No more applications are being accepted for this job
- 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.
- Applies business analytics and customer segmentation techniques in any corporate function, e.g
- 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
- TS/SCI
- 11+ years of experience
- Bachelor's Degree
- 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
- 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
Data Scientist - Springfield, VA, United States - ProCleared LLC
Description
Desired Skills:
We pride ourselves on swiftly delivering solutions tailored to government needs
Our commitment extends beyond our clients; we foster an empowering work environment and offer a comprehensive benefits package, including 100% employer-paid premiums for health, dental, vision, and life insurance, Paid Time Off, federal holidays, and a competitive 401k match
At ProCleared, we value our people, partners, and purpose.