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196 matches
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Launch Potato

Lead Data Scientist, AdTech

9 days ago
Launch Potato · Arlington, VA (remote); Baltimore, MD (remote); Buffalo, NY (remote); Jersey City, NJ (remote); Manchester, NH (remote); New York, NY (remote); Philadelphia, PA (remote); Stamford, CT (remote)
RemoteFull-timePython · SQL
Launch Potato

Lead Data Scientist, AdTech

9 days ago
Launch Potato · Delray Beach, FL
HybridFull-timePython · SQL
Launch Potato

Lead Data Scientist, AdTech

9 days ago
Launch Potato · Panama City, Panama (remote)
RemoteFull-timePython · SQL
LP Careers Page

Lead Data Scientist, AdTech

10 days ago
LP Careers Page · United States (remote)
RemoteFull-timePython · SQL
Robots and Pencils

Staff Data Scientist

11 days ago
Robots and Pencils · Bogota, Colombia / Argentina (Remote Friendly)
RemoteFull-timeAWS · Python
The Allen Institute for Artificial Intelligence

Research Internship, AI for Science

11 days ago
The Allen Institute for Artificial Intelligence · Seattle, WA
$94k–140kOn-sitePart-timePython · TensorFlow
Airbnb

Senior Data Scientist, People Analytics & Research

11 days ago
Airbnb · Remote - USA
RemoteFull-timePython · SQL
Via Logic LLC

AI/ML Security Specialist - Junior, Mid-Level & Senior [U.S. Citizenship Required]

11 days ago
Via Logic LLC · Ashburn, VA
$90k–139kOn-siteFull-timePython · TensorFlow
OpenTeams

OpenTeams - General Application

11 days ago
OpenTeams · Remote
RemoteFull-timePython · NumPy
DoorDash USA

Staff Applied Scientist, Experimentation and Causal Inference

13 days ago
DoorDash USA · San Francisco, CA
HybridFull-timePython · SQL
Upstart

Staff Applied Scientist

14 days ago
Upstart · United States | Remote
RemoteFull-timePython · PyTorch
Coinbase

Senior Machine Learning Engineer, CX

14 days ago
Coinbase · Remote - USA
RemoteFull-timePython · TensorFlow
Ōura

Senior ML Data Scientist - Women’s Health

14 days ago
Ōura · Remote - United States
RemoteFull-timePython · TensorFlow
Moniepoint

Senior Data Scientist (Credit)

14 days ago
Moniepoint · Remote, Portugal
RemoteFull-timePython · SQL
Yoodli AI Roleplays

Principal Data Scientist

15 days ago
Yoodli AI Roleplays · Seattle, WA
On-siteFull-timePython · TensorFlow
AutoTrader.ca

Senior Data Analyst - Fintech (m/f/d)

15 days ago
AutoTrader.ca · Toronto, ON
On-siteFull-timePython · SQL
PitchBook Data

Sr. Machine Learning Engineer

15 days ago
PitchBook Data · Seattle, WA
On-siteFull-timePython · TensorFlow
PitchBook Data

Machine Learning Engineer

15 days ago
PitchBook Data · Seattle, WA
On-siteFull-timePython · TensorFlow
Zoro

Sr. Data Scientist I

16 days ago
Zoro · Chicago, IL
On-siteFull-timePython · SQL
LendingTree

Manager, Data Science

16 days ago
LendingTree · Charlotte, NC
HybridFull-timePython · TensorFlow
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  • Launch Potato

    Lead Data Scientist, AdTech

    Launch Potato · Arlington, VA (remote); Baltimore, MD (remote); Buffalo, NY (remote); Jersey City, NJ (remote); Manchester, NH (remote); New York, NY (remote); Philadelphia, PA (remote); Stamford, CT (remote) · posted 9 days ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Equity
    Profit-sharing bonus
    Remote
    Remote-first, East Coast hours
    Funding
    Bootstrapped
    Stack
    Python, SQL, TensorFlow, scikit-learn

    The posting, condensed

    Build and deploy machine learning models for auto insurance marketplace media buying and carrier targeting. Work alongside an ML engineer on production systems. Use Python, SQL, AWS (S3, Athena, SageMaker).

    About Launch Potato →

    The full posting

    WHO ARE WE?

    Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world's leading companies.

    Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment.

    We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries.

    WHY JOIN US?

    You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato.

    BASE SALARY: $175,000 to $200,000 per year, paid semi-monthly

    YOUR ROLE

    You'll build the models that decide which carrier each auto insurance shopper sees on our click wall. The goal is to send every user to the carrier most likely to convert them, so carriers see our traffic convert and raise their bids. You'll also own the buying models behind our media spend, which are held to ROAS.

    Carrier conversion data (quotes, policies and acquisition cost) is now coming back to us, and you'll be the one who puts it to work in production. The hard part is the data. Outcomes land weeks or months after the click, many sessions are sparse, the same shoppers come back, and the market drifts. Our bids also decide which users we win, so the model shapes the data it learns from next.

    This is a hands-on individual contributor role. You frame problems directly with the business, find your own data, build and validate the model, and stay with it through deployment and monitoring. An ML engineer works alongside you on the production side. Auto insurance takes most of your time to start, and scope broadens to other verticals over time.

    We're remote first, and most of the company works East Coast hours.

    WHAT SUCCESS LOOKS LIKE

    By day 60, you run our insurance marketplace media buying on your own.

    By the end of your first year:

    • Click wall serving that matches each user to the right carrier
    • Carrier conversion data running in production models
    • Automated marketplace bidding taken from proof of concept to scale
    • A clear approach for repeat users and sparse sessions
    • Production models that hold up through drift and changing objectives
    • Output the business trusts and uses without rework

    MUST HAVE

    • 5+ years of hands-on applied data science with measurable business impact
    • Your models drove paid media decisions: spend, bidding or ad serving. Attribution and reporting alone don't qualify.
    • You built what's on your resume and can explain it down to the loss function and architecture choice, neural network fundamentals included
    • You see how today's bids shape tomorrow's training data, and you've handled late labels, sparse features or drift
    • You own models end to end: you find your own data, build through deployment and monitoring, and bring a point of view
    • Expert Python and SQL

    NICE TO HAVES

    • Real ad budget spent in live auctions
    • Large-scale ranking or recommendation systems
    • Explaining tradeoffs to non-technical partners in plain terms
    • Designing for auction feedback loops, selection bias and exploration
    • Hands-on neural network work, such as embeddings of text, creative or user behavior
    • AWS for data science: ECS, S3, Athena, SageMaker
    • CI/CD deployment

    TOTAL COMPENSATION

    Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

    Want to accelerate your career? Apply now!

    Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

    We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.