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Associate Director, Data Science and Analytics

Job in New York, New York County, New York, 10261, USA
Listing for: UNAVAILABLE
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110580 - 173995 USD Yearly USD 110580.00 173995.00 YEAR
Job Description & How to Apply Below
Location: New York

Job Description

We are looking for a results‑driven Associate Director, Data Science and Analytics to lead end‑to‑end analytics initiatives and build scalable models that drive business impact. This role requires a strong foundation in statistical modeling, hands‑on coding in Python and SQL, and the ability to translate data into strategic insights. You’ll partner closely with cross‑functional teams and mentor junior team members.

Responsibilities
  • Understands Razorfish data capabilities and how data fits into a client’s overall strategy
  • Understands the breadth of data services and crafts
  • Able to lead cross‑capability projects and build close relationships with other disciplines
  • Able to identify appropriate data SME to leverage when needed
Data Strategy
  • Able to systematically identify key issues and objectives to prioritize for internal and client needs and gain necessary buy‑in
  • Shows thought leadership in bringing new, innovative, or different methods of elevating a client’s (1) marketing goals or (2) data sophistication and maturity. For example, a Manager will be able to synthesize new learnings that may help augment or pivot a client’s current strategy.
  • Understands how frameworks and analyses drive overall client business strategy
Communication Skills
  • Effectively able to guide strategy and issue resolution using clear, thoughtful communication
  • Commands client audiences and turns presentations into a constructive dialogue
  • Considered a compelling, organized, and energetic presenter
  • Cultivates discussion on a broad base of topics and promotes junior team members to speak up appropriately
  • Frequently leads internal and client discussions, showing ability to pivot as needed
  • Able to structure and prepare well written, logical sections of different styles of deliverables without guidance
  • Uses clear, concise writing to communicate a compelling story
  • Able to synthesize complex analytical approaches / findings articulately and concisely
Client Engagement
  • Seen as a key client partner by junior clients
  • Helps clients see beyond current projects to longer‑term opportunities
  • Proactively keeps the client ‘in the loop’ on industry trends and recommends projects based on those trends
  • Displays professional, articulate, and mature presence in all aspects of client relationship building
  • Understands how to document and respond to client feedback and recognizes when to escalation issues or push back on a client
  • Able to gain client buy‑in to new projects
  • Understands and articulates client strategy
  • Sensitive to client needs and concerns and acts in the clients’ best interest
  • Teaches team to have sensitivity to client business issues
Tools & Techniques
  • Shows mastery of data tools and platforms and techniques
  • Ensures statistical concepts are built into appropriate projects, with appropriate code reviews where applicable
  • Understands when advanced analytic resources / methods are needed
  • Able to manage/execute vendor assessments
Analytics
  • Planning and Implementation
    • Proposes and develops strategic outlines to learning agendas / measurement plans
    • Oversees program implementation effectively, ensuring measurement goals are met and KPIs are effectively captured
  • Insight Generation
    • Able to see long‑term implications of insights and recommendations across several channels
  • Guidance
    • Guides junior team members to build foundational reports, understand data implications, and present results and actions
Qualifications
  • 7‑9 years of experience in data science, advanced analytics, or related roles
  • Advanced Python skills for data analysis, modeling, and ML (pandas, scikit‑learn, XGBoost, etc.)
  • Expert‑level SQL for complex data querying and transformation
  • Proven experience applying statistical modeling and machine learning techniques in production
  • Experience in working with cloud platforms, such as GCP, Azure, AWS, etc.
  • Experience with analytic tools, such as Adobe Analytics, Google Analytics, etc.
  • Strong communication and storytelling skills with data
Benefits
  • Paid Family Care for parents and caregivers for 12 weeks or more
  • Monetary assistance and support for Adoption, Surrogacy and Fertility
  • Monetary assistance and support for pet adoption
  • Employee Assistance Programs and…
Position Requirements
10+ Years work experience
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