{"id":1271077,"url":"https://alion.io/job/early-media-lead-data-scientist","title":"Lead Data Scientist","company":{"id":674338,"name":"Early Media","domain":"early.media","url":"https://alion.io/company/early-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":240000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":246},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"dbt","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-25T22:48:34Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T17:24:09Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Early Media\nEarly Media is creating and distributing groundbreaking original series. We craft narratives with viral potential while preserving the heart of indie production, telling meaningful stories audiences actually care about. Every creative decision is sharpened by a proprietary testing and marketing engine that collapses the distance between filmmaker and audience into the tightest iteration loop in the industry.\nWe're hiring a senior data scientist to own applied data science for Twist and our Analytics Engine - modeling what makes content perform, how audiences convert from discovery to premium viewing, and how early signals predict which pilots are worth greenlighting. This is a hands-on modeling and analysis role where you will work alongside our Junior Data Analyst (pairing and mentoring), partner with our senior data science advisor and operate within the analytical roadmap set by the Director of Research.\nWhat you'll own\nApplied modeling for the Analytics Engine - content performance scoring, engagement classification, sentiment analysis, and campaign attribution.\n\nThe pilot performance prediction loop - forecasts vs. actual outcomes, calibration, and accuracy tracking.\n\nModeling of Twist user behavior post-launch - acquisition attribution, watch-depth, retention, and conversion from campaign touch to in-app engagement.\n\nAudience segmentation with real analytical depth, not surface-level demographics.\n\nMentorship of our data analyst, and the team's overall statistical rigor.\n\nTurning findings into recommendations Producers and leadership can actually act on.\n\nMust-haves\nSkeptical of metrics that look good but don't actually predict outcomes.\n\n6+ years of hands-on data science work with real, measurable business impact.\n\nStrong Python and SQL, with a solid grounding in statistics, experimental design, and ML fundamentals.\n\nNLP experience - sentiment analysis, text classification, and comfort working with LLM-based pipelines.\n\nAttribution modeling experience, ideally where attribution is genuinely hard (short-form video, organic social, multi-touch).\n\nAble to take an analytical agenda and run with it without daily direction.\n\nCan explain findings clearly to people who aren't data scientists.\n\nNice to Have\nMedia, streaming, entertainment, or creator economy experience.\n\nRecommendation systems or content discovery ML background.\n\nExperience with modern data stacks (Snowflake, dbt, lakehouse architectures).\n\nExperience with LLM evaluation, prompt versioning, or agentic workflow patterns.","description_format":"text","description_chars":2547,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T00:10:31Z"}],"liveness":{"score":82,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.819,"p_room":1,"age_days":4,"expected_fill_days":23,"reasons":["conf:6","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/early-media-lead-data-scientist","json_url":"https://alion.io/job/early-media-lead-data-scientist.json","meta":{"generated_at":"2026-10-01T00:02:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":23,"day_limit":5000,"remaining_today":4977,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}