Senior Data Scientist - Applied ML; opens in tab

At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.

We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.

We're united by shared goals and shared motivations se are best summed up in our company values, which are reflected in our product and in our team.

If this sounds like you, you’ll fit right in.

Technology, Data & Analytics Team

You’re a data scientist with experience in building and deploying machine learning solutions for complex, and sometimes ambiguous, business problems. You have worked end-to-end on the ML model lifecycle, from early data discovery and analysis to deploying and maintaining models in production. You believe that the best data science work accelerates learning, improves decision making, and ultimately drives measurable impact for customers and the business.

Justworks is looking for a Senior Data Scientist to join our ML group within the Data & Analytics team. You'll primarily partner with Product and Engineering to identify and frame domain-specific use-cases as data science problems, prototype and evaluate the appropriate technical solutions, and work with our Machine Learning Engineers to deploy them into production and maintain them.

Lead end-to-end machine learning and data science projects:

• 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.

In the Data Scientist role, how results are