What you will do

• Process both structured and unstructured data, and analyze data to discover trends and patterns by exploring the data;
• 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;
• Present insights using data visualization techniques;
• Collaborate with engineering and product development teams to productionize the developed AI model.

Requirements

REQUIREMENTS

• Bachelor’s degree or higher in a relevant analytical field with at least 2 years of relevant domain experience in retail and CPG;
• Skilled with data science programming in Python (pandas, writing classes, productionize the models) and SQL;
• Experience in Statistical Modeling and Machine Learning;
• Prototyping;
• Data Interpretation and Visualization;
• Presentation skills;
• Storytelling with data.

Skills

• Python, Cloud engineering, SQL, Basic ML algorithms;
• Experience with Transaction data and time series data;
• Ability to understand large scale software & system architecture;
• Able to communicate technical issues with technical & non-technical stakeholders.

Nice to Have

• Experience with Python ML tools: Pytorch, Tensorflow, Jupyter Notebooks, Pandas, scikit-learn, Numpy;
• Experience with Spark;
• Experience with UI: Flask, Plotly, Streamlit;
• Understanding of Continuous integration, testing, deployment & release methodologies;
• Experience in Kaggle participation.