Responsibilities
- Help customers translate their data and problems in ways that our ML system can best solve them
- Create requirements and select algorithms for tools that customers can use themselves in conjunction with our ML system
- Characterize aspects of our ML system and recommend ways it can be improved
- Identify a new customer’s problems and data sets where we can deliver the most value
- Transform and process the data sets to maximize accuracy, performance, and ML transparency
- Communicate results to customers and make recommendations for future work
Qualifications
- Experience applying machine learning and advanced statistics techniques to solve problems
- Experience with all aspects of feature engineering, including interviewing subject matter experts, feature transformation, feature evaluation, and feature selection
- Good writing and communication skills
- Proficiency with a productive data science language such as Python, R, Scala, etc.
- Approachable, friendly demeanor
- Ability and willingness to accept criticism, give criticism, and justify reasoning on either end of an argument
We’re REALLY excited if you…
- Love to explain machine learning to non-experts
- Enjoy writing beautiful, reusable code
- Would be excited to visit and onboard clients
You might find yourself contributing to our platform if you…
- Read and prototype machine learning research for fun
- Have a breadth of knowledge in machine learning, mathematics, computer science, and statistics
- Read graduate level mathematics books by the pool
by via developer jobs - Stack Overflow
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