Number of positions: 1
1. Collaborate with stakeholders across business groups to understand the strategic goals and be able to translate requirements into Data Science solutions
2. Analyze complex datasets to identify insights and ultimately design and implement machine learning models to solve business problems.
3. Analyze large volumes of structured and unstructured data sets and perform data wrangling and analysis techniques to effectively assess data quality.
4. Using R, Python (Pandas, NumPy libraries) or an equivalent analysis tool, design and implement efficient and scalable code for data manipulation and model development.
5. Demonstrate expertise in three core pillars of data science tool kit - Data Modeling & Transformation, Data Storytelling and Data Visualization.
7. Communicate technical analysis and insights to a broader stakeholder group in an easy and concise manner.
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