{"id":725896,"url":"https://alion.io/job/verve-senior-data-scientist","title":"Senior/Staff Data Scientist","company":{"id":685031,"name":"Verve","domain":"verve.com","url":"https://alion.io/company/verve-6","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":139000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Google BigQuery","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-07T10:44:42Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T11:30:45Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":114},"description":"Who We Are\nVerve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers-no matter the screen or location, no matter who, what, or where a customer is. With offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at verve.com. \n\nSenior / Staff Data Scientist (IC4/IC5) - Yield Optimization\nResponsibilities\nLead the research and modeling behind the Yield Optimization portfolio: Demand Shaping, Floor Optimization and Bid Optimization.\nTurn business problems in programmatic auctions into well-posed modeling problems, with clear objectives, constraints and success metrics such as revenue and margin per bid request.\nBuild and validate models for bidding, reserve prices and traffic shaping, using auction theory, causal inference, forecasting and online learning methods such as bandits.\nKnow the bid-stream data in depth: find biases, leakage and data-quality problems, and design features that hold up in production.\nIdentify and champion new methods to maintain Verve's competitive edge in yield optimization.\nPlan and execute large-scale initiatives with significant impact, managing multiple interdependencies and cross-team collaborations.\nWork with ML engineers to take models to production: set the latency and feature requirements, review the serving design, and own model quality after launch.\nAct as a technical leader and mentor to other data scientists and engineers across distributed teams.\nRefine team problem-solving tools, methodologies, and technical documentation to uplift the overall team competency.\nPartner closely with Product Management, ML Engineering and Backend Engineering to align long-term technical roadmaps with business strategy.\nStay hands-on: write production-quality model code, run the statistical analysis behind major decisions, and design and read A/B tests and offline evaluations.\nRequired Skills\n5+ years in data science or applied ML, with models you built running in production and a measurable business impact.\nExtensive AdTech industry expertise, with deep knowledge of programmatic auctions, supply/demand matching, and real-time bidding optimization.\nStrong foundations in statistics, probability and optimization, with applied experience in at least one of auction theory, causal inference or experimental design.\nMaster-level proficiency in Python and SQL.\nDeep expertise in ML methods and frameworks (Scikit-learn, gradient boosting, PyTorch or TensorFlow), including model selection, validation and offline evaluation.\nHands-on analysis of large datasets with BigQuery and PySpark, and model training on a cloud platform such as Vertex AI.\nWorking knowledge of real-time model serving, enough to design models that meet latency and feature constraints.\nExceptional communication skills with the ability to influence technical and non-technical stakeholders across the organization.\nAbility to navigate and align multiple teams around long-term technical visions and modeling standards.\nAdvanced degree (Master's or PhD preferred) in a quantitative field (Applied Mathematics, Statistics, Computer Science, or Physics).\nVerve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. \nIf you are a California resident subject to the California Consumer Privacy Act, click here to understand how Verve processes your personal information and how you can exercise your rights.\nIf you are located in the EU or UK visit our privacy policy to understand how Verve processes your personal information and how you can exercise your rights.","description_format":"text","description_chars":4221,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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