{"id":1397145,"url":"https://alion.io/job/havas-data-scientist-csa","title":"Data Scientist- CSA","company":{"id":3592,"name":"Havas","domain":"havas.com","url":"https://alion.io/company/havas","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":103,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"ETL/ELT","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-07-27T00:00:00Z","employer_posted_date":"2026-07-27","last_verified_at":"2026-10-05T00:50:41Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":70},"description":"Agency :\nPivotRootsJob Description :\nHavas CSA is looking for a Data Scientist to join our analytics team, working on marketing and media analytics problems across FMCG, BFSI, retail, and automotive clients. The role blends hands-on statistical/ML modeling with a strong understanding of media and marketing performance and requires the ability to translate business questions into data solutions that clients can act on.Key Responsibilities:\nBuild and maintain lead scoring models to prioritize high-intent customers/prospects for sales and marketing teams\n\nDevelop churn prediction models to identify at-risk customers and support retention strategies\n\nDesign and execute Media Mix Modeling (MMM) studies to measure channel-level marketing effectiveness and guide budget allocation\n\nWrite efficient SQL queries to extract, transform, and validate data from large marketing and transactional datasets\n\nBuild and productionize data pipelines and models in Python (pandas, scikit-learn, statsmodels, or equivalent)\n\nWork within Google Cloud Platform (GCP) - BigQuery, Cloud Run/Functions, IAM, and related services - to build scalable data workflows\n\nTranslate model outputs into clear, business-relevant recommendations for marketing and media teams\n\nCollaborate with client servicing, media planning, and analytics teams to embed data science outputs into campaign and business decisions\n\nStay current on marketing measurement approaches (attribution, incrementality, media effectiveness) and apply them to client problems\n\nRequired Skills & Experience:\nStrong proficiency in Python for data analysis and machine learning\n\nSolid SQL skills, comfortable working with large, complex datasets\n\nWorking knowledge of GCP, particularly BigQuery; familiarity with cloud-based data pipelines\n\nPractical experience building lead scoring and churn prediction models\n\nExperience with or strong conceptual understanding of Media Mix Modeling (e.g., adstock, saturation curves, Bayesian approaches such as Meridian, Robyn, or PyMC-Marketing is a plus)\n\nGood understanding of media and marketing concepts - campaigns, channels, funnels, attribution, and marketing KPIs\n\nAbility to communicate technical findings to non-technical stakeholders, including clients\n\nWillingness to build expertise in Google Ads Data Hub (ADH), or prior exposure to ADH study types (Frequency Analysis, Brand Lift, Path to Conversion, etc.)\n\nGood to Have:\nExperience with GA4, Google Ads, Meta Ads, or other marketing platform data\n\nExposure to reverse ETL / audience activation workflows\n\nExperience with Looker Studio, Power BI, or similar BI tools\n\nPrior experience in a media agency, ad-tech, or martech environment\n\nQualifications:\nBachelor's/Master's degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field\n\n2-5 years of relevant experience in data science/analytics roles (adjust per seniority)\n\nHere at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job\nContract Type :\nPermanentHere at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.","description_format":"text","description_chars":3680,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Creative Agencies","Personal Development"],"lifecycle":[{"event":"open","at":"2026-09-28T13:53:31Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.229,"p_room":0.28,"age_days":69,"expected_fill_days":29,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/havas-data-scientist-csa","json_url":"https://alion.io/job/havas-data-scientist-csa.json","meta":{"generated_at":"2026-10-05T03:28:27Z","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":4638,"day_limit":5000,"remaining_today":362,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}