{"id":4102063,"url":"https://alion.io/job/smadex-data-scientist-smadex-slu-2","title":"Data Scientist - Smadex SLU","company":{"id":53829,"name":"Smadex","domain":"smadex.com","url":"https://alion.io/company/smadex","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-11T21:56:18Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T21:56:18Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Smadex is a performance advertising engine for mobile apps, enabling the world's leading marketers to grow across Mobile and Connected TV (CTV). Powered by cutting-edge data architecture and predictive analytics trained on real campaign outcomes, Smadex delivers profitable growth at scale. Headquartered in Barcelona, with teams across the Americas, EMEA, and APAC, Smadex is a business unit of Entravision (NYSE: EVC).\nAbout the Role\nWe are seeking an analytical, detail-driven Data Scientist (CTV Analytics)to join our New York team. In this individual contributor role, you will focus on optimizing how we buy, deliver, and measure performance across Connected TV (CTV) inventory.\nYou will dig into massive volumes of streaming and programmatic bidstream data, diagnosing performance bottlenecks, testing buying strategies, and providing actionable recommendations to maximize ROAS and campaign scale for our advertising partners.\nResponsibilities\nCTV Strategy Optimization:Analyze campaign delivery, bid shading, floor pricing, and fill rates across streaming platforms and SSPs to optimize buying strategies.\nPerformance Deep-Dives:Run exploratory analyses and statistical deep-dives to diagnose fluctuations in campaign performance, inventory quality, and ad spend efficiency.\nData-Driven Insights:Translate complex auction telemetry and viewing signals into clear, actionable recommendations for our commercial, programmatic operations, and product teams.\nMetric Definition & Reporting:Build reliable, repeatable analytical workflows and ad-hoc statistical summaries to evaluate cross-device reach and frequency.\nCross-Functional Collaboration:Work closely with the US Data Lead and Machine Learning team to validate hypotheses and measure the commercial impact of optimization changes.\nRequirements\nBachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).\n1-2 years of professional experience analyzing large datasets (internships or relevant analytical projects included).\nStrong SQL proficiency (complex joins, window functions, query optimization on massive databases).\nPractical experience working in Python or R for data wrangling, exploratory statistical analysis, and visualization.\nSolid understanding of foundational statistics (distributions, correlation vs. causation, hypothesis testing).\nCurious, proactive mindset with strong problem-solving skills and attention to data edge cases.\nFamiliarity with Connected TV (CTV), digital advertising, or auction systems is a distinct advantage, but not strictly required.\nMust be legally authorized to work in the United States without current or future sponsorship needs.\nPlease note that we do NOT provide VISA sponsorship. 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