{"id":4309353,"url":"https://alion.io/job/spotify-data-scientist-discovery-mode","title":"Data Scientist - Discovery Mode","company":{"id":57,"name":"Spotify","domain":"spotify.com","url":"https://alion.io/company/spotify","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":13,"ghost_share":0,"stale_share":0.538,"repost_share":0.077,"time_to_fill_p50_days":51,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":116994,"max":167135,"currency":"USD","period":"year","gross":null,"usd_annual":167135},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-14T08:34:03Z","employer_posted_date":null,"last_verified_at":"2026-11-14T08:34:03Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify.\nWe're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead.\nIn this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.\nWhat You'll Do\nOwn the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization\n\nPartner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact\n\nDesign and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development\n\nConduct deep-dive analyses to assess model performance and translate findings into clear, actionable recommendations for product and business stakeholders\n\nBuild, maintain, and evolve dashboards that track model health, customer metrics, and program performance\n\nCollaborate with product managers, engineers, and cross-functional partners to align analytical priorities with squad goals and customer needs\n\nContribute to the broader Product Insights community by sharing best practices and helping raise the bar for analytics across Discovery Mode\n\nWho You Are\nYou have 4+ years of experience in a data science role and a degree in data science, statistics, economics, mathematics, or a related quantitative field\n\nYou have experience measuring customer outcomes, defining KPIs, and connecting analytical insights to product decisions\n\nYou know how to design and implement A/B tests, understand when experimentation is the right tool, and interpret results with appropriate rigor\n\nYou have experience evaluating machine learning model performance and partnering with ML engineers to improve model and customer outcomes\n\nYou are comfortable working in a highly technical environment and collaborating closely with engineering partners\n\nYou communicate complex statistical concepts clearly to both technical and non-technical audiences\n\nYou have strong data science fundamentals, including Python, SQL, BigQuery, dbt, data storytelling, and experience working within cross-functional product teams\n\nYou have experience in areas such as advertising measurement, recommendation systems, experimentation, or causal inference at scale\n\nWhere You'll Be\nWe offer you the flexibility to work where you work best! For this role, you can be within the EST timezone region as long as we have a work location.\n\nThis team operates within the Eastern Standard time zone for collaboration.\n\nThe United States base range for this position is $116,994 - $167,135 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.\nSpotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.Originally posted on Himalayas","description_format":"text","description_chars":5113,"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":["Equity","Health insurance","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Music Industry","Podcasting","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-11-14T10:46:04Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 95 · green card filings: 51","filings_12m":95,"filings_prev_12m":164,"green_card_filings_12m":51,"median_offered_wage_usd":205034,"route":null,"cap_exempt":false,"checked_at":"2026-11-14T07:33:33+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":15},{"country":"IE","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Irish employment permits in 12 months: 2","filings_12m":2,"filings_prev_12m":2,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Employment permits","cap_exempt":false,"checked_at":"2026-11-14T07:33:33+00:00","sources":["Department of Enterprise, Trade and Employment: employment permits issued to companies"],"filings_for_role_12m":0},{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"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":"2026-11-14T07:33:33+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":51,"reasons":["seen:0","win:early"],"computed_at":"2026-11-14T13:50:17Z"},"pay":{"stated_usd_annual":167135,"is_top_pay":true},"html_url":"https://alion.io/job/spotify-data-scientist-discovery-mode","json_url":"https://alion.io/job/spotify-data-scientist-discovery-mode.json","meta":{"generated_at":"2026-11-14T13:50:17Z","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":14327,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"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":57},"rest":"https://alion.io/mcp/rest/get_company?id=57"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspotify-data-scientist-discovery-mode"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fspotify-data-scientist-discovery-mode"},{"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%2Fspotify-data-scientist-discovery-mode"},{"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/spotify-data-scientist-discovery-mode\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspotify-data-scientist-discovery-mode"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4309353}},{"tool":"search_jobs","arguments":{"company":"spotify.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4309353},"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"}}