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 fieldNice-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 experienceWhat 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