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Data Science Manager

Abercrombie & Fitch

Abercrombie & Fitch

Data Science Manager

Columbus, OH
Full Time
Paid
  • Responsibilities

    Our Company

    Abercrombie & Fitch Co. is a portfolio of lifestyle brands including Abercrombie & Fitch, abercrombie kids, Hollister, and Gilly Hicks. Reaching customers across 120+ countries, we strive to create customer-centric, omni-channel experiences for our global customer base.

    Our Values

    How do we do it? Every day, our associates show up and empower one another to stay curious and think big. As a team of relentless innovators, we aren’t afraid to dream boldly. We are accountable and aim to the highest caliber to understand, push boundaries and embrace change. We coach, mentor, care, and bring our best selves every day because we are in this together. Whether you lead yourself, a team, or the company, everyone is a leader at A&F.

    Job Description

    Our Global Data & Analytics team is the hub of harvesting and analyzing data to drive strategic, customer-centric business decisions for our brands. By collaborating with partners across a broad variety of business functions, associates on our D&A team provide recommendations that allow our teams to push boundaries and stay at the forefront of retail trends.

    The Lead Data Scientist on our A&F Data Science team within Data & Analytics will develop solutions for complex, ambiguous, and high-visibility business challenges, focusing on building machine learning models, customer segmentation, geo analytics & modeling, advanced customer and product lifecycle analyses. Primary objectives are to monetize our customer data platform for personalized messaging, conduct advanced customer analyses, help understand our omni-channel sales potential by market, develop modeling/segmentation approach for various work streams, incorporate new data types & sources into existing data structures, and develop actionable data products that drive the company’s bottom line. This role would closely partner with our Marketing/Real Estate/Product/Operations teams to help support their modeling, advanced analytics, and segmentation needs. Bring passion for learning and data-informed decision making that shapes holistic view of our business with consideration for all aspects of the customer experience - from front-end web & store experience through order fulfillment and customer service.

    What will you be doing?

    Modeling & Segmentation

    • Build innovative machine learning models and segmentations for personalization initiatives to drive margin, revenue and conversion.
    • Develop Geo optimization models that drive market opportunity assessment and real estate location selection; decompose omni-channel impact in the marketplace as result of store open/closures.
    • Build out robust advanced segmentation schemes for our customer and email files.
    • Develop various predictive models (response, propensity, life-time value, affinity, churn etc.).
    • Understand and be able to apply advanced modeling techniques such as reinforcement learning, XGBoost, regression, generalized linear models, decision trees, random forest, cluster analysis, survival analysis, etc.
    • Supervise junior data scientists and lead code reviews for projects built in Python and R

    Analytics Ecosystem

    • Serve as quantitative SME for broader A&F team.
    • Help identify cross-channel / cross-platform optimization opportunities for customer, product, market, promotions and price.
    • Be an evangelist of data-informed decision-making and consistently look out for new ways to leverage data and analytics.
    • Identify "low hanging" opportunities to increase conversion, save costs, drive revenue.
    • Ensure data accuracy and single source of truth; work with data engineers to identify or build new solutions.
    • Incorporate new data sources (social, clickstream, unstructured) & new types of data into segmentation/modeling/analysis.
  • Qualifications

    What will you need to bring?

    • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field and 4+ years of Data/Customer Analytics experience (retail environment is a plus), including:
      • Customer-level Predictive Models/Segmentation
      • Geo/Location Analytics
      • Advanced Analyses (LTV, basket analysis, contact stream optimization, elasticity etc.)
    • Master’s Degree Preferred
    • Proficiency with SQL, Python or R.
    • Familiarity with Geo analytics tools (ArcGIS) and big data platforms is a plus.
    • Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed.
    • Must perform well in high-pressure situations, balance competing priorities, and demonstrate the ability to work without direct supervision.
  • Industry
    Retail
  • About Us

    Abercrombie & Fitch Co. is a portfolio of global lifestyle brands (Abercrombie & Fitch Co., abercrombie kids, Hollister, and Gilly Hicks) that share a commitment to offering products of enduring quality and exceptional comfort – allowing consumers around the world to express their own individuality and style. The company operates approximately 850 stores under these brands across North America, Europe, Asia and the Middle East, as well as the e-commerce sites www.abercrombie.com and www.hollisterco.com.