Waymark · 3 days ago

Data Scientist

United States

Full-time

Remote

Mid, Senior Level

$100K/yr - $205K/yr

5+ years exp

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Responsibilities

Document Technical Requirements for Data Science Tools: Develop clear technical specifications across multiple data science tools, detailing architecture, algorithms, and core functionalities. Engage with team members to ensure high-quality solutions and timely delivery.

Collaborate on Delivery Timelines: Work with data science and product leads to define project goals, MVP scope, and long-term enhancements. Establish and maintain organized documentation and delivery timelines to keep leadership and team members aligned on progress.

Create Thorough Technical Documentation: Produce detailed documentation on technical designs and project plans, including work sizing, prioritization, and trade-offs, providing visibility and alignment for all stakeholders, including leadership.

Hands-on Coding and Team Collaboration: Dedicate significant time to coding daily while also collaborating fluidly with data science team members. Share and understand team projects, building solutions together in a dynamic environment.

Work Independently with Strong Communication to Leadership: Manage projects independently with a proactive approach. Regularly communicate project timelines, blockers, and solution progress to leadership, ensuring alignment and transparency on key milestones and challenges.

Develop Healthcare Subject Matter Expertise: Show a strong interest in healthcare data structures, quantitative methods, and data science applications in healthcare, with a commitment to publishing insights in peer-reviewed journals.

Lead and Manage Project Efforts: Own projects from planning through execution, including project management and stakeholder alignment across product, engineering, and analytics teams. Through clear communication and cross-functional collaboration, ensure cohesive, high-quality healthcare solutions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine LearningData Science ExpertiseTechnical DocumentationProject ManagementHealthcare Data SciencePredictive ModelingRisk StratificationPatient SegmentationAgile Methodologies

Required

Master’s degree in Data Science, Computer Science, Statistics, or a related field.

5+ years of hands-on experience in Python, with demonstrated use of data science and machine learning libraries.

5+ years of practical experience applying machine learning techniques, including model development, tuning, and deployment.

Evidence of data science expertise, demonstrated through GitHub repositories or a similar portfolio of past projects.

3+ years of experience creating detailed technical specifications and documentation, including system architecture and technical requirements.

3+ years of experience managing multiple data science projects, including responsibilities for technical design, execution, and testing.

Proven ability to work effectively within a small team environment, with a clear track record of fitting into and contributing to collaborative, agile teams.

Preferred

3+ years of work experience with a Master’s degree or 5+ years without a Master’s degree.

Benefits

Medical, vision, dental, basic life insurance, and stock options available for the hired applicant.

Employees also receive twenty (20) vacation days, accrued over the year and eleven (11) paid holidays throughout the calendar year.

Sixteen (16) weeks of parental leave for birthing parents will also be available for use after successful completion of 6 months of employment, eight (8) weeks of bonding leave for non-birthing parents.

Employees are able to enroll in our 401(k) plan and commuter benefits plan.