Data Scientist

SUMMARY OF DAY TO DAY RESPONSIBILITIES:
• Work closely with business owners to identify opportunities and serve as an ambassador for data science.
• Be familiar with the business context and data infrastructure and can translate business problems to viable data science solutions.
• Use a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business.

SHAREHOLDER
• Analytical thought leadership and stay current on developments in data mining and the application of data science.
• Solicit and offer ideas for improving business processes through insights with the objective of improving effectiveness and efficiency.

MUST HAVE:

1.) In depth knowledge of Data Science theory

2.) Expert knowledge in SQL, Python, and PySpark

3.) Working knowledge of MLOps and end-to-end Data Science pipelines

4.) Working knowledge of end-to-end Architectural paradigms