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Launch Potato

Lead Data Scientist, AdTech

9 days ago
Launch Potato · Mississauga, Canada (remote); Montreal, Canada (remote); Ottawa, Canada (remote); Quebec, Canada (remote); Toronto, Canada (remote); Vancouver, Canada (remote); Victoria, Canada (remote)
RemoteFull-timePython · SQL
Launch Potato

Lead Data Scientist, AdTech

9 days ago
Launch Potato · Chicago, IL (remote); Columbus, OH (remote); Detroit, MI (remote); Kansas City, KS (remote); Madison, WI (remote); Saint Louis, MO (remote)
RemoteFull-timePython · SQL
Launch Potato

Lead Data Scientist, AdTech

9 days ago
Launch Potato · Austin, TX (remote); Dallas, TX (remote); Oklahoma City, OK (remote)
RemoteFull-timePython · SQL
Further

Senior Technical Analyst

9 days ago
Further · Cleveland, OH
On-siteFull-timePython · SQL
Accenture Federal Services

AI and Data Engineer

9 days ago
Accenture Federal Services · Tampa, FL
On-siteFull-timePython · SQL
RxSense

Senior Data Engineer

9 days ago
RxSense · Remote-US
RemoteFull-timePython · SQL
InMarket

Sr. Data Scientist - Measurement

10 days ago
InMarket · Remote (US-Only)
RemoteFull-timePython · SQL
tastylive

Data Engineer

10 days ago
tastylive · Chicago, IL
HybridFull-timePython · SQL
tastytrade

Data Engineer

10 days ago
tastytrade · Chicago, IL
HybridFull-timePython · SQL
Qventus

Senior Data Engineer

10 days ago
Qventus · Remote, United States
RemoteFull-timePython · SQL
Moloco

Staff Software Engineer - AI Applications

10 days ago
Moloco · Menlo Park, CA
On-siteFull-timePython · TensorFlow
Anthropic

Financial Data and Controls Lead, Billing Platform

10 days ago
Anthropic · San Francisco, CA
$200k–300kOn-siteFull-timePython · SQL
Accenture Federal Services

Data Architect (DataOps) - SME

10 days ago
Accenture Federal Services · Chantilly, VA
On-siteFull-timeApache Spark · PostgreSQL
AB InBev  | Growth Group

Intermediate Data Engineer

10 days ago
AB InBev | Growth Group · Remote, Brazil
RemoteFull-timePython · SQL
STR

Lead Network Systems Researcher

10 days ago
STR · Arlington, VA
On-siteFull-timePython · TensorFlow
STR

Lead Network Systems Researcher

10 days ago
STR · Woburn, MA
On-siteFull-timePython · TensorFlow
Sparksoft Corporation

Data Quality Analyst II

10 days ago
Sparksoft Corporation · Maryland, MD
HybridFull-timeSQL · Python
Penn Interactive

Senior Data Engineer

10 days ago
Penn Interactive · Remote, Canada
RemoteFull-timePython · SQL
Penn Interactive

Senior Data Engineer

10 days ago
Penn Interactive · Remote, United States
RemoteFull-timePython · SQL
FanDuel

Data Engineer

10 days ago
FanDuel · Atlanta, GA
$110k–150kOn-siteFull-timePython · SQL
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Launch Potato

Lead Data Scientist, AdTech

Launch Potato · Mississauga, Canada (remote); Montreal, Canada (remote); Ottawa, Canada (remote); Quebec, Canada (remote); Toronto, Canada (remote); Vancouver, Canada (remote); Victoria, Canada (remote) · posted 9 days ago
ApplyFull posting

Extracted from the posting

Base
Not stated
Remote
Remote-first, most company works East Coast hours
Funding
Profitable and bootstrapped
Stack
Python, SQL, TensorFlow, Pandas

The posting, condensed

Build ML models for auto insurance marketplace bidding and carrier assignment. Work with ML engineer on production deployment. Use Python, SQL, AWS (SageMaker, S3, Athena, ECS).

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.

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

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.