Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
End to end feature engineering
brainstorm, create, validate, down-select, etc.
Write production level code in a dynamic, start-up environment
Solve complex problems using terabyte size data sets
Apply a variety of machine learning techniques to a business problem to arrive at optimal approach
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Explain and visualize results and algorithm performance to non-technical audiences
Support the company's commitment to protect the integrity and confidentiality of systems and data.

Bachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field;
A minimum of 4 years data science, engineering, mathematics, or related work experience is required.
Experience developing data science pipelines & workflows in Python, R or equivalent programming language.
Experience in writing and tuning SQL.
Experience handling terabyte size datasets
Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
Experience using ML libraries, such as scikit-learn, mllib, etc.
Experience using data visualization tools
Able to write production level code, which is well-written and explainable
Interest to do lots and lots of proof of concepts/rapid prototyping
Ability to effectively communicate findings from complex analyses to non-technical audiences.

Data Scientist II – Contract

Key skills