Sr. Data Scientist - Store and Omnichannel

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

You're an original. So are we. 

We're a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world. 

As a Sr. Data Scientist on Global Omnichannel & Strategy team you will build experimentation and inferential frameworks and drive products through experimental design, implementation, analysis to drive strategic business decisions and find new ways of elevating customer experience across channels. Our internal teams develop greater agility, operate more efficiently and serve our consumers better through your work.

You will apply classical ML algorithms, cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as customer demand estimation, behavior mining, capacity planning, predictive store maintenance, pricing optimization, pose estimation, among others. The impact of these initiatives will be measured based on profitability while driving omnichannel productivity. You will report into the Data Science Manager.

In this role, you will: 

• Ability to work independently and proven track record in applied microeconomics and causal inference. 
• Demonstrated ability to communicate complex scientific solutions to a non-technical audience. 
• Proficient in understanding and implementing cutting-edge research into proof of concepts. 
• Partner with stakeholders to understand business needs, build alignment, influence technical roadmaps, and own roadmap workstreams. 
• Mentor and grow junior members of the team in building the best of the class solutions. 
• Actively contribute to raising the bar of the team ML standards and best practices. 
• Maintain a strong understanding of the business, its emerging opportunities, and how to measure impact.
• Proactively identify trends and opportunities to drive innovation, both in what we do and how we do it. 
• Embody Levi Strauss & Co. values, namely, empathy, originality, integrity, and courage. 

Ideally, you will have: 

• An advanced degree in Computer Science, Engineering, Economics, or a related quantitative field (Ph.D. is a plus) 
• 7+ years of professional experience developing and deploying machine learning models and algorithms of progressing complexity and demonstrated business impact 
• Wide and deep knowledge of the entire model development pipeline from ideation to deployment, testing & monitoring and different ML architectures (e.g., supervised, unsupervised, reinforcement learning, etc.) 
• 3+ years experience with Python & SQL programming and model development experience. 
• 1+ year experience working with business stakeholders to identify opportunities and inform prioritization. 
• 1+ years of experience working in retail. 
• Proficient in multiple ML frameworks and core technologies (e.g., TensorFlow, PyTorch, etc.) 
• Proficient with AWS, GCP or equivalent on-premise platforms. 

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 60% off regular-price merchandise

Currently, LS&CO requires proof of being fully vaccinated for COVID-19 as a condition of commencing employment, except in those jurisdictions where prohibited by law. Medical or religious accommodations, or other exemptions that may be required by applicable law, will be approved when properly supported. Further information is provided during the recruitment process.

EOE M/F/Disability/Vets

LOCATION

San Francisco, CA, USA / Remote - USA

FULL TIME/PART TIME

Full time