About this role
Professionals who enjoy solving ambiguous business challenges through end-to-end machine learning will find a welcoming home on this team. Justworks operates a data-driven environment within its Technology, Data & Analytics department, specifically within the ML group. This team builds predictive models, algorithms, and applied AI solutions that directly impact domains like Risk, Insurance, and Payments.
Daily responsibilities involve partnering with product and engineering leaders to frame domain use cases, utilizing SQL and Python to build solutions, and collaborating with Machine Learning Engineers to maintain production systems. The role exists to accelerate organizational learning and drive measurable customer impact. Ideal candidates bring strong business acumen, excellent communication skills, and a track record of productionizing machine learning models.
What you will do
- Lead end-to-end machine learning and data science projects by partnering with product and engineering leaders to scope new use cases in domains such as Risk & Insurance and Payments.
- Utilize SQL to query relevant structured and unstructured datasets for analysis and model exploration.
- Prototype, evaluate, and deploy technical solutions including classical machine learning, statistical methods, algorithms, deep learning, and large language models.
- Develop and apply AI-assisted approaches to expand the reach and efficiency of data science across the organization.
- Build model monitors and systematic feedback collection methods for models operating in production.
- Collaborate with machine learning engineers to inform deployment infrastructure and MLOps tooling roadmaps.
What you need
- Bring seven or more years of experience working as a data scientist or machine learning practitioner with a track record of driving business impact.
- Demonstrate strong expertise in predictive modeling, numerical algorithms, and statistical methods.
- Possess strong communication and data storytelling skills to translate complex analytical findings into clear strategic narratives.
- Show strong business acumen with the ability to connect technical analysis to product strategy, roadmap tradeoffs, and business outcomes.
- Demonstrate fluency in SQL for querying various datasets.
- Show proficiency in Python for model research, development, and writing production-grade code.
Nice to have
- Prior experience in a high-growth startup or SaaS company
Benefits
- Welcoming and casual environment
- Great benefits
- Wellness program offerings
- Company retreats
Skills and tech stack
Questions candidates ask
What is the salary range for this position?
The base wage range for this position based in the New York City Office is targeted at $166,000-$214,000 per year. Actual compensation is based on multiple factors that are unique to each candidate, including skill set and relevant experience.
What team will I be joining?
You will join the ML group within the Data & Analytics team inside the Technology, Data & Analytics department. You will primarily partner with Product and Engineering to identify and frame domain-specific use-cases.
What kind of technical background is required?
Candidates need seven or more years of experience as a data scientist or machine learning practitioner with strong expertise in predictive modeling and statistical methods. The role requires fluency in SQL and proficiency in Python for both research and production-grade code.