{"id":1125837,"url":"https://alion.io/job/delan-associates-sr-data-scientist","title":"Sr. Data Scientist","company":{"id":690244,"name":"Delan Associates","domain":"delanhq.com","url":"https://alion.io/company/delanhq","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":80,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":604},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-22T20:29:23Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-28T02:50:25Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description:\nInterviews: Live, Technical Hands On\nAbout the Role\nWe're looking for a Data Scientist to join a team focused on advertising inventory modeling and capacity forecasting for client's subscriber base. This team builds models that match commercials and ads to subscriber profiles based on viewing behavior, identifies gaps in that targeting, and works to fill them through marketing data. A core part of the role is forecasting available advertising capacity - balancing sold vs. unsold airtime, and understanding the difference between acquired inventory and Spectrum's own inventory, as well as true demand vs. true capacity.\nThe team works with a blend of client's proprietary subscriber data and third-party data sources. Notably, data from Cox - previously treated as third-party - became first-party data as of a recent company merger, and this shift is actively being incorporated into forecasting models.\nThis is a great opportunity for a data scientist who enjoys applied modeling work with real business impact, in a fully cloud-based environment.\nWhat You'll Do\nBuild and maintain models that align advertising inventory with subscriber viewing profiles\nForecast advertising capacity, including sold vs. unsold airtime and acquired vs. owned (Spectrum) inventory\nWork with both first-party (Charter, and now Cox) and third-party data sources\nIncorporate newly integrated first-party data (from the Cox merger) into existing forecasting models\nCollaborate with a cross-functional team, following established CI/CD practices\nTake on light data engineering tasks as needed to support modeling work\nWhat We're Looking For\nSolid, practical data science experience - this is not a role requiring deep specialization or \"absolute expert\" level skills\nSomeone who understands what they're doing and can work independently on modeling problems\nExperience working as part of a team, ideally with exposure to CI/CD processes\nComfort doing some data engineering work in support of modeling (not a pure modeling-only candidate)\nCandidates from a Finance background are not a strong fit for this role\nTech Stack\nLanguages/Tools: Python, SQL\nTime series & Forecasting Experience\nData Warehouse: Snowflake (corporate data warehouse)\nCloud: AWS (fully cloud-based - no on-prem infrastructure)\nML Tooling: Various data science libraries\nNice to Have: SageMaker, Airflow, PySpark","description_format":"text","description_chars":2385,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Stablecoins"],"lifecycle":[{"event":"open","at":"2026-09-22T21:34:21Z"}],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.843,"p_room":0.9,"age_days":4,"expected_fill_days":12,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/delan-associates-sr-data-scientist","json_url":"https://alion.io/job/delan-associates-sr-data-scientist.json","meta":{"generated_at":"2026-09-28T03:07:59Z","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":1979,"day_limit":5000,"remaining_today":3021,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}