Junior Data Scientist

Key Skills

Apache Hadoop, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, Scala Programming, SQL, TensorFlow

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 Assistant Data Scientist on our A&F Corporate Analytics team will focus on statistical modeling, customer segmentation, geo analytics and modeling, advanced customer and product lifecycle analyses, E-commerce, and measurement process support. Primary objectives are to monetize our customer data platform for personalized messaging, conduct in-depth 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 closely partners with our Marketing/Real Estate/Product Management/Operations teams to help support their advanced analytics/reporting and segmentation needs. The Assistant Data Scientist brings 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 logistic regression, generalized linear models, decision trees, random forest, cluster analysis, survival analysis, etc.
• Identify low hanging opportunities to increase conversion, save costs, drive revenue.
• Incorporate new data sources (social, clickstream, unstructured) & new types of data into segmentation/modeling/analysis.

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.
• Ensure data accuracy and single source of truth; work with Data Engineers to identify or build new solutions.

What will you need to bring?

• Bachelor's Degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, or related field 
• 0-1 year 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.)
  • Advanced Reporting; OR
• Proficiency with SQL, SAS, Python or R.
• Familiarity with Geo analytics tools 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.