Data Scientist III

<strong>Reflexive Concepts is seeking a Data Scientist III to join our team! </strong><br />
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The Data Scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.<br />
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<strong>Requirements:</strong>
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<li>Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB.
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<li>An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.</li>
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<li>A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required.
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<li>A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.</li>
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<strong>Capabilities:</strong>

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<li>Produce data visualizations that provide insight into dataset structure and meaning</li>
<li>Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)</li>
<li>Incorporate SME input into feature vectors suitable for analytic development and testing</li>
<li>Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes</li>
<li>Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics</li>
<li>Develop statistical tests to make data-driven recommendations and decisions</li>
<li>Develop experiments to collect data or models to simulate data when required data are unavailable</li>
<li>Develop feature vectors for input into machine learning algorithms</li>
<li>Identify the most appropriate algorithm for a given dataset and tune input and model parameters</li>
<li>Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)</li>
<li>Oversee the development of individual analytic efforts and guide team in analytic development process</li>
<li>Guide analytic development toward solutions that can scale to large datasets</li>
<li>Partner with software engineers and cloud developers to develop production analytics</li>
<li>Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation</li>
<li>Lead a team of data scientists in the development of multiple analytic efforts</li>
<li>Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements</li>
<li>Guide the transition of prototyped analytics to production system</li>
<li>Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions</li>
<li>Delegate analysis responsibilities to one or more team members and monitor performance</li>
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