Design, build and deploy ML systems that help our customers work and ship more efficiently.
Lead cross-functional initiatives to put your work in the hands of our customers.
Mentor junior data scientists on the team.
Measure and continuously improve the accuracy of predictive models.
Use AI & ML to incorporate additional unstructured datasets into our ML models.
Orchestrate and automate scalable model pipelines in production environments.
Effectively document and communicate methodologies and results.
Use data to inform and influence the direction of the product roadmap.
Research and develop new models to solve key business challenges.
Use visualization & reporting to improve the ways in which our team accesses and interprets datasets.
Keep up-to-date with recent developments in AI / ML.

Requirements

5+ years’ experience working as a data scientist or machine learning engineer.
Proven experience designing, building, and deploying machine learning models in production.
Excellent Python and SQL skills for data manipulation, analysis, and ML development.
Strong grasp of data-engineering best practices and working with large, complex datasets.
Strong collaboration and communication skills with cross-functional teams (e.g., product, engineering, design)
Experience using data to influence product or business decisions.
Experience with software development practices, version control (e.g., Git), and basic code modularization.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningpredictive modelsdata manipulationdata analysisPythonSQLdata engineeringmodel pipelinesvisualizationreporting

Soft Skills

leadershipmentoringcollaborationcommunicationdocumentationinfluencingcross-functional teamwork