Mid. Data Scientist; OBI Analytic Efficiency Enablement

Mid. Data Scientist (OBI Analytic Efficiency Enablement) - (2684)

Job Title

Mid. Data Scientist (OBI Analytic Efficiency Enablement)

Location

NCR, US (Primary)

Category

Job Type

Full-Time

Staff

Education

Bachelor's Degree

Travel

None

Security Clearance Required

TS/SCI with CI Polygraph

Job Description

Prescient Edge is seeking a Mid Data Scientist to support a federal government client.

Please note that the availability of this position is contingent upon contract award.

Mid. Data Scientist (OBI Analytic Efficiency Enablement)

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.

Description:

• 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 informed analytic decisions.
• Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds 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.
• 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 R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Should have prior experience with large data Multi‑INT analytics, ML, and automated predictive analytics.
• Provides incremental enhancements to tools, capabilities, processes, and methods.
• Possesses in‑depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Writes either R or Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Possesses prior experience with large data, spatial data, Multi‑INT analytics, ML, and automated predictive analytics.
• Works with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations.
• This requires working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all‑source intelligence analysis and production.
• Creates and works in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.
• Serves as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract.
• Provides advice on emerging data science methods, tools, algorithms, training, or requirements to advance DIA's analytic edge in its use of data science.
• Works with DIA vendors and software developers to implement distributed algorithms to work on increasingly large and complex data sets.
• Possesses a professional or graduate certificate in data science from a university,…