{"id":1361062,"url":"https://alion.io/job/omnicom-analyst-data-science","title":"Analyst, 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":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":55000,"max":65000,"currency":"USD","period":"year","gross":null,"usd_annual":65000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Structured Outputs","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Python","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Statsmodels","optional":true}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-01T17:38:38Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Agency:\nOmnicom MediaJob Function:\nData and AnalyticsJob Subfunction:\nData Science and AIJob Description:\nPosition Summary\nWe are looking for a Data Science Analyst to join our growing data science practice. In this role, you will support the development and delivery of quantitative models and analyses across a portfolio of marketing clients, including predictive modeling, regression analysis, and statistical work spanning media, pricing, and promotional data. This is a great entry point for someone with a strong statistics background who wants to apply analytical skills in a fast-paced, client-service environment.\nKey Responsibilities\nBuild and maintain data science models such as Marketing Mix Models using regression-based techniques, working with weekly or monthly time-series data across media, pricing, and promotional variables.\nConduct data validation, cleaning, and QA on client-provided datasets to ensure model-ready inputs.\nRun statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs.\nSupport model documentation and prepare structured outputs (Excel workbooks, charts, summary tables) for internal and client review.\nCollaborate with senior team members on methodology decisions and model refinement.\nContribute to internal tooling and process improvements as the team scales.\nDesired Skills & Experience\nBachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.\nStrong foundation in statistical modeling, particularly regression analysis and time-series methods.\nComfort working in Python or R for data manipulation, modeling, and visualization (pandas, statsmodels, scikit-learn, or equivalent).\nFamiliarity with concepts such as multicollinearity, heteroscedasticity, model fit diagnostics, and variable selection.\nAttention to detail and the ability to work carefully through large, messy datasets.\nClear written communication skills for documenting analytical work.\nExposure to Bayesian methods or hierarchical modeling.\nExperience with marketing data (media spend, impressions, GRPs) or consumer datasets.\nPrior internship or academic project experience in an applied analytics setting.\n\nSalary Range: $55,000 - $65,000\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/","description_format":"text","description_chars":3105,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Multimodal AI"],"lifecycle":[{"event":"open","at":"2026-09-27T23:53:25Z"}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.476,"p_room":0.55,"age_days":21,"expected_fill_days":15,"reasons":["conf:28","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":65000,"is_top_pay":false},"html_url":"https://alion.io/job/omnicom-analyst-data-science","json_url":"https://alion.io/job/omnicom-analyst-data-science.json","meta":{"generated_at":"2026-10-01T20:13:48Z","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":2848,"day_limit":5000,"remaining_today":2152,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}