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.


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!


  • 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.


Summary of Key Requirements:

We are seeking a candidate with a strong analytical background and specific expertise in the following areas:

  1. Knowledge in Price Elasticity of Demand: Understanding how changes in price affect the demand for products.
  2. Model Development Experience: Proficiency in building models from scratch, including time series analysis, regression, and forecasting models.
  3. 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.


  • Data Processing and Analysis:
    • Process and analyze both structured and unstructured data to identify trends and patterns through data exploration.
    • Develop predictive models and machine learning algorithms; conduct evaluations to select optimal models.
  • Solution Development:
    • Design and prototype AI/ML product solutions to address customer issues.
  • Visualization and Presentation:
    • Utilize data visualization techniques to present insights effectively.
  • Collaboration:
    • Work closely with engineering and product development teams to bring AI models into production environments.


  • Educational Background:
    • Bachelor’s degree or higher in a relevant analytical field.
    • A minimum of 2 years of domain experience in retail and Consumer Packaged Goods (CPG).
  • Technical Proficiency:
    • Proficient in data science programming with Python (including pandas, writing classes, and model productionization) and SQL.
    • Experienced in Statistical Modeling, Machine Learning, prototyping, QA/testing, Data Interpretation, and Visualization.
    • Capable of effectively presenting data and storytelling with data.
  • Soft Skills:
    • Strong presentation skills.
    • Ability to communicate complex technical issues to both technical and non-technical stakeholders.


  • 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:

  • Advanced Technical Skills:
    • Experience with Python ML tools such as Pytorch, Tensorflow, Jupyter Notebooks, Pandas, scikit-learn, and Numpy.
    • Experience with Spark and UI development tools like Flask, Plotly, Streamlit.
    • Understanding of continuous integration, testing, deployment, and release methodologies.
    • Participation in Kaggle competitions is a plus.
Job Type: Full Time
Job Location: Remote USA

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