{"id":3007862,"url":"https://alion.io/job/launch-potato-staff-data-scientist-lead-generation-12","title":"Staff Data Scientist, Lead Generation","company":{"id":69,"name":"Launch Potato","domain":"launchpotato.com","url":"https://alion.io/company/launch-potato","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Mississauga, Canada","Montreal, Canada","Ottawa, Canada","Quebec, Canada","Toronto, Canada","Vancouver, Canada","Victoria, Canada"],"countries":["CA"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":72000,"max_usd":144000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-10-21T13:33:02Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-21T19:16:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"WHO ARE WE?\nLaunch 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.\nOur 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.\nWe run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries.\nWHY JOIN US?\nYou 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. \nYOUR ROLE\nYou'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.\nCarrier 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.\nThis 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.\nWe're remote first, and most of the company works East Coast hours.\nWHAT SUCCESS LOOKS LIKE\nBy day 60, you run our insurance marketplace media buying on your own.\nBy the end of your first year:\nClick wall serving that matches each user to the right carrier\nCarrier conversion data running in production models\nAutomated marketplace bidding taken from proof of concept to scale\nA clear approach for repeat users and sparse sessions\nProduction models that hold up through drift and changing objectives\nOutput the business trusts and uses without rework\nMUST HAVE\n5+ years of hands-on applied data science with measurable business impact\nYour models drove paid media decisions: spend, bidding or ad serving. Attribution and reporting alone don't qualify.\nYou built what's on your resume and can explain it down to the loss function and architecture choice, neural network fundamentals included\nYou see how today's bids shape tomorrow's training data, and you've handled late labels, sparse features or drift\nYou own models end to end: you find your own data, build through deployment and monitoring, and bring a point of view\nExpert Python and SQL\nNICE TO HAVES\nReal ad budget spent in live auctions\nLarge-scale ranking or recommendation systems\nExplaining tradeoffs to non-technical partners in plain terms\nDesigning for auction feedback loops, selection bias and exploration\nHands-on neural network work, such as embeddings of text, creative or user behavior\nAWS for data science: ECS, S3, Athena, SageMaker\nCI/CD deployment\nWant to accelerate your career? Apply now!\nSince 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. \nWe 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.","description_format":"text","description_chars":4097,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Lead Generation","Digital Media","Financial Comparison & Loan Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-21T14:25:10Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:0","win:early"],"computed_at":"2026-10-21T20:08:29Z"},"pay":null,"html_url":"https://alion.io/job/launch-potato-staff-data-scientist-lead-generation-12","json_url":"https://alion.io/job/launch-potato-staff-data-scientist-lead-generation-12.json","meta":{"generated_at":"2026-10-21T20:08:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":28657,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":69},"rest":"https://alion.io/mcp/rest/get_company?id=69"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flaunch-potato-staff-data-scientist-lead-generation-12"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flaunch-potato-staff-data-scientist-lead-generation-12"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flaunch-potato-staff-data-scientist-lead-generation-12"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/launch-potato-staff-data-scientist-lead-generation-12\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flaunch-potato-staff-data-scientist-lead-generation-12"}]}