Data Scientist (Level 4)

Data Scientist (Level 4) TS/SCI Clearance Required Springfield, VA General Responsibilities: Duties include: - Apply extensive knowledge to integrate, develop, and maintain analytic models, visualizations, and tools to evaluate, analyze and communicate internal/external user behavior and overarching enterprise or portfolio performance. - Provide statistical and mathematical support in assisting in the analysis and interpretation of a wide range of data to help understand and improve the customer's experience. - Leverage a range of data sources (e.g., Web traffic, customer requests for information, survey responses, production databases, etc.) for an understanding of what drives a positive customer experience. - Provide insights that will be used to inform decisions and agency operational strategies, in partnership with teams examining website design, customer interactions, featured content, and future products and services. - Apply business analytics and customer segmentation techniques in any corporate function, e.g. marketing analytics, consumer analytics, operations analysis, human capital analytics, or other relevant fields. - Maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. - Establish an agile analytics process that provides better insight into ongoing analytic/data visualization activities. - Manage an inventory of implemented dashboards, other analytic products and current product backlog for implementation. Required Skills and Experience: - Demonstrated experience developing data analytics models and visualizations employing proven industry standards in statistic/data science principals, practices, and techniques in the analyses of business data. - Demonstrated experience developing dashboards to effectively convey site metrics to non-technical audiences, to include but not limited to communicating warnings and limitations of both coding techniques and statistical analyses depicting current state and providing insight to improvement plan implementation strategies and milestone achievement. - Demonstrated experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.). - Demonstrated experience data mining, to include developing, manipulating, or maintaining databases. - Demonstrated experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.) to summarize statistical data and create documents, reports, and presentations. - Demonstrated ability to proactively identify methods and approaches to expand and enhance the analytic capacity and ability of an existing portfolio. Desired Skills: - Demonstrated experience effectively communicating with various partners, stakeholders, or customers on the value of statistical and data science methods to include but not limited to: - the strength of models/formulas, - their limitations, warnings, and weaknesses in various applications. - Demonstrated experience embracing and participating in a culture of knowledge sharing to broaden the understanding of: - advanced methods or - niche statistical methods and - data science analytic methods and - coding techniques to include fundamental understanding of model/formula strength, limitations, warnings, and weaknesses when applied in various scenarios.