Senior Data Scientist- Retail/CPG

You will work remotely for an innovative Minnesota-based tech company with an exceptional work culture, assigned to their US customers project.

WHO WE ARE

Welcome to Vixure. We’re an exclusive talent network of digital consultants, software developers, engineers and data professionals from Latin America, bringing the heat to North America’s leading tech-driven companies.

We’re unlocking the untapped potential of Mexico and Latin America’s tech talent, fuelling a wave of innovation and cross-border collaboration.

By 2030, we hope to connect 100,000 professionals from Latin America with North America’s finest tech-driven companies, sparking economic growth and rewriting the tech industry’s rules in the continent.

Join Vixure and help us turn borders into bridges and make magic happen!

WHO YOU ARE

  • You are humble. You share the credit and take pride in your team’s success. You accept responsibility for your mistakes and don’t blame others. You don’t think less of yourself, but you think in yourself less.
  • You are passionate. But passionate about technology and building great things, not only passionate about sports or music (although there is nothing wrong with that, we too love Netflix and video games).
  • You are empathetic. You are aware of what you say and do, and how that impacts your teammates and clients. Sorry, but nobody wants to work with jerks (at least not us, and for sure, you don’t want an emotionless manager as your boss), no matter how genius you are.

ABOUT THE POSITION

Summary of Key Requirements:

We are seeking a candidate with a strong analytical background who is more ‘Optimized’ focused, and specific expertise in the following areas:

  1. Experience in Optimization (space optimization, assortment optimization) 
  2. Model Development Experience: Proficiency in building models from scratch, including time series analysis, regression, and forecasting models.
  3. Knowledge in Price Elasticity of Demand: Understanding how changes in price affect the demand for products.
  4. Industry Experience: Direct experience in the Consumer Packaged Goods (CPG) or Retail industry, demonstrating an understanding of the sector’s unique challenges and opportunities.

These foundational requirements are critical for success in the role, along with the detailed responsibilities and skills outlined below.


Core Responsibilities:

  • Build predictive models and machine learning algorithms and evaluate different models.
  • Build analytical solutions in the form of AI/ML product prototypes solving customer problems.
  • Create a ML pipeline to train, evaluate and deploy models.
  • Collaborate with engineering and product development teams to productionize the developed AI model.

Requirements Skill/Experience:

  • Bachelor’s degree or higher in a relevant analytical field with at least 2 years of relevant domain experience in retail and CPG.
  • Versatile in Python, Cloud Engineering, SQL, ML algorithms. 
  • Knowledge in Optimization ( Space Optimization, Assortment Optimization).
  • Experience in time series, regression and forecasting models.
  • Strong Statistical background.
  • Comfortable with cloud-based platforms such as Azure Data Factory and Azure ML Pipeline.
  • Have used version control applications like Gitlab.

Skills:

  • Core Skills:
    • Proficiency in Python, Cloud Engineering, SQL, basic ML algorithms, and working with transactional and time series data.
    • Familiarity with simple UI designs.
    • Comprehensive understanding of large-scale software and system architecture.

Preferred Skills/Experience Nice to Have:

  • Python ML frameworks: Pytorch, Jupyter Notebooks, Pandas, scikit-learn, Numpy.
  • Have used PySpark or Azure Databricks Notebooks.
  • Understand CI/CD concept.

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