Clearance: Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance
As a Data Scientist at Anika Systems, you will play a pivotal role in enhancing sophisticated dashboards that engage users and emphasize key data points, with a specific focus on specialized reporting for digital assets. This role involves extensive data integration, agile development, and a keen ability to adapt to rapidly changing automation needs and priorities. You will assist in applying industry best practices, creating conceptual business models, and addressing relevant issues to ensure effective solutions. Your expertise will also be crucial in assessing the operational and functional baseline of systems, defining engagement strategies, and meeting organizational needs.
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.
- Manually and automatically load data into SAP IQ and Oracle databases.
- Implement data curation strategies to promote data ingestion, integration, quality, and access efficiency.
- Expand reporting methodologies to address data compilation, visualization, and analysis needs for Criminal Investigation and civil business units.
- 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.
- 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.
- 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.
- 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.
Top Skills
What We Do
Anika Systems is a SBA certified 8A and EDWOSB firm. The pace at which the government is changing, there is a need for technology consulting companies that rise to those challenges by taking a fresh approach to problems, solutions that get to market faster, offer service that exceed the customers’ expectations and disrupt the status quo. Anika Systems is an outcome-driven technology consulting firm that helps federal agencies solve business problems and enable them for the future, with services and solutions spanning Data and Analytics, Intelligent Automation, IT Modernization, Application Development and Cloud Engineering. We’re a team of thinkers, lifelong learners, makers, and doers that deeply understand the Federal government customers missions and goals. Our teams are deeply connected and bring their shared experiences and insights to each and every engagement. With a Show me over Tell Me philosophy which is imbibed in our corporate DNA, we produce Minimum Viable Products (MVPs) and delight our customers with solutions, not boring "solution decks". We accomplish these MVPs in our poly-cloud based Virtual Innovation Transformation Acceleration Lab (VITAL), wherein we synthesize ideas into a business concept (intake), select ideas (assess, evaluate, decide) and implement the selected ideas using the appropriate technology (fulfillment). We specialize in building Agency-wide Centers of Excellence for Data and Analytics, Intelligent Automation and Cloud Management.
