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Manager, Data Science and Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: Publicis Groupe
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below
Location: New York

Company description

Hi there! We’re Razorfish. We’ve been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What’s different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common.

We believe our differences are our strength. We push for inclusion, challenge convention and bring new perspectives to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives.

Overview

Razorfish is looking for a Manager to join its Data Science and Analytics practice.

This is an analytics, research, and consulting team that delivers data‐driven insights to our clients.

Each member of the team is aligned to one or more clients and works closely with other Data team members, our clients, and colleagues across other subject areas such as Client Management, Strategy, Search, Social, Media, User Experience, and Technology.

In this role you will contribute to data‐driven projects across one client account. You will have support from data leadership and fellow analysts.

Core areas of focus for this group include applications in measurement planning and strategy, customer segmentations, testing frameworks, measurement and optimization solutions, performance reporting and analyses, personalization, and forecasting.

Responsibilities
  • Manage the end-to-end process for data internal and external client project work
  • Understand Razorfish data capabilities and how data fits into a client's overall strategy
  • Demonstrate marketing business insight and how our data services fit into client strategies and objectives
  • Lead cross-capability projects and build close relationships with other disciplines
  • Lead client readouts, define requirements and implement data tools and products
  • Have developed domain level experience in one or more core areas of data, including business intelligence, data visualization, forecasting, testing, or modeling to contribute to client discussions and deliverables
Qualifications Data Strategy
  • Independently identify key issues and objectives to focus on for internal and client needs with minimal oversight
  • Apply comprehensive critical thinking to elevate either a client's marketing goals or their data sophistication and maturity forward, showing initiative in understanding strategic frameworks and applying them to client‑specific needs
Communication Skills
  • Thoughtful contributor to internal and client discussions, synthesizing input and feedback
  • Prepare internal and client presentations and necessary outlines independently
  • Own work and deliver materials with confidence, comfortable supplying appropriate responses to vague or unrelated questions
  • Show confidence in meetings offering ideas and suggestions, reflecting mastery of tasks and work
  • Occasionally lead team discussions and present alternative solutions
  • Create client documents from scratch with little reliance on templates and minimal oversight
  • Use standard methodologies in formatting within presentation tools (PPT, Google Slides, etc.)
  • Transform data into visually appealing presentations with emphasis on storytelling, adapting formats and charts as necessary
Client Engagement
  • Serve as the day‑to‑day internal data resource while becoming the client go‑to resource
  • Lead the client through multiple programs or projects from start to finish
  • Display professional, articulate, and mature presence in all aspects of client relationship building
  • Document and respond to client feedback and recognize when to raise issues
  • Show deep knowledge of client's business – financials, industry economics, competitive dynamics, marketing channels, and strategic issues
Tools & Techniques
  • Master multiple data tools and platforms and techniques
  • Master statistical concepts and one coding language
  • Understand machine learning applications and utility
  • Assist in all aspects of vendor assessments
  • Proactively identify own learning gaps and seek to answer them through internal resources or asking experts
  • Experience working within…
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