Senior Data Scientist

Senior Data Scientist - (1763)

Senior Data Scientist – McLean, VA 22102 US (Primary)

Category:
Research, Development, and Engineering

Job Type: Full-Time, Staff

Education:

Bachelor's Degree

Travel:
None

Security

Clearance Required:

TS/SCI

Prescient Edge is seeking a Senior Data Scientist to support federal government clients.

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:

• Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and use scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieve information from various sources, analyze it for better understanding about the data set, and build AI tools that automate certain processes.
• Duties typically include creating various ML based tools or processes, such as recommendation engines or automated lead scoring systems.
• Perform statistical analysis, apply data mining techniques, and build 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 R and 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 such 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 Open Shift.
• 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.

Desired experiences:

• At least 8 years of professional experience with data science.
• Experience with software integration or testing, including analyzing and…