BUSINESS INTELLIGENCE DATA SCIENTIST

Guess Europe Sagl Bioggio Switzerland ICT and Information Systems
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Company Description

In 1981, GUESS sold its very first pair of jeans to Bloomingdale's department store. Since then, GUESS has grown, becoming one of today's most recognized and influential apparel brands in the world.

The continued dedication and commitment of our employees is the driving force of GUESS. Our talented professionals focus on leading the company with their vision of success. Join the team at GUESS Europe and bring your vision to life.

GUESS Europe is seeking eager, passionate individuals to uphold our commitment to the spirit of the GUESS family of brands including GUESS, Marciano, GUESS Factory.

Position

PURPOSE OF THE JOB

Reporting directly to the Business Intelligence Manager, Guess sees the application of data and Artificial Intelligence as a core source of competitive advantage in the drive to deliver market leading personalized customer experiences which maximize the value captured from our extensive product range whilst operating at maximum efficiency. Our Data Scientist will be in contact with each Company department to identify needs/opportunities, using data to ask and answer questions that are important to them and leverage ML/AI to test the effectiveness of different courses of action in order to gain insights and suggest data driven recommendations.


CORE JOB RESPONSIBILITIES

  • Translate unstructured business problems into an abstract mathematical framework
  • Work with large, complex data set to solve and investigate data analysis problems through the use of statistics and predictive analytics techniques. Apply advanced analytical methods as needed in order to identify, analyze, and interpret trends and patterns
  • Research, design, develop and prototype ML/DL algorithms to discover insights in order to improve Business and power-up data driven solutions
  • Be autonomous in end-to-end analysis (e.g. data gathering and requirements specification, processing, analysis, communication of findings)
  • Make business recommendations through effective presentations, data visualizations and communication of findings that are intuitive, insightful and actionable for decision makers at senior levels throughout our organization

Requirements

TECH REQUIREMENTS

  • Expertise in the following areas: Applied Data Science and Large-Scale / ‘Big Data’ Computation, Statistical and Machine / Deep Learning
  • Preferred PhD in the field of quantitative / computational science (e.g. Informatics, Machine Learning, Statistics, Physics, Mathematics, etc)
  • Demonstrated ML/DL experience on large datasets (regression analysis, time series forecasting, probabilistic modeling, supervised and unsupervised classification). Preferred knowledge of/experience with time series analysis methods and computer vision techniques
  • Strong machine learning programming, data mining and statistics background (development tools, frameworks and libraries).
  • Proficiency with one or more programming/scripting languages (e.g. Python, R, Scala,..). Ability to write production level code (well-written and explainable)
  • Demonstrated skills in selecting the proper statistical/ML/AI tools given a problem
  • Knowledge of big data technologies (e.g. Spark) and/or big compute architectures (HPC)
  • Experience with database languages (e.g., SQL, NoSQL)
  • Experience with cloud platforms/services for scalable data analytics and ML/AI
  • Ability to plan and design the Data Science lifecycle process thus allowing for model tracking, reproducibility, validation deployment and retraining
  • 3-5 years of experience in the Business Intelligence and Data warehouse field will be a plus
  • Excellent presentation and report writing skills

SOFT REQUIREMENTS

  • Strong delivery focus and organizational/project management skills to coordinate and deliver plans to agreed timescales
  • Strong analytical rigor and hacker mind set to face the multiple data challenges within our organization. Ability to translate analytical results into business recommendations
  • Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
  • Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our organization. Effective written and verbal communication skills to share complex technical concepts to broad audiences in simplified format
  • Demonstrated self-direction and willingness to both teach others and learn new approaches/technologies
  • Knowledge or experience in the fashion industry is a plus
  • Fluent in English