• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
United States Jobs Expertini

Staff Data Scientist Job Opening In Austin – Now Hiring MongoDB


Job description

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 Staff Data Scientist will play a critical role in driving broad 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 Staff 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.


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


As one of the most senior technical members of the centralized Data Science team, this role will have key externally- and internally-facing leadership responsibilities, including:


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
  • Skills & Attributes

  • 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.)
  • Required Skill Profession

    Mathematical Science Occupations


    • Job Details

    Related Jobs

    Crunchbase hiring Staff Data Scientist Job in georgia, united states, Georgia, United States
    Crunchbase
    georgia, united states, Georgia, United States
    Crunchbase hiring Staff Data Scientist Job in washington, united states, Washington, United States
    Crunchbase
    washington, united states, Washington, United States
    Sam's Club hiring Staff, Data Scientist Job in Bentonville, Arkansas, United States
    Sam's Club
    Bentonville, Arkansas, United States
    Crunchbase hiring Staff Data Scientist Job in oregon, united states, Oregon, United States
    Crunchbase
    oregon, united states, Oregon, United States
    Crunchbase hiring Staff Data Scientist Job in colorado, united states, Colorado, United States
    Crunchbase
    colorado, united states, Colorado, United States
    Northrop Grumman hiring Staff Data Scientist Job in Palmdale, CA, United States
    Northrop Grumman
    Palmdale, CA, United States
    Northrop Grumman hiring Staff Data Scientist Job in Sanger, CA, United States
    Northrop Grumman
    Sanger, CA, United States
    Northrop Grumman hiring Staff Data Scientist Job in Palmdale, CA, United States
    Northrop Grumman
    Palmdale, CA, United States
    Northrop Grumman hiring Staff Data Scientist Job in Sanger, CA, United States
    Northrop Grumman
    Sanger, CA, United States
    LinkedIn hiring Staff Data Scientist Job in Mountain View, CA, United States
    LinkedIn
    Mountain View, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN FRANCISCO, CA, United States
    Intuit
    SAN FRANCISCO, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN DIEGO, CA, United States
    Intuit
    SAN DIEGO, CA, United States
    Intuit hiring Staff Data Scientist Job in SAN FRANCISCO, CA, United States
    Intuit
    SAN FRANCISCO, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States
    Intuit hiring Staff Data Scientist Job in MOUNTAIN VIEW, CA, United States
    Intuit
    MOUNTAIN VIEW, CA, United States

    Unlock Your Staff Data Potential: Insight & Career Growth Guide


    Real-time Staff Data Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Staff Data in Austin, United States, highlighting market share and opportunities for professionals in Staff Data roles.

    71842 Jobs in United States
    71842
    1054 Jobs in Austin
    1054
    Download Staff Data Jobs Trends in Austin and United States

    Are You Looking for Staff Data Scientist Job?

    Great news! is currently hiring and seeking a Staff Data Scientist to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at MongoDB adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Staff Data Scientist Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Austin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Staff Data Scientist?

    Key qualifications for Staff Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Staff Data Scientist?

    To improve your chances of getting hired for Staff Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Staff Data Scientist Job Success

    MongoDB interview tips for Staff Data Scientist

    Here are some tips to help you prepare for and ace your Staff Data Scientist job interview:

    Before the Interview:

    Research: Learn about the MongoDB's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Staff Data Scientist interview at MongoDB, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the MongoDB's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

    How to Set Up Job Alerts for Staff Data Scientist Positions

    Setting up job alerts for Staff Data Scientist is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!