Company Description

Publicis Media Exchange (PMX) is the global media platform for Publicis Groupe [Euronext Paris FR0000130577, CAC 40]. PMX is an omnichannel activation powerhouse that drives smart application of investment through leveraging scale, marketplace innovation, deeper partnerships and knowledge. PMX is at the forefront of the converging marketplace building data-informed, tech-enabled media to help marketers connect with consumers in a measurable way. 

Job Description

NXT is looking for a talented data scientist for an exciting opportunity on the DSF team at Publicis Media in New York City. You would be involved with helping design and scale a new workflow for Shelf Intelligent Media using retail data and analytics. Candidates will be considered based on their ability to design large distributed technical solutions, contribute to research endeavors resulting in real world projects and data pipelines that support data products.

This is a hybrid role, requiring three days in-office each week. If you are contacted for an interview, your recruiter will discuss specifics with you, inclusive of any necessary reasonable accommodations.

Your Impact:

• Design and contribute to data science pipeline using python and Snowflake
• Write Python/Pyspark applications for data processing and modeling
• Implement statistical and financial modeling techniques
• Research and Develop custom solutions related to digital shelf data
• Manage and administer analytics workflow and reporting
• Investigate, procure, and incorporate new technologies to enhance capabilities
• Run client team interviews/de-briefs, collect disparate information to inform proposals and SOWs
• Collaborate Cross-Functionally: effectively manage cross-functional initiatives and relationships across agencies, partners, delivery teams, regions, and clients

Qualifications

• Bachelor's Degree in Mathematics, Computer Science/Engineering, Statistics, or related field
• 2-3 years’ data engineering or data science experience (preferably in Python, and/or PySpark/Scala)
• Must have a strong programming background
• Must be able to demonstrate understanding of Web Services and Cloud Computing
• Knowledge of Big Data Systems (BigQuery, Snowflake, AWS Athena / S3)
• Proficient in designing efficient and robust analytics/reporting workflows
• Excellent oral and written communication skills
• Ability to work in teams and collaborate with others to clarify requirements
• Must enjoy being challenged and solve complex problems on a daily basis
• Experience in financial or econometric modeling (extra credit)

Additional Information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. 

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.  Our benefits package includes medical coverage, dental, vision, disability, 401K,  as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact hrcompliance_usms@publicis.com.

All your information will be kept confidential according to EEO guidelines. 

Compensation Range: $70,000 - $105,000.  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. For this role, 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 03/29/2024.

REQ # 23-10289

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