- Proficiency in Data Science workflow (ETL, EDA, Feature Engineering, DS Model Building and Model tuning, Data Validation, Model Implementation)
- R and Python Languages
- Data Visualization and Analysis
- Strong Statistical Analysis skills and concepts
- Understanding of Forecasting Techniques
- Experience in working with pipelines and big data (e.g. Hive / Spark / Cosmos)
- Good Database Knowledge (SQL)
- Understanding of key supervised, unsupervised algorithms prevalent in the industry, with sound knowledge of their implementation, merits and demerits
Desirable Technical Skills: Azure Machine Learning, Cognitive Services, Azure Data Factory Pipeline
Mandatory Functional Skills:
- Ability to work in a team, as well as an independent contributor
- Proactive and creative about solutioning - candidate may have to generate novel solution based on business inputs - with minimal guidance on what kind of models need to be built to get effective insights.
- Excellence communication skills - candidate has to work with multiple business stakeholders, and obtain requirements, sign-offs, be key presenter in milestone review meetings, collaboratively work in cross-functional teams (Data Engineering, Reporting, Analysts) and champion solution implementation through orchestrated effort.
Desirable Functional Skills: Understanding of retail marketing