{"id":708866,"url":"https://alion.io/job/haystack-data-scientist","title":"Data Scientist","company":{"id":678650,"name":"Haystack News","domain":"haystack.tv","url":"https://alion.io/company/haystack-4","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":49,"open_postings":20,"ghost_share":0.85,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lima, Peru"],"countries":["PE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":36000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"DynamoDB","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2025-06-20T20:27:39Z","employer_posted_date":"2025-06-20","last_verified_at":"2026-11-13T04:33:55Z","board_verified":true,"closed_at":null,"days_open":510,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":510},"description":"Haystack News is the leading local & world news service on Connected TVs reaching millions of users! This is a unique opportunity to work at Haystack News, one of the fastest-growing TV startups in the world. We are already preloaded on 37% of all TVs shipped in the US!\nBe part of a Silicon Valley startup and work directly with the founding team. Jumpstart your career by working with Stanford & Carnegie Mellon alumni and faculty who have already been part of other successful startups in Silicon Valley.\nYou should join us if you're hungry to learn how Silicon Valley startups thrive, you like to ship quickly and often, love to solve challenging problems, and like working in small teams.\nSee Haystack feature at Google IO: https://www.youtube.com/watch?v=-YawUi6qPck\nJob functions\nWe are looking for an outstanding Data Scientist to join Haystack and help improve the experience of millions of users that rely on Haystack to get the news every day.\nWithin the team you’ll find many opportunities to work on various aspects of Data Science, Machine Learning, and Data Engineering. 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