What makes a good Data Scientist?
Good Data Scientists are not only technically strong. They also understand and care about their product.
They collaborate closely with cross-functional partners and other Data Scientists, communicate their work, and proactively tell stories to drive the business forward.
Check out the infographic below for some basics on what a data science career looks like (or click the play button on the audio player below for an audio description):
Image source: elearninginfographics.com
Familiarity with foundational statistical terms like hypothesis testing, regression, bayesian, p-value, etc.
Machine Learning Modeling
Understanding the fundamentals of machine learning is usually preferred
Building machine learning models might be optional
Build Data Pipelines
Build data pipelines to simplify the querying process and schedule regular data processing activities
Present data and insights to business and executive leaders as well as stakeholders in a visual format (can be charts/diagrams/plots)
Influence the roadmap of a product
Produce reliable and actionable insights, not just create predictive models
Communication and Collaboration
Work with cross-functional teams by clearly communicating insights and recommendations
My Journey to Data Science
Undergraduate degree in Computer Engineering
Masters in Management Sciences focusing on Data Science
Started working as a Data Analyst at Gore Mutual
Promoted to Data Scientist