Jobs

This senior-level position applies a broad range of advanced quantitative algorithms and methodologies to assist Click Tactics clients in maximizing the performance of their multi-channel marketing programs. Successful candidate combines deep knowledge of statistical theory with business acumen and has the ability to creatively apply analytical techniques to solve real-world marketing problems.

Specifically, the candidate will drive solutions for optimizing highly variable, rich content direct marketing campaigns, where traditional predictive analytics and measurement techniques are difficult or impossible to apply. The candidate must be a creative thinker capable of breaking new ground in marketing science.

Duties and Responsibilities:

• Evaluate and select algorithms, methodologies and industry practices for applicability to the problem of optimizing multi-channel, highly variable direct marketing programs
• As a subject matter expert and evangelist, provide support and advice in the areas of marketing analytics and optimization to internal stakeholders, including Marketing, Sales and Client Services
• Provide consulting services to Click Tactics clients, assisting them in measuring and maximizing the ROI on their direct marketing investments
• Leverage the capabilities of Click Tactics marketing execution platform in implementing the outcome of optimization analysis
• Apply experience gained in client engagements to create and maintain a library of best practices and project templates for marketing measurement and optimization
• Provide support for pre-sales and go-to-market activities aimed at establishing Click Tactics as the leading provider of direct marketing optimization solutions
• Drive requirements for building advanced marketing measurement and optimization capabilities into the Click Tactics marketing execution platform
• Support the Engineering team throughout the software development lifecycle in implementing marketing measurement and optimization functionality

• Advanced degree ((M.S. or Ph.D.) in statistics or related discipline
• Demonstrable real-world experience with at least one of the following techniques and algorithms:
  • Experimental Design
  • Fractional Factorial Design
  • Taguchi Method
  • Choice Modeling
  • Conjoint Analysis
  • Constraint-Based Optimization
• Experience applying the above mentioned techniques in solving marketing business problems is strongly preferred
• Some familiarity with software development and modern programming languages, such as Java and/or C#
• Ability to work independently with minimal supervision
• Strong communication skills, and specifically, ability to explain complex statistical concepts to non-technical audiences