United States onlyClearance: 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.
CA, GB + 1 more