Data Scientist - Remote - Virtual

With approximately 1,300 boutiques and outlets throughout the U.S., as well as an online presence for each of our brands, it takes sophisticated technology, resources and infrastructure to ensure the continued success of our businesses. From finance and accounting to technology and merchandising careers, we have diverse opportunities available for talented professionals to join our team of nearly 16,000 associates who share our commitment to excellence.

POSITION OBJECTIVE:

This position is responsible for planning and managing projects across all analytics areas - descriptive, predictive, prescriptive, and cognitive - as needed by the various business functions. It requires the application of consistent and rigorous statistical analysis, and the effective articulation of results to management and business analysts to support scientific decision-making.

FUNCTIONAL RESPONSIBILITIES:

• Selecting features, building and optimizing classifiers using Big Data techniques.
• Conduct data mining using state-of-the-art methods to drive optimization and improvement of marketing techniques and business strategies.
• Work with peers to enhance data collection procedures to include information that is relevant for building analytic systems.
• Create automated anomaly detection systems and constant tracking of performance.
• Develop custom data models and algorithms to apply to data sets.
• Build closed-loop algorithms to power scaled personalization within the digital experience.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Work cross-functionally to gather insights which will improve marketing efforts.
• Communicate results and ideas to key decision makers.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Keep 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, 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
• Proficiency in R, Python, or both
• Familiarity with SQL
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Decision Trees, text mining, social network analysis, etc.
• Experience in the retail industry a plus
• Strong Microsoft Office skills
• Certificate in business analytics, data mining, or statistical analysis preferred

Preferred Qualification

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

Chico's FAS, Inc. is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, childbirth and related medical conditions, lactation, genetic information, gender, sexual orientation, gender identity or expression, military service, veteran status, or any other category protected under federal, state, or local law.

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