Publicis Groupe
From Publicis Groupe's careers page
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Company description A division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients. Together, the Publicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people. Our model to transform every brand experience will help clients navigate, develop, and activate commerce in a way that will provide them with a future-proof model for modern marketing. With our unique expertise in consumer engagement, CRM, and commerce, Publicis Digital Experience powers brands and empowers people in a new era of creativity. An ever-changing landscape and the need for fluid thinking is just part of our problem-solving nature. Which means we're untethered from any specific medium or method—we go where ideas will work best. We are an expanding network with more than 5,000 employees, with agency brands throughout our global offices. Publicis Digital Experience brands include Razorfish, Digitas, Arc Worldwide, Saatchi Saatchi X, Plowshare, 3Share, Epsilon Auto and the Publicis Commerce Exchange. Overview The Automotive practice within Epsilon accelerates and drives growth for major players of the automotive industry, from Original Equipment Manufacturers (OEM) to Dealers big and small in the US and Canada. Part of a 1,600-member global team, the practice offers the world’s largest automotive service reminder platform along with agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of dealers in the US and manages 280M+ customer vehicle relations. The Automotive Data Science team within Epsilon partner with 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. The 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 stakeholders. Responsibilities Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights. Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, and attribution modeling to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytical capabilities, platforms, and pipelines. Present insights and recommendations to audiences of varying levels of technical sophistication Automate processes to ensure scalability of solutions by collaborating with cross-functional teams. Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic. Enhance data maturity and integration for Epsilon projects by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect experience working within a collaborative team. Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights. Qualifications Master’s or bachelor’s Degree in quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics). 2-4 years of experience as a Data Scientist deploying Data Science projects. 2+ years of coding skills in Python, PySpark, and SQL Deep understanding and hands-on experience with ML and DL Algorithms. Good understanding of LLM, Gen AI, Databricks and Cloud Systems (AWS or Azure). Experience of working with large data sets and developing scalable solutions. Knowledge of Automotive Business and Digital Marketing Campaigns are preferred. Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills. Additional information The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include: Monetary assistance and support for Adoption, Surrogacy and Fertility Monetary assistance and support for pet adoption Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance Tuition Assistance Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more Matching Gifts programs Flexible working arrangements Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility) Business Resource Groups that support multiple affinities and alliances The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents. We also offer medical and voluntary benefits to our freelancers and temporary employees. Voluntary benefit options include supplemental medical insurance, transportation, and parking benefits, legal benefits, pet insurance, and auto and home insurance. You must be actively employed for 90 consecutive calendar days in order to be eligible for Publicis medical and voluntary benefits. You must be work authorized in the United States on a full-time basis without the need for employer sponsorship now or in the future. The Company cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the future or cannot work now on a full-time basis. Publicis Digital Experience is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines. #LI-AB1 Compensation Range: USD $73,150.00 - USD $96,200.00/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. The Company anticipates the application deadline for this job posting will be 12/15/2026. Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights. Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, and attribution modeling to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytical capabilities, platforms, and pipelines. Present insights and recommendations to audiences of varying levels of technical sophistication Automate processes to ensure scalability of solutions by collaborating with cross-functional teams. Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic. Enhance data maturity and integration for Epsilon projects by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect experience working within a collaborative team. Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights. Master’s or bachelor’s Degree in quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics). 2-4 years of experience as a Data Scientist deploying Data Science projects. 2+ years of coding skills in Python, PySpark, and SQL Deep understanding and hands-on experience with ML and DL Algorithms. Good understanding of LLM, Gen AI, Databricks and Cloud Systems (AWS or Azure). Experience of working with large data sets and developing scalable solutions. Knowledge of Automotive Business and Digital Marketing Campaigns are preferred. Ability to work independently and deal with ambiguity. Strong analytical and problem-solving skills. Excellent presentation and communication skills. Strong written and verbal communication skills. Highly motivated and collaborative team player with strong interpersonal skills.
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