Data Scientist
$81K-$140K (Glassdoor est.)
As a Data Scientist, you will play a critical role in executing the global eCommerce growth agenda. You will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will collaborate with the larger data science and analytics teams to create a robust, shared code base; on which we will build automated eCommerce systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.

Responsibilities
Work with the larger data science team to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights
Write clean, organized machine learning code using standard software engineering methodologies
Provide critical thought leadership to enhance organizational capabilities by utilizing big and small data; work with DSA team members to identify and execute on opportunities for enhancement
Qualifications/Requirements
Education in a computer science/math related technical field (Masters preferred, bachelors minimum)
Development experience in Python Experience and or familiarity NumPy, Pandas, Sklearn, SQL/NoSQL databases
Experience using Tensorflow or similar framework to design custom deep learning systems
Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions Candidate should be a competent software engineer capable of contributing to our software repository and owning/leading complex ML software projects Experience in designing systems to solve business problems
Demonstrated ability to effectively and concisely communicate with both business and technical audiences Bonus points for deep RL or NLP experience
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