{"id":2120512,"url":"https://alion.io/job/depop-product-data-scientist","title":"Senior Product Data Scientist","company":{"id":51473,"name":"Depop","domain":"depop.com","url":"https://alion.io/company/depop","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":137000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Gemini","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-28T21:36:14Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":69},"description":"Company Description\nDepop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.\nFounded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.\nPowered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com\nWe aim to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users.\nWe’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.\nAI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.\nIf, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to .\nWe're looking for a Senior Product Data Scientist to join our Insights team and support our Shipping teams. You'll partner closely with product, operations, engineering and machine learning to deliver insights, drive experimentation and shape how every item moves from seller to buyer.\nThis role sits at the intersection of technical excellence and strategic impact. You'll dive deep into data, pipelines and experimentation frameworks while shaping shipping strategy, product direction and commercial outcomes.\nWhat You’ll Do\nLead analytics and technical discovery for Shipping\nBe the go-to senior data scientist for the Shipping teams. You'll build a deep understanding of buyer and seller behaviour, carrier and label economics, and the end-to-end delivery experience. You'll partner with product, operations, engineering and ML on ambiguous problems where the path forward is unclear. You'll find opportunities for analysis on your own, develop new approaches where existing methods fall short, and produce insights that directly shape the shipping roadmap.\nInfluence product and business strategy\nShipping is full of big, open-ended problems. You'll pin down the right question and turn the answer into a decision the team can act on. You'll connect user behaviour, marketplace dynamics and shipping unit economics to commercial outcomes, and influence prioritisation at both team and company level as a thought partner. You'll challenge assumptions and raise the quality of decision making.\nDesign and run experiments\nDefine hypotheses, implement A/B tests and rigorously evaluate impact, with deep dives into customer behaviour that inform rollout decisions and future product development. Where a clean A/B test isn't possible, such as pricing or carrier changes that roll out by region, choose and defend the right alternative design.\nWork with other teams to enable self-serve, data-driven decision making\nCollaborate with product, platform and data teams to ensure scalable, accurate datasets for shipping analysis. Develop dashboards and reporting that drive awareness and actionable insights.\nWhat we're looking for\nStrong SQL skills and experience querying large, complex datasets\nProficiency in Python, with experience in advanced analytics techniques such as causal inference, forecasting or cost modelling\nA strategic thinker, comfortable structuring a nebulous problem and working it through to a clear recommendation\nFamiliarity with ETL workflows and debugging data issues\nProven experience designing and interpreting experiments, including when clean randomisation isn't possible\nHands-on experience with visualisation tools (Looker, Tableau or similar)\nExcellent communication skills, able to explain complex topics clearly and persuasively\nCommercial mindset with the ability to balance user and business needs\nStrong sense of ownership, highly organised and proactive\nComfortable working across ambiguity and fast-changing environments\nBonus points\nExperience in C2C marketplaces or mobile-first consumer products\nExperience in shipping, logistics or marketplace unit economics\nExperience working alongside machine learning teams, analysing model outputs or supporting ML evaluation workflows\nAdditional Information\nHealth + Mental Wellbeing\nPMI and cash plan healthcare access with Bupa\nSubsidised counselling and coaching with Self Space\nCycle to Work scheme with options from Evans or the Green Commute Initiative\nEmployee Assistance Programme (EAP) for 24/7 confidential support\nMental Health First Aiders across the business for support and signposting\n\nWork/Life Balance:\n25 days of annual leave with the option to carry over up to 5 days\nImpact hours: Up to 2 days of additional paid leave per year for volunteering\nFully paid 4-week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.\nFlexible Working: MyMode hybrid-working model with Flex, Office-Based, and Remote options *role-dependent\nAll offices are dog-friendly\nFamily Life:\nFor birth parent: 20 weeks of paid parental leave for full-time regular employees\nFor non-birth parents: 12 weeks of paid parental leave for full-time regular employees \nIVF leave, shared parental leave, and paid emergency parent/carer leave\nLearn + Grow:\nTwice-yearly development chats and yearly performance reviews\nLearning budget\nUpskilling our employees with company-wide training workshops, materials and resources\nYour Future:\nLife Insurance (financial compensation of 3x your salary)\nPension matching up to 6% of full base salary with Aviva\nDepop Extras:\nIn-office Depop Shop (that’s free!) and a packing station with free delivery.\nSpecial milestones are celebrated with gifts and rewards!","description_format":"text","description_chars":7075,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Secondhand"],"lifecycle":[{"event":"open","at":"2026-10-08T23:57:16Z"},{"event":"close","at":"2026-10-17T01:23:07Z"},{"event":"reopen","at":"2026-10-21T20:24:12Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-28T06:26:45+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.689,"p_room":0.28,"age_days":69,"expected_fill_days":26,"reasons":["conf:1","velocity","win:tail","crowd:"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/depop-product-data-scientist","json_url":"https://alion.io/job/depop-product-data-scientist.json","meta":{"generated_at":"2026-10-29T03:57:41Z","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":6047,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":51473},"rest":"https://alion.io/mcp/rest/get_company?id=51473"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdepop-product-data-scientist"},{"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%2Fdepop-product-data-scientist"},{"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%2Fdepop-product-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/depop-product-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdepop-product-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2120512}},{"tool":"search_jobs","arguments":{"company":"depop.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2120512},"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"}}