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Make Sense of Global Market

Data Scientist

$60k – $140k • 0.0% – 7.0%
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Overview


The successful candidate will have extensive experience applying a range of econometrics/statistics models to a diverse set of data. You should enjoy moving beyond the theoretic confines of academia to applying your tradecraft in the real world and producing data driven products that will be used by decision makers throughout the global business community and beyond



Qualifications



Identify, research, prototype and build predictive products

Analyze, transform, structure and crunch financial data that is growing in size, diversity and complexity

Experience with various machine learning techniques and parameters that affect their performance

Write production-ready code to identify interesting outliers, anomalies, correlations and associations

Write tests to ensure the robustness and reliability of the team's productionized models

Degree in PhD is preferred





Job Description



Advanced degree in Computer Science, Statistics, Economics or related quantitative field

At least one core programming expertise, such as python (,NumPy, SciPy, scikit-learn, TensorFlow, Pandas) or R

Experience with advanced machine learning, natural language process and statistics model

Strong statistical knowledge and intuition, especially for applying analysis to real data

Work with engineers to develop efficient data querying infrastructure





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