{"id":3966984,"url":"https://alion.io/job/tails-com-data-scientist","title":"Data Scientist","company":{"id":172465,"name":"tails.com","domain":"tails.com","url":"https://alion.io/company/tails-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Richmond, United States"],"countries":["US"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Dagster","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T10:46:25Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T14:37:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who are we?\nHi, we’re Tails.com - we turn good days into great years for dogs and their humans.\nWe're working towards longer lives for millions of healthy, happy dogs by providing tailored nutrition that adapts to each dog’s unique needs. It all starts with a few simple questions about their age, breed, zoomie level and tastebuds. From there, owners can create a personalised meal plan that's delivered to their door every month. No guesswork, no overwhelm. Just exactly the right care for every dog, every day. It's pretty clever stuff.\nAs a certified B Corp, being a responsible business is built into how we work - upholding high social and environmental standards to create better walkies for generations to come.\nNow, we’re cooking up big plans. Having created an entirely new category in dog food, we have the backing of Purina - one of the world’s largest pet food companies. You’ll join a bunch of smart people working towards these same goals (and a bunch of very smart office dogs, all working on their own thing).\nJob Title\nData Scientist\nReporting of the role\nReports to: Senior Analytics Manager\nOverview of the job\nThe Data Scientist will own Tails.com 's predictive modelling and machine learning work, with a primary focus on improving customer lifetime value (LTV) and driving more sustainable, profitable growth.\nThey will build and develop models that help the business better understand which customers are likely to stay, spend and engage long-term, using these insights to improve acquisition strategies, customer retention and the overall customer experience.\nThe role will work closely with Performance Marketing, CRM, Customer Experience & Retention, Product, Finance, Engineering and Data teams, taking ownership of projects from identifying opportunities and building models through to testing, implementation and measuring commercial impact.\nThe focus isn't simply on building models, but on turning data science into practical business decisions that improve how Tails.com acquires and retains customers.\n\n3 best things about the job\n1. Ownership & influence: Own the predictive modelling and machine learning agenda, with the opportunity to shape the wider data science roadmap and influence business strategy.\n2. Commercial impact: Work on high-impact projects around customer lifetime value, acquisition and retention, with a direct link between your work and business growth.\n3. Cross-functional exposure: Partner with teams across Marketing, Product, Finance, Customer Experience and Technology, seeing your work implemented across the business.\nMeasures of success - In the first few months, you would have:\nBuilt strong relationships with key stakeholders across Performance Marketing, CRM, Product, Finance, Customer Experience and Technology.\n\nDeveloped a strong understanding of Tails.com 's customer lifecycle, existing data infrastructure, models and commercial priorities.\n\nTaken ownership of the customer lifetime value modelling roadmap, identifying opportunities to improve existing predictions.\n\nStarted developing and implementing predictive models to help improve customer acquisition, trial conversion and retention.\n\nIdentified opportunities to embed data-driven insights into CRM and paid media activity, with clear testing plans to measure commercial impact.\n\nRoles & Responsibilities:\nLifetime value, predicted lifetime value and acquisition signals\nOwn our lifetime value model, building on the models and definitions we already have rather than starting again, and agree one definition of lifetime value, CAC and payback with Finance and Analytics\n\nPredict each new customer's lifetime value as early as possible after sign-up, from acquisition source, behaviour, dog and plan data and early engagement\n\nSend that prediction to our acquisition partners (such as Meta and Google) so they optimise towards customers likely to stay rather than cheap sign-ups, and check with Marketing and Engineering that the events we send are complete, timely and matched to the right customers\n\nCompare channels by the value their customers go on to create, not only cost per sign-up\n\nAs the value work matures, help build marketing mix modelling that shows how spend across channels drives valuable customers, building on the measurement we already have\n\nConversion and early-life retention\nFind where and why trial customers do not become paying customers, and test the changes that improve trial-to-paid conversion without relying solely on discounts\n\nDecide which new customers need extra