Sr. Data Scientist - Customer Analytics

About the Role

Key Responsibilities

• Synthesize and story tell data to deliver actionable insights across functions. Present compelling data stories (verbal and slide format) to varying levels of stakeholders, including executive leadership.
• Build cross functional partnerships and consensus, and influence strategy of domain areas.
• Manipulate large amounts of data across a diverse set of subject areas (digital, customer, inventory, marketing, etc.) and develop statistical models and analysis to uncover actionable insights and trends.
• Collaborate with other data scientists and data engineers to prepare and automate data pipelines from multiple disparate sources for analysis and modeling.
• Develop compelling visualizations that support actionable insights and produce decks and presentations that are executive-ready.
• Build repeatable solutions that can identify trends and insights on a regular cadence.
• Mentor more junior team members and grow the technical and data storytelling skillsets of the team.

Requirements

• Have strong business acumen and understanding of retail business drivers.
• Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change.
• Strong verbal and written communication skills, and able to present to senior executives.
• Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building.
• Experience using Adobe Analytics suite to uncover digital experience trends and insights.
• Advanced proficiency using SQL for efficient manipulation of large datasets in on-prem and cloud-distributed computing environments, such as Azure environments.
• Proficiency in Python, Spark, and common scripting languages for E2E pipeline.
• Experience using causal inference methods to measure incrementality and estimate causal effects.
• Experience with supervised and unsupervised learning ML techniques, visualization packages, and a track record for creating business impact with these methods.
• Ability to work in ambiguous and complex situations and analyze data to make judgments and recommend solutions.
• A track record of being a self-starter who can execute and drive roadmaps.

Nice to Have

• Experience with digital analytics tools and methodologies.
• Experience working in retail or consumer-focused industries.
• Knowledge of cloud computing environments beyond Azure.

Qualifications

• Experience with data analysis, statistical modeling, and building data pipelines.
• Proficiency in SQL, Python, Spark, and visualization tools.
• Experience with causal inference and machine learning techniques.

Benefits & Perks

• Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
• One of the most competitive Paid Time Off plans in the industry.
• Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.
• Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.
• Employee stock purchase plan.
• Medical, dental, vision and life insurance.