Manager – Data Science
Updated on 3/20/2024
MongoDB

5,001-10,000 employees

Modern, general-purpose database platform
Company Overview
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data
Data & Analytics

Company Stage

Series F

Total Funding

$311M

Founded

2007

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

16%

1 year growth

28%

2 year growth

56%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Sales
Data Science
SQL
Marketing
CategoriesNew
Data Management
Data Science
Data & Analytics
Requirements
  • 3+ years of managing data scientists and showing meaningful business impact
  • 5+ years experience working as a technical contributor, whether as a data scientist or machine learning engineer, in a fast-paced environment
  • 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 (Mongo Query Language - MQL - a 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
  • Effective at communicating technical concepts to non-technical audiences, including business leadership
  • Demonstrated commitment to building and maintaining a collaborative, enjoyable, and psychologically safe work environment
  • Graduate degree or equivalent experience in a quantitative/computational discipline (social science, statistics, computer science, applied mathematics, etc.)
Responsibilities
  • Working with many stakeholders across different verticals, navigating the translation layer between business unit requirements and technical solutions
  • Providing clear performance expectations for your team on a group and individual basis, prioritizing career development, technical mentorship, and growth opportunities
  • Act as a conduit between MongoDB Data Science and business stakeholders across GTM pillars, including but not limited to Sales, Marketing, Growth and Customer Success organizations
  • Own end-to-end implementation of data science projects (feasibility analysis, data preparation, feature engineering, model evaluation, deployment, and maintenance) in collaboration with data analysts, data scientists, data engineers, software engineers, product managers, and business stakeholders
  • Collaborate with MDB Research teams, working together to incubate/build prototype model solutions from research artifacts
  • 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