support in their first months, what kind, and while there is still time to change the outcome, matching risk and value to the actions most likely to work\n\nRun controlled tests with CRM and Customer Experience & Retention that measure the extra conversion, retention and retained value they create\n\nExperiment standards\nSet the minimum test and holdout standards for this work, so every result can show what it caused\n\nProduction and monitoring\nDeploy models to production with help from our data engineering team, and monitor their health, drift and retraining so problems are caught and fixed quickly\n\nWhat you will need:\n2-4+ years in a data science role, with a proven track record of deploying statistical and machine learning models on complex, messy, real-world data, and showing the business impact they had\n\nExperience building customer lifetime value, survival, propensity or churn models, ideally for a subscription business and used to drive CRM or marketing activity\n\nStrong experimental design and causal inference: A/B tests, holdouts and control groups, uplift measurement and incrementality\n\nExperience feeding model outputs into paid media, such as value-based bidding, offline or server-side conversion events, or predicted-value audiences on Meta or Google\n\nExperience with marketing mix modelling or attribution\n\nA bachelor's or master's degree in a STEM related field\n\nAdvanced proficiency in Python and SQL with extensive experience working with core data science libraries (e.g. pandas/polars, scikit-learn)\n\nFamiliar with cloud platforms (e.g. AWS) and orchestration tools (e.g. Airflow, Dagster) in relation to operationalising data science products\n\nExperience leveraging Snowflake ML and robust data pipelines to deliver scalable, production-ready data science solutions\n\nA decision-first mindset: you start from the business decision and its owner, and you're comfortable recommending to stop when a test doesn't deliver\n\nHighly Desirable: Subscriptions or D2C business experience\n\nA few of our core benefits:\nPrivate Healthcare through AXA\n\nA 9 day fortnight - our office is closed every other Friday!\n\n25 days of Annual Leave and 8 additional remote working days\n\nFor more information on our benefits, perks and what makes us unique, please visit our website here\nWhat’s next?\nIf this sounds like it matches your experience and what you’d love to do, we can’t wait to hear from you! If you’re unsure whether you fit our criteria exactly, please get in touch anyway. And because we believe that diverse teams perform better, we’d especially love to hear from you if you’re from an under-represented demographic.\nHere’s a taster of how our recruitment process works:\nOnce you have applied your CV will be reviewed by the Talent Acquisition Team.\n\nIf selected, you will then have a call with the TA Team who will tell you more about us and the role, as well as learning more about your skills and experience.\n\nShould you be successful, the next stage will be a video call with the hiring manager.\n\nIf successful, you will be invited to present a task back to a panel of interviewers.\n\nThe final stage is a more informal conversation with some of your peers.\n\nOur Commitment\nWe’re proud to be an active equal opportunity employer. We want to give everyone a fair chance to join us in changing the world of pet food for good. We do this by conducting a structured recruitment process for all candidates, as well as actively promoting our roles to communities that are under-represented at Tails.com.\nDuring your interview process you’ll meet some of our team with varying levels of responsibility and experience. We want to give every candidate a fair interview process and if you need any reasonable adjustments made, please let us know.","description_format":"text","description_chars":8297,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Pet Food, Supplies & Care","Nutrition & Dietetics"],"lifecycle":[{"event":"open","at":"2026-11-09T14:37:38Z"}],"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":25,"reasons":["conf:1","win:early","comp:junior"],"computed_at":"2026-11-09T16:09:09Z"},"pay":null,"html_url":"https://alion.io/job/tails-com-data-scientist","json_url":"https://alion.io/job/tails-com-data-scientist.json","meta":{"generated_at":"2026-11-09T16:09:09Z","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":23257,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":172465},"rest":"https://alion.io/mcp/rest/get_company?id=172465"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftails-com-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Ftails-com-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Ftails-com-data-scientist"},{"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/tails-com-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftails-com-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3966984}},{"tool":"search_jobs","arguments":{"company":"tails.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3966984},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}