Data/AI Scientist II

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Waymark

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

📣 Marketing

🤖 Artificial Intelligence

Marketing • Artificial Intelligence • Advertising

Waymark is a creative technology company that leverages artificial intelligence to revolutionize ad production. Their platform enables users to create high-impact, agency-quality video ads quickly and effortlessly, without requiring prior experience. By personalizing ads with a brand's unique content and utilizing AI-driven creativity, Waymark allows businesses to unlock new revenue streams and enhance their marketing strategies. With their cutting-edge tools, users can produce custom-tailored ads in minutes, significantly reducing the cost and time of traditional ad production.

📋 Description

• Build and validate ML and AI models on claims and EHR data for care delivery use cases including risk stratification and care gap identification, under guidance of senior data scientists. • Support the development of LLM-based tools and AI applications for care team workflows. • Develop and maintain Python code for data processing, model development, and ML pipelines, following software engineering best practices including version control, code review, and testing. • Collaborate with engineering, product, and analytics teams to understand requirements and translate them to technical solutions. • Develop Healthcare Subject Matter Expertise: Show a strong interest in healthcare data structures, quantitative methods, and data science applications in healthcare.

🎯 Requirements

• A Master’s degree in Data Science, Computer Science, Statistics, or a related field. • Python Proficiency: 3+ years of hands-on Python experience including academic and project work — demonstrated through a GitHub portfolio or equivalent. • Solid foundations in statistical and machine learning methods, including classical ML and an understanding of modern AI and LLM applications. • Strong SQL skills and comfort working with large, messy real-world datasets. • Experience working with Git and collaborating in a team codebase. • Strong communication skills and ability to work closely with cross-functional stakeholders. • 1-2 years of industry data science experience (preferred). • Exposure to healthcare data (claims or EHR) through coursework, research, or work experience (preferred).

🏖️ Benefits

• Stock Options: Opportunity to invest in the company’s growth. • Work-from-Home Stipend: A dedicated stipend for your first year to help set up your home office. • Medical, Vision, and Dental Coverage: Comprehensive plans to keep you and your family healthy. • Life Insurance: Basic life insurance to give you peace of mind. • Paid Time Off: 20 vacation days, accrued over the year, plus 11 paid holidays. • Parental Leave: 16 weeks of paid leave for birthing parents after six months of employment, and 8 weeks of bonding leave for non-birthing parents. • Retirement Savings: Access to a 401(k) plan with a company contribution, subject to a vesting schedule. • Commuter Benefits: Convenient options to support your commute needs. • Professional Development Stipend: A dedicated stipend supports professional development and growth.