Media Data Scientist

Lensa; New York (NY); On-site; USD 72,000 - 110,000; Full time

Job summary

A leading company in media analytics seeks a Data Scientist to join their team in New York. The role involves designing statistical models, analyzing data, and providing actionable insights to enhance client marketing strategies. The ideal candidate will have a strong background in STEM, experience with SQL and R, and a passion for data-driven decision making.

Benefits

Medical coverage

Dental and vision benefits

401K

Parental leave

Flexible time off

Qualifications

• 1+ years work experience in quantitative analysis.
• Strong knowledge of Relational Databases and SQL.
• Familiarity with statistical learning algorithms.

Responsibilities

• Design and maintain statistical models to drive insights.
• Produce accurate data analysis and ensure data quality.
• Present analytical results to business disciplines.

Skills

Communication

Data Analysis

Statistical Modeling

Machine Learning

SQL

Customer Service

Education

Bachelor’s degree in STEM or related field

Tools

R

Job description

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Company Description

Zenith is a full-service media agency with capabilities and expertise across all channels and disciplines. Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally. As “The ROI Agency,” Zenith’s expertise lies in driving real, tangible business outcomes, not just media metrics, that will have a measurable effect on our clients’ business. Every investment we make has an ROI mindset—not just for our clients, but for our agency at large. We’re focused on driving the maximum value for our people, our capabilities and our media investments for some of the world’s leading brands.

Overview

What does Zenith Data Sciences do?

Working closely with both the Business Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients’ marketing to real-world business goals. We use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings our clients closer to their marketing, helping them understand if they are talking to the right people in the right way.

Responsibilities

What does a successful Data Scientist look like?

We don’t all look the same, and we don’t expect you to, either. But a successful Data Scientist should share our passion for emerging tech and media, bring an evidence-based approach to decision-making, determine a point of view and share it in a positive way, gear up for a challenge, and always crave to learn more and improve.

What does a Data Scientist do day-to-day?

Data Scientists form the foundation of the Data Sciences team, structuring and nalyzing data, implementing and interpreting models that feed business-improving insights, and putting it all together into presentations that bring the story to life for our clients. Data Scientists work closely with the Data Science Manager to help execute the broader vision for their account, and to continually evolve our Data Science solutions.

Day-to-day Responsibilities Include

• Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
• Produce accurate statistical analysis and ensure high quality of the data analysis produced.
• Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
• Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.
  
  

Qualifications

• 1+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
• Bachelor’s degree in a STEM or other related field, or equivalent work experience.
• Strong knowledge of Relational Databases and SQL programming.
• Highly proficient in R for modelling and Machine Learning.
• Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems.
• Familiarity with the mathematics behind important statistical learning algorithms such as Linear Regression, Logistic Regression, Hierarchical Models, Decision Trees/Random Forest, Bayesian Inference.
• Familiarity with common advanced marketing analytics solutions such as Marketing Mix Modeling (MMM).
• Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.
• World-class customer service skills. Ability to service clients, partners and internal stakeholders by understanding their needs, translating those needs into creative solutions, and delivering on those solutions with diligence and a sense of urgency.
  
  

Preferred Experience

• Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social.
• Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
• Knowledge of other Machine Learning techniques such as Natural Language Processing (NLP) and text mining, and Neural Networks is a plus.
  
  

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 [e-mail]. All your information will be kept confidential according to EEO guidelines.

Compensation Range: $72,390 - $109,480 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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility 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 6/4/2025

Veterans Encouraged to Apply

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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