Senior Data Scientist (Applied ML)

• Partner with product and engineering leaders to identify and scope new data science use-cases within their domains such as Risk & Insurance and Payments
• Utilize SQL to query both structured and unstructured datasets relevant to the problems
• Prototype, evaluate, and deploy technical solutions including classical ML, statistical techniques, algorithms, deep learning, and LLMs
• Develop and apply AI-assisted approaches to analysis, model exploration, and deployment to multiply your impact and expand the reach of data science across the organization
• Help implement and curate strategic assets for the team such as data assets, generalized code and tooling, and reusable frameworks
• Support technical and code reviews on the team
• Build model monitors and systematic methods of obtaining consumer feedback from models post-deployment
• Collaborate with our MLE team to inform the model deployment infrastructure and MLOps tooling roadmap
• Perform other related responsibilities as needed based on department and/or organizational needs

Benefits

• Paid volunteer work
• Paid parental leave
• Work from home opportunities
• Medical, dental, and vision insurance, plus access to One Medical, Kindbody, and Teladoc
• Premium access to Headspace, ClassPass stipends, and webinars to support your overall wellness on topics like nutrition, budgeting, mindfulness, and more
• All Justworks offers include equity, and Justworkers can continue to earn more over time with promotions and tenure
• Extensive learning & development opportunities through workshops, ExecOnline, Udemy, and BetterUp coaching
• Apprenticeship program that supports internal movement and growth- Assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome
• Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking. This includes helping product partners develop a more data-informed mindset, not just answering their questions
• Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism
• Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improv
• Strong communication and data storytelling skills — you can translate complex findings into clear narratives that influence strategy and decisions
• Strong expertise in predictive modeling, numerical algorithms, and statistical methods
• Familiarity with a cloud-based data stack (e.g. Snowflake, dbt)
• 7+ years of experience as a data scientist or machine learning practitioner, with a track record of driving business impact through statistical analysis, machine learning, and productionizing models
• Proficient in Python for both model research and development, as well as writing production grade code for deployment
• Demonstrated curiosity about AI tools and emerging technologies, with a track record of applying them to accelerate analysis, improve rigor, or expand the reach of data science work
• Prior experience in a high-growth startup or SaaS company is preferred
• Fluent in SQL
• Strong business acumen and the ability to connect analysis to product strategy, roadmap tradeoffs, and business outcomes