Data Scientist II

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

At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim is made.

We are taking one of the world's most iconic brands into the next century:

from creating machine learning-powered denim finishes to using block-chain for our factory workers' wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain.

Be a pioneer in the fashion industry by joining our global Data, Analytics & AI startup with assets, where you will have the chance to build exciting solutions to impact our Global business and at the same time be part of a bigger, across-continents, data community.

Be a pioneer in the fashion industry by joining our global merchandise planning data science team, where you will have the chance to build exciting solutions to improve our business and at the same time be part of a bigger, across-continents, data science community. As a Data Scientist II, you will help develop models that address specific needs while bringing research into production. You will report in the Global Head of AI for Demand & Supply.

About you

• Partner with teams across the global organization and own multiple roadmap work streams to allow us to use advanced ML and DL techniques to solve complex retail problems.
• Brainstorm problem statements with the team to put the best solution statements forward to our partners.
• Conduct advanced statistical analysis to provide applicable insights, identify trends, and measure performance
• Build complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
• Mentor junior team members in building the best of the class solutions on their roadmap items.
• Scan the Data Science landscape for recent developments and opportunities to integrate new methodologies into the existing project portfolio.
• Research best practices, conducting experiments, and working with industry leaders.
• Ensure that the risks associated with projects are raised to ensure all projects stay on track.

About the job

• Overall 3+ years (with Bachelor's or Masters) or 1+ year (for PhDs) of professional experience in Data Science, Machine Learning, Mathematics, Applied Statistics, or Operational Research in the tech or retail industry.
• Hands-on experience analyzing data and developing supervised and unsupervised models; including variable selection, feature engineering, model generation, model diagnostics, interpretability, and deployment.
• Experience writing complex SQL queries and working with large datasets in cloud/Hadoop-based environments. Experience writing Hive and Spark jobs.
• Experience with data visualization tools (D3 Js, R Shiny, Looker, Tableau, or similar); able to determine the appropriate visualization for a variety of data types and create compelling stories with data.
• Experience deploying Machine Learning algorithms in a production environment.
• Experience developing Deep Learning based solutions for the production environment.
• Experience working with different cloud services to develop ML solutions: AWS or GCP.
• Expert-level Python, R, or similar programming skills.
• Experience in Reinforcement Machine Learning is a huge plus.
• Experience with distributed systems (Docker, Kubernetes, Kafka, or Spark
• Desired Education: Master's/Ph.D. degree (computer science, applied mathematics, applied statistics, data science, or related technical discipline).

Desired Education

• Master's/Ph.D. degree (computer science, applied mathematics, applied statistics, data science, or related technical discipline).
• Overall 3+ years (with bachelor's or Masters) or 1+ years (for PhDs) of professional experience in Data Science, Machine Learning, Mathematics, Applied Statistics, or Operational Research in the tech or retail industry.

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.

• 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 50% off regular-price merchandise

EOE M/F/Disability/Vets

LOCATION

San Francisco, CA, USA

FULL TIME/PART TIME

Full time