Senior Data Scientist - Business Systems

About the position

The Senior Data Scientist will play a critical role in driving impact at MongoDB through researching, prototyping and integrating predictive solutions into systems across the company. As a member of the Business Data Science team, the Senior Data Scientist will partner closely with other teams including Go To Market, Sales, Product, and IT to further our team mission: 'Delivering fit-for-purpose, practical, and production-ready solutions to drive business outcomes and operational efficiencies through AI/ML model development and statistical thought partnership'. We are growing adoption of data science models across the business, and you will help us increase this velocity substantially.

Responsibilities

• Developing, deploying, and maintaining Machine Learning models to equip internal teams with actionable tools to drive enterprise growth
• Working with many stakeholders across different verticals, navigating the translation layer between business unit requirements, key business metrics, and cutting-edge technical solutions
• Delivering data-driven insights to guide strategic decisions and optimize outcomes
• Leveraging and continuing to grow the Data Science team's capabilities through technical and business-savvy mentorship
• Act as a conduit between MongoDB Data Science and business stakeholders across Product, Engineering, and GTM teams
• Own end-to-end implementation of data science projects (feasibility analysis, data preparation, feature engineering and model evaluation) in collaboration with data analysts, other data scientists, data engineers, software engineers, product managers, and business stakeholders
• Communicate, coordinate, and collaborate effectively with end-users of data science products and respond to stakeholder needs
• Provide thought leadership to the broader organization on the best way of using machine learning technologies, frameworks and approaches to solve different problems
• Collaborate closely with product managers and other engineers to understand business priorities, propose new solutions
• Identify data gaps, working with engineering to collect and effectively use novel data sets
• Act as a core code contributor to internal platform tools

Requirements

• 5+ years of hands-on data science and machine learning model development
• Experience working alongside product and engineering teams to deliver measurable value to the customer with predictive solutions
• Familiarity and comfort working in a large scale environments with unstructured or semi-structured data using SQL and Python (MQL plus)
• Clear understanding of the risks and trade-offs involved in choosing different models
• Demonstrated understanding of the entire data science development lifecycle, including experience delivering data science artifacts to production deployment environments
• Ability to seek empirical evidence through proofs of concept, statistical validation and external research
• 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
• Master's degree or equivalent experience in a quantitative/computational discipline (computer science, applied mathematics, statistics, physics, operations research, etc.)

Benefits

• Equity
• Participation in the employee stock purchase program
• 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