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Data Scientist II
hace 19 horas
Job Location: Barcelona, Spain
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 that will impact our global business across continents.
As a Data Scientist 2 you will be a key part of the global 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 innovative ways. This role will focus on applications of Data, Analytics, and AI to Consumer & Loyalty. Potential areas of application of AI include CLTV, CRM optimization, Segmentation.
In this role, you will work across regions to drive innovation, machine learning operationalization, adoption of data products, and data visualization / user interfaces/ storytelling that put data at the center of our business. This role will aim to drive revenue and reduce cost through cross-region implementation, automation and business process improvement.
You will contribute to the global Data, Analytics & AI community, share your knowledge and leverage other colleagues' experience in designing scalable, global solutions.
About the Job
- 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 You
- 3+ years of hands-on experience analyzing data and developing supervised and unsupervised models; including variable selection, feature engineering, model generation, model diagnostics, interpretability, and deployment.
- 3 + years of experience writing complex SQL queries and working with large datasets in cloud/Hadoop-based environments. Experience writing Bigquery and DBT jobs.
- 3+ years of 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.
- 3+ years of experience deploying Machine Learning algorithms in a production environment.
- 3+ years of experience developing Deep Learning based solutions for the production environment.
- Experience working with different cloud services to develop ML solutions with especial focus on Google Cloud Platform.
- 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 and Experience
- 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 2+ years (for PhDs) of professional experience in Data Science, Machine Learning, Mathematics, Applied Statistics, or Operational Research in the tech or retail industry.
LOCATION
Barcelona, Spain
FULL TIME/PART TIME
Full time
Current LS&Co Employees, apply via your Workday account.
