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Software development on-demand

Data Scientist

$150k – $200k • No equity
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Develop, test, implement, and potentially maintain statistical modeling implementations

Design experiments and interpret the results to draw detailed and actionable conclusions to enhance the product

Guide the data formulation process, which may include identification of attributes, exploratory data analysis, data transformation, and temporal layout

Communicate clearly with client stakeholders, who could be CIOs of major enterprise companies, to provide data-related recommendations and solutions

Qualifications
Quantitative background: Advanced degree in quantitative field, such as computer science, statistics or mathematics, preferred

4 years+ work experience in a data-related research or company role, implementing statistical and data-mining techniques in an applied production environment (i.e. Classification, ranking, segmentation, multivariate regression and/or pattern recognition techniques)

Experience with common analytical toolkits and languages, such as Python, R, SQL, Weka, NumPy, MatLab, with additional familiarity in software engineering

Comfort working with extremely large data sets and relational databases

Research mindset with bias towards action - ability to structure a project from idea to experimentation to prototype to implementation

Excellent capability to communicate complex ideas and solution recommendations to both fellow team members and clients

Ability to work collaboratively in high-intensity and fast-paced environments with numerous team members