{"id":3551286,"url":"https://alion.io/job/publicis-groupe-data-scientist-2","title":"Data Scientist 2","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":41,"ghost_share":0,"stale_share":0,"repost_share":0.049,"time_to_fill_p50_days":12,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-30T22:48:50Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T10:31:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Overview\nAbout Business Unit:\nThe Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry - from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600-member multinational team, the practice provides the automotive world’s largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and maintains relationships with over 280 million customers. Home to innovation and ground breaking technology, our Auto team leads the game in developing outstanding software and solutions for hyper-personalized digital marketing.\nRole Overview:\nThe Automotive Data Science team within Epsilon partners both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms.\nThe Data Scientist, II would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with partners.\nClick here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.\nResponsibilities\nApply AI, machine learning, and deep learning techniques including regression, classification, clustering, tree-based algorithms, support vector machines, neural networks, recommender systems, and marketing attribution models to solve complex business problems.\nDesign and implement end-to-end MLOps pipelines covering data ingestion, training, validation, deployment, and monitoring.\nSupport the deployment, monitoring, and maintenance of machine learning models in production, tracking model performance, data quality, scalability, and model drift to ensure reliable and sustained business value.\nEnhance existing analytical methodologies by identifying new data sources, engineering relevant features, experimenting with alternative algorithms, fine-tuning hyperparameters, and improving model performance and business outcomes.\nDefine analytical and technical requirements for developing scalable data science capabilities, machine learning platforms, data pipelines, and reusable analytical solutions.\nTranslate complex analytical findings and model outputs into actionable business recommendations, presenting insights effectively to partners\nAutomate data science and machine learning workflows to improve operational efficiency, reproducibility, and scalability while collaborating with cross-functional teams to deliver production-ready solutions.\nQualifications\nBachelor’s or Master’s Degree in Engineering or a quantitative field (Statistics, Economics, Mathematics, Data Science, or Business Analytics).\n2-4 years of relevant experience as a Data Scientist or Machine Learning Engineer.\n2+ years of hands-on programming skills using Python, PySpark, SQL, and ML frameworks.\nGood understanding of the end-to-end machine learning lifecycle, including data preparation, model development, validation, deployment, and monitoring.\nGood working knowledge of MLOps practices, Databricks, and Cloud Platforms AWS or Azure.\nExperience working with large datasets and developing scalable, efficient data science and machine learning solutions.\nExposure to automotive industry and digital marketing campaigns are preferred.\nAbility to work independently, navigate ambiguity, and deliver effective solutions\nAnalytical thinking and problem-solving abilities, with a data-driven approach to decision-making.\nPresent analytical findings, model outcomes, and technical insights clearly to stakeholders.\nExcellent written and verbal communication skills to share actionable business insights.\nHighly motivated, proactive, and collaborative teammate with good interpersonal skills and the ability to work effectively across cross-functional teams.\nAdditional Information\nEpsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.\nEpsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.\nOur pillars aren't just words. They're how we show up every day.\nPeople centricity: We focus on employee well-being in an environment where colleagues truly care about each other.\nCollaboration: We work together, support one another, and collectively achieve goals.\nGrowth: There are endless opportunities for growth through learning, development and career advancement.\nInnovation: We drive progress through cutting-edge solutions and forward-thinking approaches.\nFlexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.\nOur values guide us to create value for our clients, our people and consumers.\nAct with integrity\nWork together to win together\nInnovate with purpose\nRespect all voices\nEmpower with accountability\nThese pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.\nEpsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.","description_format":"text","description_chars":6758,"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","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-30T22:48:50Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":12,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/publicis-groupe-data-scientist-2","json_url":"https://alion.io/job/publicis-groupe-data-scientist-2.json","meta":{"generated_at":"2026-10-31T11:08:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17133,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":46462},"rest":"https://alion.io/mcp/rest/get_company?id=46462"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpublicis-groupe-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpublicis-groupe-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpublicis-groupe-data-scientist-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/publicis-groupe-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpublicis-groupe-data-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3551286}},{"tool":"search_jobs","arguments":{"company":"publicisgroupe.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3551286},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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