wellness programs    

• Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care     

• Generous tuition reimbursement for qualifying degrees   

• Opportunities for professional growth and career advancement    

• Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities

What You Will Do

• Collaborate & Innovate: Work closely with clinical operations, business owners, and IT teams to understand data flows and integrate user-facing applications with database systems.

• Build & Maintain: Extend and maintain VNS BIA data transformation pipelines using dbt on Snowflake. Develop Docker images and CI/CD pipelines with GitLab CI.

• Leverage Technology: Utilize the latest cloud computing technologies, including Snowflake CORTEX and AWS services, to enhance our DS/ML tools and services.

• Support & Optimize: Assist our Machine Learning Engineers in maintaining MLOps on AWS SageMaker, and ensure efficient monitoring, logging, and alerting across all tools and services.

• Develop & Sustain: Manage the orchestration of production DS/ML workflows using Airflow, and contribute to the development and maintenance of web applications using R Shiny and Python Dash.

• Share Knowledge: Participate in code reviews, document workflows, and support onboarding new team members.

• Solve Challenges: Tackle non-routine, interdisciplinary analysis problems with innovative analytical methods.

Qualifications

Education:

• Bachelor's Degree in computer science, data science, or relevant work experience required

• Master's Degree in Data Science, Computer Science, or CS Engineering preferred

Work Experience:

• Minimum 2 years of industry experience in a Data Science or similar role required

• Minimum 2 years of experience using Python for both DS/ML development and as a general-purpose scripting language required

• Minimum 1 years of experience with tools such as Git, Docker, Linux command line required

• Minimum 1 years of industry experience with Snowflake (or a similar columnar cloud data warehouse) and AWS (or Azure/GCP) required

• Strong SQL skills for querying and manipulating large datasets in a cloud data warehouse environment required

• Effective oral, written and interpersonal communication skills required

• Experience with basic web technologies (HTML/CSS/JS) preferred

• Experience working with engineering and project management teams, demonstrating strong communication skills and ability to translate business requirements into software requirements preferred