{"id":3266196,"url":"https://alion.io/job/omnicom-director-data-science-4","title":"Director, Data Science","company":{"id":720301,"name":"Omnicom","domain":"omc.com","url":"https://alion.io/company/omnicom","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":86,"ghost_share":0,"stale_share":0.849,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":143000,"max_usd":268000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":7,"visa_sponsorship":false,"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":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-03T01:22:51Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Agency:\nOmnicom MediaJob Function:\nData and AnalyticsJob Subfunction:\nData Science and AIJob Description:\nPHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world’s leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world’s largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work.\nTeam Overview\nAt PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions.\nOur data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, and cross channel customer experience.\nThe Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients’ business goals.\nResponsibilities\nExternal facing responsibilities: \nPartner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle. \nBuild advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers \nRun descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.) \nHelp develop strategic analytical roadmaps to institutionalize data driven outcomes \nExcellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence \nLeverage technical (coding) expertise to help bring about process efficiencies \nInternal facing responsibilities: \nBuild and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences \nHelp design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision \nLead and train direct reports and manage their career progression\nRequired Skills\nHands-on programming language skills (SQL, Python, R, etc) \nExperienced in machine learning techniques, causal models, etc. to support the analysis of information \nAdvanced presentation and communication skills \nExperience working with non-technical teams \nClear understanding of digital clean rooms, and their related concepts and strategy \nCertifications in any of the following: Meta (Blueprint), SQL, Python, R (online) \nExpert-level domain knowledge of business/industry \nEducation and Experience\nA university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting \nKnowledge of agency-side execution process is desirable, but not required \n\n$160,000\nTo the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.\nOmnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.\nLink to Recruitment Privacy Notice: https://www.omc.com/privacy-notice\nFor US Job Seekers:\nIt is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. 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