Data Science  

• Perform data manipulations
  • cleaning, formatting, splitting, joining datasets
• Design, implement, train, and assess performance of a Machine Learning Model
  • estimate timeline for the entire pipeline much better if more granular (i.e., estimated time for each step of the pipeline)
• Setup/prepare trained model for deployment
• Communication with clients (verbal and written)
  • understand the client’s pain points
  • understand the problem the client wants to solve
  • assess if a Data Science solution is appropriate for the problem
  • identify appropriate Data Science solution approaches for a given problem
  • identify required data for the Data Science solution
  • communicate data requirements to the client or via the designated client-facing
  • personnel (Pre-Sales, Sales, Account Manager, etc.)

As a team member

• help cultivate a psychologically safe environment
• encourage and help other team members on their weak points, as well as be open to asking for other team members’ help on your own weak

Skills

• Python
• familiarity with Pandas, Numpy, sklearn
• Machine Learning
• familiarity with the pipeline of steps for developing a Machine Learning
• model

Educational background

• undergraduate degree in Computer Science, Statistics, Math, Physics, Engineering, or any related field

Experience

• must have experience implementing a Machine Learning project
• can be as a project in your company, a freelance project, or a personal project
• can be as part of a group
• must be able to explain the process of how you developed the model
• describe pipeline
• data acquisition, cleaning