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Ref-IdT : RA208456                        
Title : Director, Data Science                        
Term : Contract To Hire                        
Duration : 6                        
Location : FL-Florida/Fort Myers                        
    

Skills & Job Description :


Contract to hire- must be onsite 3 days/week in Florida

Director, Data Science

Work Location: Headquarters – Fort Myers, FL - onsite 3 days a week

POSITION OBJECTIVE:

This position is responsible for running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches. This position also executes consistent statistical analysis and articulate results to management in a business format to support in decision making and analysis.

 

FUNCTIONAL RESPONSIBILITIES:

  • Selecting features, building and optimizing classifiers using Big Data techniques.
  • Conducts data mining using state-of-the-art methods to drive optimization and improvement of marketing techniques and business strategies.
  • Works with peers to enhance data collection procedures to include information that is relevant for building analytic systems.
  • Creates automated anomaly detection systems and constant tracking of its performance.
  • Develops custom data models and algorithms to apply to data sets.
  • Building closed-loop algorithms to power scaled personalization within the digital experience.
  • Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Works cross-functionally to gather insights which will improve marketing efforts.
  • Communicates results and ideas to key decision makers.
  • Assesses the effectiveness and accuracy of new data sources and data gathering techniques.
  • Keeps up-to-date with latest technology trends and how to best leverage machine learning, neural networks and other avenues to harness the power of the organizations vast data.

 

This position may be found in multiple departments. Some duties may vary from department to department.

COMPETENCIES:
Culture
Living the Chico's FAS Values and Guiding Principles by demonstrating Customer focus, instilling trust, driving engagement, and driving results.
Decision Quality
Making good and timely decisions that keep the organization moving forward.
Action Oriented
Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

 

 

 


Interpersonal Savvy
Relating openly and comfortably with diverse groups of people.
Situational Adaptability
Adapting approach and demeanor in real time to match the shifting demands of different situations.

QUALIFICATIONS:

  • Bachelor’s degree preferred, in Statistics, Economics, Analytics, Industrial-Organizational Psychology, Engineering, Mathematics, Computer Science, Information Technology or related field preferred; Master’s Degree a plus
  • 5-7 years of experience manipulating data sets and building statistical models
  • Familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience in a retail setting a plus
  • Strong Microsoft Office skills
  • Certificate in business analytics, data mining, or statistical analysis preferred

 

Preferred Qualification

If in Research/Personalization: 5+ years’ experience with consumer/customer quantitative research, consumer/customer qualitative research, or associate engagement research

 

If in CRM: 5+ years’ experience with marketing campaign segmentation, targeting design, execution tools, framework. Strategic mindset designing customer journeys and touch points.

 

If in CX/UX: 5+ years’ experience with digital experience analytics (Google, Omniture, etc.). Ability to read/interpret web analytics to provide actionable strategic insights

 

If in Modeling/Data Science: 5+ years’ experience in analytics or data science - with an emphasis in customer analytics and marketing analytics; forecasting; structural equations, marketing ROI and attribution, building predictive models and multivariate techniques, working in environments with disparate data sources

 

If in Testing: 2+ years hypothesis testing experience; 2+ experience with testing toolset such as APT