Levi Strauss Hiring - Data Scientist I


   About the company

Levi Strauss & Co. is one of the world's largest brand-name apparel companies and a global leader in denim. The company designs and markets jeans, casual wear and related accessories for men, women and children under the Levi's®, Dockers®, Levi Strauss Signature™ and Beyond Yoga® brands.


Job Profile: Data Scientist I

Qualifications: Bachelors in CS or related field

Experience: Freshers

Job Location: Bangalore, Karnataka


Job Description:

  • Develop analytical solutions / production-ready models that solve real business problems, taking account of business needs and technology/operations landscape
  • Apply advanced analytics, machine learning, and AI techniques to derive business value from the full range of internal and external data sets, leveraging Cloud-based “Big Data” technology
  • Translate complex data and methodology into strategic, operationally feasible insights and recommendations
  • Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in
  • Identify trends and opportunities to drive innovation, both in what we do and how we do it
  • Document all code and approach; actively 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 a wide variety of backgrounds

  • Qualifications:

  • Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline required
  • Experience in developing models and algorithms in a commercial environment with a track record of creating meaningful business impact
  • Strong 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
  • Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas
  • Experience with neural networks and deep learning, using frameworks such as TensorFlow, desirable
  • Proficiency with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar) desirable
  • Proficiency with Spark or MapReduce
  • Experience working in agile methodology
  • Prior experience in retail or FMCG

  • Apply before the link expires !!!


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