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.
-
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 escalate 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
-
Guides junior team members to build foundational reports, understand data implications, and presentations highlight relevant results and proposed actions
-
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
