{"id":708834,"url":"https://alion.io/job/haystack-senior-data-scientist","title":"Senior 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":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fort Lauderdale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":185000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Haystack","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"XGBoost","optional":false},{"name":"dbt","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-03-17T19:37:14Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-11-13T04:33:55Z","board_verified":true,"closed_at":null,"days_open":240,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":240},"description":"Haystack News, the number one destination for news on streaming platforms, is looking for a Sr Data Scientist to join our team. Haystack is trusted by over 30 million viewers and is among the fastest-growing TV news companies in the world.\nJoin our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining user experiences through cutting-edge algorithm enhancements. In this role, you'll leverage your advanced statistical analysis, modeling, causal inference, experimental design (A/B testing) and data analytics expertise to drive substantial improvements in user engagement and retention, directly impacting our product's success. This is an exceptional opportunity to showcase your robust problem-solving capabilities and to thrive in a collaborative environment, working alongside a team of passionate professionals dedicated to innovation and excellence. Be part of a dynamic workplace where your contributions make a meaningful difference and help shape the future of news consumption.\nMINIMUM QUALIFICATIONS\nPhD or M.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations Research with 5+ years of professional experience in data science, machine learning or related quantitative field\n\n3+ years of professional experience with large-scale online ranking/recommender systems (for news feeds, shopping, ads, music, etc).\n\nDeep expertise in statistical inference and experimental design: hypothesis testing, power/sample size calculations, variance reduction, etc.\n\nProficiency in causal inference methods to measure product impact.\n\nProven ability to translate offline analysis into product decisions and measurable improvements in online metrics.\n\nFluency in the Python analytics stack (pandas, NumPy), statistical modeling (statsmodels or scikit-learn) and machine learning packages such as LightGBM and XGBoost.\n\nStrong experience with SQL (e.g. postgres, snowflake, etc).\n\nPREFERRED QUALIFICATIONS:\nExperience working on consumer-facing products with millions of users.\n\nHands-on experience with orchestration/transformation tools (e.g. dbt and Airflow).\n\nExperience with deep learning and being familiar with tools such as PyTorch or TensorFlow.\n\nHands-on development of products/tools incorporating GenAI, LLMs, RAG, and/or Agents.\n\nRESPONSIBILITIES\nBuild statistical and machine learning models to improve content discovery and user engagement.\n\nWork closely with ML engineers to translate models and insights into production systems.\n\nHave curiosity and apply analytical skills to dive deep into data to find key insights that would impact the business.\n\nApply causal inference methods to understand the impact of potential product changes.\n\nDefine and build new ML features using text and multimodal embeddings and GenAI.\n\nValidate offline learnings with online outcomes through AB testing. 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