Data Scientist

Contenu de l'offre Data Scientist chez Levi Strauss & Co.

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.

Where we lead, others follow. For more than 160 years, we’ve used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi’s®, Dockers®, Denizen® and Signature by Levi Strauss & Co.™

We are looking for a Data Scientist based in Paris, France and who will report into the Data, Analytics, & AI Lead for Levi Strauss Europe. In this role you will be an essential part of the Data, Analytics and AI team and will create advanced analytics, machine learning, and AI solutions to better address our consumers’ needs while streamlining our processes and approaching the business in more creative ways. In this role, you will translate the needs of our cross-functional stakeholders into predictive models and applicable insights that will improve revenue and/or reduce cost, with emphasis on automation and business process improvement. You will contribute to the global Data, Analytics & AI community, share your knowledge and use other colleagues’ experience.

Responsibilities:

Develop analytical solutions / production-ready models that solve business problems, taking account of business needs and technology/operations landscape Apply advanced analytics, machine learning, and AI techniques to find value from the full range of all data sets, applying Cloud-based “Big Data” technology Translate complex data and methodology into strategic , operationally practical recommendations Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement , and support Identify trends and opportunities to inspire creativity, both in what we do and how we do it Document all code and approach; contribute to and re-use community best practices Be a great team player who embodies the values and passions that characterize Levi Strauss; have empathy to engage with colleagues from different backgrounds

Requirements:

Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline Experience developing models and algorithms in a commercial environment with experience creating meaningful impact SQL and Python skills required; proficiency in at least one open-source programming language (R, Java, C++ or another) desirable Expertise in multivariate statistical modelling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc. ) required Experience with cloud computing platforms (AWS, GCP or other), or equivalent on-premise platform Simultaneously coordinate and track multiple deliverables, tasks and requirements across multiple stakeholders / business areas

As a plus :

Experience with neural networks and deep learning, using frameworks such as TensorFlow Proficiency with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar) Proficiency with Spark or MapReduce Experience working in agile methodology Experience in retail or FMCG

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 50% off regular-price merchandise

NOTE: Please submit English version of CV. Thank you!

LOCATION

Paris, France

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.