Senior Data Scientist - Applied ML

Justworks•New York, NY

5d•$166,000 - $214,000•Onsite

About The Position

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. The ideal candidate has experience in building and deploying machine learning solutions for complex, and sometimes ambiguous, business problems, and has worked end-to-end on the ML model lifecycle. This role is based in our New York City Office.

Requirements

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
Strong expertise in predictive modeling, numerical algorithms, and statistical methods
Strong communication and data storytelling skills — you can translate complex findings into clear narratives that influence strategy and decisions
Strong business acumen and the ability to connect analysis to product strategy, roadmap tradeoffs, and business outcomes
Fluent in SQL
Proficient in Python for both model research and development, as well as writing production grade code for deployment
Familiarity with a cloud-based data stack (e.g. Snowflake, dbt)
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

Nice To Haves

Prior experience in a high-growth startup or SaaS company is preferred

Responsibilities

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.