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A merchant's personal data scientist

Data Scientist

$100k – $120k • 0.01% – 0.025%
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We are seeking a Data Scientist who is eager to solve complex and intellectually stimulating problems related to social media, search and e-commerce big-data sets, natural language and image processing computational challenges. We work with multiple Fortune 500 companies and disruptive online retailers, many who are interested in our next stage of development.

Responsibilities:
-Work on large data sets of structured, semi-structured, and unstructured data to discover data insights and collaborate with business partners to deliver business value through these insights.
-Develop data analytics heuristic and algorithmic solutions that can be repeatedly applied to new data in a production enterprise-software environment.
-Apply techniques based on predictive, behavioral or other models via statistical analysis and use of relevant modeling tools and libraries.
-Design and develop production-ready code using various programming language, framework and environments including Python, NoSQL, SQL and others.
-Present findings to all levels of the organization, including peers, senior management and customers.

Qualifications:
-BA/BS in Mathematics, Statistics, Computer Science, Engineering or other quantitative disciplines.
-3+ years of experience doing quantitative analysis.
-Extensive experience solving analytical problems using quantitative approaches and a proven passion for generating insights from data.
-Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources such as time series, text and images.
-Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics such as time series analysis, logistic regression, natural language processing, computer vision.
-Experience in designing data insight solutions using technologies such as Python (Pandas, Numpy, Tensorflow Keras and Pytorch), NoSQL DB (MongoDB, ElasticSearch), SQL DB (Postgres), Cloud Environment (AWS, GCP, Azure)
-Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

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