Staff Data Scientist

Summary

Join MongoDB's Business Data Science team as a Staff Data Scientist and play a critical role in driving broad impact by researching, prototyping, and integrating predictive solutions into company systems. Partner with various teams, including Go To Market, Sales, Product, and IT, to deliver practical, production-ready solutions. As a senior technical member, you will have key leadership responsibilities, both internally and externally. This role involves end-to-end implementation of data science projects and providing thought leadership on machine learning technologies. The position can be based in New York City, Austin, or remotely within the United States. You will contribute to a collaborative and supportive work environment while making a significant impact on the company's growth and success.

Requirements

• 8+ years of hands-on data science and machine learning model development
• Proven track record of coordinating and collaborating effectively with stakeholders and end-users of data science products to ensure the delivery of fit-for-purpose solutions
• Embraces an object-oriented approach to designing scalable and readable Python codebase, and has experience working with engineers on architectural design of machine learning systems
• Expertise and track record of working autonomously across the entire data science development lifecycle, including prototyping, simulation, tuning and delivering data science artifacts to production deployment environments with and without dedicated engineering help
• Ability to translate efficacy measurements of data science models and products into tangible business impact metrics
• Effective at communicating technical concepts to non-technical audiences, including business leadership
• Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
• PhD or Masters degree in a quantitative/computational discipline (computer science, applied mathematics, statistics, physics, operations research, etc.)

Responsibilities

• Represent the MongoDB Data Science team to business stakeholders across different verticals, navigating the translation layer between business unit requirements and cutting-edge technical solutions
• Proactively propose new solutions based on business priorities derived from close collaboration with product managers and other engineers
• Own end-to-end implementation of data science projects (feasibility analysis, data preparation, feature engineering and model evaluation, as well as deployment and maintenance)
• Provide thought leadership to the broader organization on the best way of using machine learning technologies, frameworks and approaches to solve different problems
• Evangelize appropriate tech and engineering best practices
• Define and improve business & product metrics to optimize the quality and cost of AI usage
• Maintain a high standard of operational excellence across the team by streamlining workflows and acting as a core code contributor to internal packages, tooling, and team processes
• Partner with DS leadership to strategize initiatives, identifying opportunities for other members of the team to contribute to complex workstreams, understanding teammates' skillsets and growth potential
• Anticipate opportunities and obstacles across the team, and invest ahead of problems to ensure continuity (and growth where possible) of service. Balance maintenance investment based on project ROI

Benefits

• Flexible paid time off
• 20 weeks fully-paid gender-neutral parental leave
• Fertility and adoption assistance
• 401(k) plan
• Mental health counseling
• Access to transgender-inclusive health insurance coverage
• Health benefits offerings