{"id":3383627,"url":"https://alion.io/job/omnicom-senior-associate-data-science","title":"Senior Associate, 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":82,"open_postings":80,"ghost_share":0,"stale_share":0.725,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":{"min":45000,"max":75000,"currency":"USD","period":"year","gross":null,"usd_annual":75000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-30T20:35:06Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Agency:\nOmnicom MediaJob Function:\nData and AnalyticsJob Subfunction:\nData Science and AIJob Description:\nAbout the Job\nBeauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for L’Oréal USA delivering an industry-leading agency solution that drives business growth and transformation.\nWith deep expertise in data and technology, we deliver audience first, full-funnel and omni-channel strategies to deliver against L'Oréal's mission: Create the Beauty that moves the world.\nFor over a century, L’Oréal has devoted its energy, innovation, and scientific excellence solely to one vocation: Creating Beauty with a main goal of offering each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity.\nAt Beauty Co-Lab, our mission is to co-create what's next and our team of beauty champions and media challengers possess modern media, commerce, and analytics skillsets to keep pace with the rapidly changing ecosystem and reflect the wonderful diversity of the consumers and communities we serve. We are passionate about beauty, media, data, and technology.\nAbout BCL Data Science: We are a team of engaged, data-curious professionals who continuously seek new and improved ways to create value for our clients. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.\nResponsibilities\nAs a member of the BCL data science team, you will work with client team strategists and media buyers to create solutions that shape the strategic direction of your client’s marketing plans through data-driven insights. You will collaborate with other data scientists to build new utilities, improve methodologies, and explore a wide variety of datasets. This work may involve:\nExploring and experimenting with datasets to draw insights and search for client-specific and general solutions\n\nUncovering audience insights for clients:\nGuiding non-technical stakeholders in choosing the right analysis to answer open-ended questions\n\nIndependently formulating and executing an analytics plan; iteratively building on client feedback to get to a satisfactory answer\n\nTranslating quantitative results back into actionable insights and interesting storytelling\n\nHands-on machine learning and statistical modeling for audience segmentation/extension\n\nCollaboratively ideating and building tools that process, visualize, and analyze data to share across the organization\n\nEvaluating new data and tools; quickly learning to navigate new platforms; extract, transform, and load data from various partner cloud storage solutions\n\nDocumenting and sharing knowledge with a wide variety of L’Oreal & BCL teams\n\nEducation & Experience\n1 to 2 years of relevant experience\n\nBachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields. Advanced quantitative degree or intensive bootcamp experience is preferred.\n\nMust have hands-on expertise in SQL and Python\n\nExperience with cloud computing such as Google Cloud Platform or AWS\n\nThis 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 relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.\n\nCompensation Range\n$45,000-$75,000 USD\nThis role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.\nOmnicom’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. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.\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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