Planet Technologies is looking to solve the problem of enhancing operational efficiency, data management, and digital transformation initiatives for its clients through innovative IT services and consulting.
Requirements
- Strong proficiency with Microsoft Power Platform, SharePoint, and InfoPath
- Excellent understanding of machine learning techniques and algorithms
- Experience working with common data science toolkits such as R, Weka, NumPy, MATLAB, and BI tools like Power BI, Anaconda, and SPSS
- Experience in connecting to and manipulating data from FBI systems or similar repositories
- Solid foundation in data analysis, statistical modeling, and automation
- Proficiency in SQL, R, Python
- Experience with data visualization tools
Responsibilities
- Builds, maintains, and enhances dashboards, applications, and automation workflows to streamline data processes and reporting.
- Connects to APIs, facilitates system-to-system integrations, and manages manual data transfers for efficient ETL operations.
- Develops predictive risk models employing statistical analysis to support risk assessment and management strategies.
- Applies AI and machine learning methodologies to extract insights from unstructured documentation and data sources.
- Designs and executes comprehensive data calls, including data normalization, cleaning, and visualization to support business needs.
- Creates and presents business intelligence analyses and visualizations to management, aiding strategic decision-making.
- Incorporates various data science tools such as SQL, R, Python into services to enhance analytical capabilities.
Other
- Bachelor's degree or higher in a relevant field
- Relevant certifications or a proven track record of impactful projects
- Strong communication and collaboration skills
- Ability to work in a team environment
- Commitment to continuous learning and professional growth
