Senior Data Scientist
Company: Prescient Edge
Location: Mc Lean
Posted on: April 1, 2026
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Job Description:
Description Prescient Edge is seeking a Senior Data Scientist to
support federal government clients. Benefits: At Prescient Edge, we
believe that acting with integrity and serving our employees is the
key to everyone's success. To that end, we provide employees with a
best-in-class benefits package that includes: A competitive salary
with performance bonus opportunities. Comprehensive healthcare
benefits, including medical, vision, dental, and orthodontia
coverage. A substantial retirement plan with no vesting schedule.
Career development opportunities, including on-the-job training,
tuition reimbursement, and networking. A positive work environment
where employees are respected, supported, and engaged. As a Senior
Data Scientist, you will: Conducts data analytics, data
engineering, data mining, exploratory analysis, predictive
analysis, and statistical analysis, and uses scientific techniques
to correlate data into graphical, written, visual and verbal
narrative products, enabling more infom1ed analytic decisions.
Proactively retrieves information from various sources, analyzes it
for better understanding about the data set, and builds Al tools
that automate certain processes. Duties typically include creating
various ML based tools or processes, such as recommendation
engines or automated lead scoring systems. Performs statistical
analysis, applies data mining techniques, and builds high quality
prediction systems. Should be skilled in data visualization and use
of graphical applications, including Microsoft Office (Power BI)
and Tableau; major data science languages, such as Rand Python;
managing and merging of disparate data sources, preferably through
R, Python, or SQL; statistical analysis; and data mining
algorithms. Design, prototype, test, and maintain software and
web-based applications and content solutions to satisfy customer
requirements. Support software and web architecture development,
requirements analysis, process execution and evaluation, selection,
and evaluation of COTS/GOTS tools, and integration (with both new
and legacy systems). Work with and design, prototype, & deployment
of complex asynchronous frameworks. Perform and oversee data
engineering tasks such as writing scripts, calling APIs, web
scraping, and writing SQL queries to handle large datasets.
Customize and oversee integration tools, warehouses, databases, and
analytical systems Advanced experience with databases design for
big data, such as management of large data sets, and/or design and
implementation of data stores to support analysis and scalable
processing and storage for high frequency/high volume data
pipelines. Configure and provide availability for data-access tools
used by all data scientists. Work with and design, develop, and
actively participate in open-source libraries and technologies such
as the Netflix/Twitter stack or equivalent Microservices tooling
sud1 as Service Discovery, Circuit Breakers, and Software Load
Balancing. Design, prototype, and integrate distributed caching
frameworks such as Evcache and Redis Work with Platforms as a
Service such as AWS, Cloud and OpenShift. Follow a formal design
process using formal specifications, data flow diagrams, and other
accepted design techniques and also shall adhere to laws,
standards, and established guidelines for prototyping and delivery
of software and web tools (e.g., software reuse, modifiable,
efficient, reliable, understandable, fault tolerant). Shall provide
software process management and configuration management throughout
the software/web prototyping lifecycle. Collaborate between team
members, participating in AGILE scrum for prototyping and product
development, as needed. Aid in the development of strategies,
roadmaps, standards, and reference architecture / implementation of
prototypes into Enterprise tools. Develop and maintain current and
planned state architectural documents such as Domain roadmaps,
Standards, Patterns, reference architecture/implementation
documents for Enterprise Applications. Develop full-stack and
reference architecture designs for infrastructure across hybrid
environments inclusive of cloud platforms. Should have prior
experience with large data Multi-INT analytics, ML, large language
models, and automated predictive analytics. Shall solve complex
problems with many variables using various security, network,
storage, and computer platforms. Shall participate in the
development of governance processes to ensure that objectives are
achieved, risks are managed appropriately, and the organization's
resources are used responsibly for the infrastructure landscape.
Requirements Desired experiences: At least 8 years of professional
experience with data science. Experience with software integration
or testing, including analyzing and implementing test plans and
scripts. Experience with frequent scripting language use, such as
Python and R and using packages commonly used in data science
applications or advanced analytics. Experience with data science,
data mining, statistics, or graph algorithms to support analytics
objectives. Demonstrates comprehensive mission knowledge and skills
that affirms completion of all developmental training and
experiences for the labor category. Demonstrates ability to
communicate understanding from information that may be incomplete,
indirect, highly complex, seemingly unrelated, &/or technically
advanced Demonstrates ability to work independently with minimal
oversight and direction. Demonstrates ability to collaborate and
work with other IC members on information sharing, driving
collection, and addressing analytic disputes and conflict
resolution. Experience applying Structured Query Language (SQL),
Non-Structured Query Language (NoSQL), Application Program
Interface (API) Building, Extract, Transform and Load (ETL)
pipelines, Web Application Servers, or Search Index. Experience
using programming languages and products such as Python, Jupyter
Notebook, Pandas, Numpy, Requests or Antigravity. Experience
applying complex mathematical and statistical concepts. Experience
applying statistical and operations research methods and tools.
Experience employing spreadsheets for data manipulations and
visualizations. Relevant industry certification such as CompTIA
Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of
Cloud Security (CCSK)/CompTIA A/CompTIA Security/EMC Data Science
Associates (EMCDSA)/Cloudera System Security Professional
(CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft
Certified Professional Developer (MCPD)/Microsoft Certified
Solution Developer (MCSD)/Microsoft Certified Solution Expert
(MCSE)/Private Cloud/Certified Administrator for Apache Hadoop
(CCAH) (Cloudera). Typical education: Bachelor’s degree. Security
Clearance: Security clearance – Minimum of TS, with ability to get
TS/SCI Location: Remote, with possible Client Site Travel.
Keywords: Prescient Edge, Richmond , Senior Data Scientist, IT / Software / Systems , Mc Lean, Virginia
