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CareerFit

Every open role from the boards that matter, in one pool you can search, score against your CV and track.

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The pool

Remote roles, worldwide

2,030 of the pool’s 4,480 live roles can be done from anywhere.

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Field
Software1,546Data & AI445Design71Product166Sales722Marketing170Support145Operations317Finance127People65Legal87Other619
Source
Greenhouse3,284Ashby1,167Lever25Glints4

410 roles

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  • R

    Principal Data Scientist, Ads

    1y ago

    Reddit · Remote - United States

    RemoteRemote country eligibility unknownLead

    Machine Learning · Cross-functional Collaboration · UX · A/B Testing · Performance Optimization +5

    Greenhouse· Last observed unknown· Open status unconfirmed

  • C

Complaints Analyst III

1y ago

Coinbase · Remote - Luxembourg

RemoteRemote country eligibility unknownMid

LLMs · GDPR · Salesforce

Greenhouse· Last observed unknown· Open status unconfirmed

  • S

    Product Manager, Payments

    1y ago

    Stripe · SF, NY, SEA, Remote-US

    RemoteRemote country eligibility unknownLead

    Product Management · Cross-functional Collaboration · Analytics

    Greenhouse· Last observed unknown· Open status unconfirmed

  • R

    Senior Machine Learning Engineer

    1y ago

    Reddit · Remote - United States

    RemoteRemote country eligibility unknownSenior

    Machine Learning · Recommender Systems · Distributed Systems · UX · Observability +16

    Greenhouse· Last observed unknown· Open status unconfirmed

  • R

    Senior Machine Learning Engineer

    1y ago

    Reddit · Remote - Ontario, Canada

    RemoteRemote country eligibility unknownSenior

    Machine Learning · Recommender Systems · Distributed Systems · UX · Observability +16

    Greenhouse· Last observed unknown· Open status unconfirmed

  • A

    Senior Staff Data Scientist, Guest & Host Marketplace AI

    1y ago

    Airbnb · Remote

    RemoteRemote country eligibility unknownLead

    Cross-functional Collaboration · UX · Python · LLMs · SQL

    Greenhouse· Last observed unknown· Open status unconfirmed

  • P

    Sr. Machine Learning Engineer, Applied Science

    1y ago

    Pinterest · San Francisco, CA, US; Remote, US

    RemoteRemote country eligibility unknownSenior

    Recommender Systems · Machine Learning · Deep Learning · Computer Vision · RAG +2

    Greenhouse· Last observed unknown· Open status unconfirmed

  • P

    Machine Learning Engineer, Core Engineering

    2y ago

    Pinterest · San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US

    RemoteRemote country eligibility unknownMid

    NLP · Recommender Systems · Machine Learning · A/B Testing · Deep Learning +4

    Greenhouse· Last observed unknown· Open status unconfirmed

  • P

    Sr. Data Scientist, Core

    2y ago

    Pinterest · San Francisco, CA, US; Remote, US

    RemoteRemote country eligibility unknownSenior

    Machine Learning · Cross-functional Collaboration · A/B Testing · Deep Learning · scikit-learn +6

    Greenhouse· Last observed unknown· Open status unconfirmed

  • O

    Data Engineer

    3y ago

    OpenAI · San Francisco

    RemoteRemote country eligibility unknownMid235k–385k

    ETL · Data Warehousing · Airflow · Python · Hadoop +4

    Ashby· Last observed unknown· Open status unconfirmed

  • Previous
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    Greenhouse

    Principal Data Scientist, Ads

    Reddit · Remote - United States

    Apply on GreenhouseOpen full page
    Level
    Lead
    Where
    Remote
    Posted
    1y ago
    Last seen on its board
    Unknown

    Skills in this posting

    • Machine Learning
    • Cross-functional Collaboration
    • UX
    • A/B Testing
    • Performance Optimization
    • Mentoring
    • Analytics
    • Product Management
    • Python
    • SQL

    The posting

    Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do - Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. - Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue. - Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments. - Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams. - Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics. - Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action. - Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques. Requirements - Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale - Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline - For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles - For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles - Advanced proficiency in statistical programming (Python or R) and SQL - Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques - Strong understanding of experimental design, causal inference, or A/B testing methodologies - Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners - Experience working in fast-paced, ambiguous environments with cross-functional teams - Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $268,000 - $365,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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