Senior Data Scientist - Python, SQL

  • Closed
  • US Company | Medium (51-250 employees)
  • LATAM (100% remote)
  • 5+ years
  • Full-time (40h)
  • Artificial Intelligence / Machine Learning
  • Full Remote

Required skills

  • Python
  • SQL
  • Machine Learning
  • Price Elasticity

Requirements

Must-haves

  • 5+ years of Data Science experience
  • 2+ years of experience in retail
  • Proficiency with Python
  • Deep understanding of SQL
  • Knowledge of Price Elasticity
  • Cloud engineering experience
  • Experience with Statistical Modeling and Machine Learning
  • Experience with time series analysis, regression, and forecasting models
  • Experience building models from scratch
  • Experience with prototyping and testing
  • Experience with transaction and time series data
  • Data interpretation, visualization, and presentation skills
  • Storytelling with data
  • Strong communication skills in both spoken and written English
  • Bachelor's Degree or higher in a relevant analytical field

Nice-to-haves

  • Pytorch, Tensorflow, Jupyter Notebooks, Pandas, scikit-learn, Numpy, Spark, Flask, Plotly, Streamlit
  • Understanding of continuous integration, testing, deployment, and release methodologies
  • Experience in Kaggle participation
  • Experience with CPG
  • Experience with a large volume of data
  • Startup experience

What you will work on

  • Process both structured and unstructured data
  • Analyze data to discover trends and patterns
  • Build predictive models and machine learning algorithms
  • Evaluate different models
  • Build AI/ML product prototypes
  • Present insights using data visualization techniques
  • Collaborate with engineering and product development teams
  • Communicate technical issues with technical and non-technical stakeholders
  • Understand large-scale software and system architecture
  • Stay up-to-date with emerging trends and technologies in Data Science

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