MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

The Senior Data Scientist for Engineering Systems will play a critical role in driving impact at MongoDB through researching, prototyping and integrating machine learning algorithms into systems across the broader engineering organization.  As a member of the Platform Data Science team, the Senior Data Scientist will partner closely with engineering teams such as Core Database Engine, Release Quality, Database Performance Testing, and Developer Productivity teams 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.

This role can be based out of our New York City office or remotely in the United States.

Key responsibilities will include will include:

• Delivering production ready, thoroughly tested statistical and machine learning algorithms with well-identified limitations 
• Collaborating cross-functionally with engineers from various teams to iterate on ML service architecture within a production environment
• Identifying gaps in product coverage and working with Engineering, Data Architecture and Data Engineering teams to collect, transform and use novel data sets effectively

(Additional) Responsibilities

• Delivering thoughtful and kind code reviews to your fellow team members and mentoring more junior data scientists
• Collaborating with Engineering, Product Analytics and Product Management on identifying promising areas for applying machine learning algorithms
• Communicating, coordinating, and collaborating effectively with stakeholders  and taking a proactive role in shaping new relationships with Engineering teams
• Acting as a core code contributor to internal packages, tooling and team processes

Skills & Attributes

• 5+ years of hands-on machine learning model development 
• Embraces an object-oriented approach to designing scalable and readable Python codebase, and has experience working with engineers on architecture design of machine learning systems. Our codebase is primarily in Python
• Expertise and track of record 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
• Effective at communicating technical concepts to non-technical audiences; e.g. able to translate efficacy measurements of data science models and products into tangible business impact metrics
• 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.)

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263109139

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: 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, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:$126,000—$248,000 USD