Data Scientist

About

Anika Systems is a fast-growing, woman-owned small business that specializes in providing innovative IT solutions for federal government agencies. Our expertise lies in accelerating delivery in Data and Analytics, Intelligent Automation, Application Development, and IT Modernization. We are currently expanding our federal team and are seeking a passionate and talented Data Scientist. This opportunity is 100% remote.

Clearance

• Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance

Responsibilities and Duties

Data Management

• Cleanse, organize, and translate large volumes of data in various file formats, including digital asset transactions and data supporting tax non‑compliance detection.

Data Integration

• Manually and automatically load data into SAP IQ and Oracle databases.

Data Curation

• Implement data curation strategies to promote data ingestion, integration, quality, and access efficiency.

Reporting Enhancement

• Expand reporting methodologies to address data compilation, visualization, and analysis needs for Criminal Investigation and civil business units.

Automation

• Automate routine criminal investigative tasks to enhance efficiency and secure data access from systems‑of‑record and other program information systems.
• Integrate with various automation systems, including Robotic Process Automation and client Systems of Record.

Document Compilation and Analytics

• Perform criminal investigation case‑level document compilation, indexing, searching, and analytics using natural language processing tools.
• Create dashboard formats incorporating data visualization, analytics, and AI‑supported data management and interpretation tools.

Big Data Analytics

• Conduct Big Data Analytics studies and analysis, focusing on detecting non‑compliance in digital asset transactions.
• Perform standard univariate and multivariate statistical analyses, including clustering techniques, multiple regression, and factor analysis.
• Apply Artificial Intelligence, incorporating “Trustworthy AI” principles to eliminate bias and unintended consequences.
• Develop data visualization and dashboarding solutions.
• Promote data science adoption among frontline employees through coaching, feedback, and training.

Qualifications

• Bachelor's Degree in a related field or comparable education and experience.
• 5 or more years of job‑related experience.
• Experience with SAS, R, SQL, and Python.

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