SME Data Scientist (Lead AI Architect)

Prescient Edge is seeking a SME Data Scientist (Lead AI Architect) to support a Federal Government client.

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

Benefits & Compensation:

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.
• Salary range: $180,000 - $230,000. Salary to be determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data.

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.
• Possesses a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level).