{"id":3173286,"url":"https://alion.io/job/publicis-groupe-manager-data-science-2","title":"Manager, Data Science","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":27,"ghost_share":0,"stale_share":0,"repost_share":0.037,"time_to_fill_p50_days":10,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","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":{"min":88540,"max":141687,"currency":"USD","period":"year","gross":null,"usd_annual":141687},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-23T19:10:34Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-24T12:01:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Company Description\nSpark Foundry is a global media agency that exists to bring HEAT - Higher Engagement, Affinity, and Transactions - to brands. By combining flawless media fundamentals with aggressive innovation, Spark inspires consumers to pay more attention; to care more about our clients’ brands; and to buy more products and services from them.\nBalancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world’s best and most beloved brands and companies. We combine boutique-caliber insights and service with the buying clout and first-look access of a global leader, bringing the heat to challenger brands that want to act like giants, and to giant brands that want to act like challengers.\nWith a bottom-up culture that celebrates diversity and aims for all voices to be heard, Spark has become a magnet for the industry’s best talent, with one of the best retention rates in the industry. And by applying a whole-person approach to professional and personal development, Spark develops a workforce that is well prepared for today’s challenges, and also poised to create meaningful careers in the years to come.\nBecause we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights; content and creative production; communications and strategy; finance and marketing; and sociology, psychology, and other liberal arts disciplines.\nOverview\nThe Manager of Data Science is responsible for supporting advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with large individual- and transaction-level datasets to design and deliver best-in-class data science solutions that enable clients to identify, target, engage, and measure audiences with precision and efficiency. The data scientist must be able to translate across technical and non-technical collaborators in both directions: from client requirements to innovative data science solutions, and from quantitative results to business-relevant, actionable insights.\nResponsibilities\nNavigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions\nMonitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD\nDevelop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models as well as unsupervised clustering/segmentation\nDevelop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc.\nCollaborate with strategy teams to translate technical outputs into relevant business insights and recommendations that can be surfaced in a variety of settings, from client-facing discussions to dashboards\nCollaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement\nImplement a test-and-learn agenda to continuously refine data-driven media tactics, enabling rapid optimization\nProactively identify and pursue opportunities for developing new capabilities, demonstrating end-to-end project ownership from ideation through deployment\nContribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects\nDocument and share optimized, reusable code with data science colleagues using Git\nContinuously innovate, staying current with the latest technological developments and applying them to current workflows\nDeliver timely, accurate outputs aligned with client- and agency-defined best practices\nQualifications\n3+ years of data science experience with consumer data; marketing agency experience preferred\nDegree in Statistics, Data Science, or other quantitative fields\nDeep theoretical and practical understanding of statistical/ML techniques and experimental design\nHands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs; engagement with publisher walled gardens (AMC, ADH, etc.) a plus\nAdvanced proficiency with SQL for big data analytics and Python for production-ready workflow development\nExperience with Databricks or similar platforms, e.g. Snowflake, BigQuery, Redshift\nExperience building agentic workflows and integrating AI solutions into existing data and tech stacks\nAdditional Information\nOur Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.\nPublicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.\nIf you require accommodation or assistance with the application or onboarding process specifically, please contact .\nAll your information will be kept confidential according to EEO guidelines.\nCompensation Range: USD $88,540.00 - USD $141,687.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. 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