Principal Data Scientist

Multiple Locations
Required Experience: 0 year(s)
Employment Type: Full-Time
Salary Range: Not available
Posted 6 days ago
Job Description
JOB DESCRIPTION We believe that clothes — and how you make them — can make a difference. Since 1853, we’ve been obsessed with innovation to meet people’s needs. We invented the first blue jean. And we reinvented khaki pants. We pioneered labor and environmental guidelines for our manufacturing partners. And we work to build sustainability into everything we do. A company doesn’t last 160 years by standing still. It endures by reinventing itself, striving to delight its consumers, winning in the marketplace, and by remaining true to its values. We employ more than 17,000 people around the world – supporting great brands, including Levi’s®, Dockers® and Denizen®. Our employees are committed to innovation, creativity and collaboration. Put simply, if you’re looking for a new opportunity, this is a great place to grow your career. Job purpose Levi Strauss & Company is pursuing a global strategy to become a best-in-class eCommerce retailer. This is an exciting opportunity for a business-minded, data-savvy superstar: the successful candidate will play a key role in accelerating the effectiveness of Levi’s and Dockers Direct to Consumer businesses. In this role, you will have the opportunity to partner with marketing, site merchandising, product, and content teams to solve some of the company’s most challenging issues. You will also play an important leadership in helping to mentor team members, manage outside vendors and consultants and develop processes to scale the work of the team. You will have the opportunity to present recommendations to leadership and implement recommendations on the and websites and Retail stores across the globe. Duties and responsibilities • Lead and support various projects to power personalization, recommendation, and content discovery: • Work with marketing, product, and merchandising teams to define problem statements. • Create a project plan to efficiently solve business problems. • Communicate project status accurately and in a timely manner. Ensure that projects adhere to established standards and methodology practices. • Facilitate problem solving and escalations to maintain the schedule. • Identify internal and external data sources to help answer the question. • Gather, clean, and transform data to use in analysis. • Explore data to increase understanding of customer behaviors, attitudes, and preferences. • Build and maintain state-of-the-art statistical procedures, algorithms, and models in Python and/or R to solve a range of problems in diverse domains including marketing & personalization, and site merchandising. • Conduct experiments to test the effectiveness of models. • Design and deploy algorithmic solutions to better meet the needs of customers. • Use analytical models to reduce uncertainty and drive key decisions across the organization:• Understand the customer lifecycle; generate actionable insights and recommendations to ultimately increase revenue. • Be aware of micro and macro-economic trends and their impact on the business. • Create compelling presentations for both internal and external customers using (D3.js, R Shiny, Looker, Tableau or similar) • Clearly and concisely present strategic and tactical recommendations. • Work cross-functionally to increase data sophistication: • Establish trust and a collaborative working relationship with cross-functional teams across the organization. Be the go-to person when cross-functional teams have questions about user behavior. • Develop an in-depth knowledge of data sources relevant to each function. • Identify areas that could be optimized with increased access to data and work with teams to integrate models into their daily workflows. • Demonstrate team leadership:• Be a great team player that everyone enjoys working with and cross-functional team members look up to. • Lead by example and provide on-going mentorship and guidance to a team of data scientists and analysts. • Foster a culture of continuous improvement with a focus on providing solutions and delivering results. • Ensure the accuracy and relevance of the team's deliverables. Qualifications • Master's/Ph.D. Degree in Mathematics, Physics, Computer Science, Electrical Engineering, Statistical Computing or equivalent. • 5+ years of prior experience in a role with heavy emphasis on data analysis and metrics development required. • 5+ years of hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across diverse stakeholders. • 5+ years of SQL development skills writing complex queries. • 5+ years experience in Big Data tools such as MapReduce, PIG, and HIVE, with extensive experience working with Spark. • 5+ years of hands-on project management experience. • 5+ years of experience with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar). • 5+ years of experience deploying algorithms in a production environment using Java, Scala or Python. • 5+ years of experience with packages such as R or Python. • 3+ years of experience working with AWS. • Proven track record of leveraging data-driven models to drive impactful business decisions. • Experience using data access tools and building dashboards using large datasets and multiple data sources. • Analytical ability and communications skills. • Proven ability to effectively distill and communicate complex data to all organizational levels. • Highly organized and detail oriented, with a strong ability to coordinate and track multiple deliverables, tasks and dependencies. • Ability to manage multiple tasks or projects at one time. We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered. Here's a small snapshot: • 401K match: $1.25 for every $1.00 you contribute up to the first 6% of pay you save. • Five hours of paid volunteer time per month with nonprofit organizations • Product discount of 40% off regular-price merchandise Our policy is to provide equal opportunity to all persons without regard to race, color, creed, religion, national origin, citizenship, sex, age, sexual orientation, gender identity or gender expression, marital status, Vietnam era/disabled veteran status, physical or mental disability, or other protected classes prohibited by applicable law. Company policy prohibits harassment of applicants or employees on the basis of any protected classes. We have established a continuing Affirmative Action Program to assure equal employment opportunity in all its policy decisions affecting recruitment, selection, assignment, promotion, training, and all other terms and conditions of employment.­ LOCATION1155 Battery St. San Francisco, CA, 94111FULL TIME/PART TIMEFull time