entry level java programmer /data scientist

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Job Overview

SynergisticIT is seeking an entry-level Java Programmer/Data Scientist who will be integral in supporting our development and data analysis efforts. In this role, you will assist with designing, developing, and maintaining Java applications while also engaging in data collection, analysis, and visualization tasks. You will work collaboratively within a team to ensure that software solutions are robust, efficient, and meet the requirements of our projects. This position offers a unique opportunity to gain hands-on experience in both programming and data science, contributing to high-impact projects within a dynamic environment.

Job Responsibilities

• Assist in designing, coding, testing, and debugging Java applications according to established specifications.
• Participate in data collection and preprocessing activities for analysis and model development.
• Utilize data visualization tools to communicate findings and insights effectively to stakeholders.
• Work collaboratively with team members to deliver project milestones on time and to quality standards.
• Maintain documentation for code and data processes to ensure clarity and knowledge transfer within the team.
• Stay current with industry trends in Java programming and data science best practices.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Basic understanding of Java programming language and web technologies.
• Familiarity with database management systems, SQL, and data manipulation.
• Exposure to data analysis tools and libraries such as Python, R, or similar is a plus.
• Strong analytical skills and attention to detail.
• Excellent communication and teamwork abilities.

Technologies & Tools

The entry-level Java Programmer/Data Scientist will primarily work with Java for application development and will utilize data analysis tools such as Python and R for inspection and modeling of data. Familiarity with SQL databases and tools such as Jupyter Notebooks or Tableau for data visualization will also be beneficial. Additional tools may include integrated development environments (IDEs) such as Eclipse or IntelliJ IDEA, and version control systems like Git.

Ideal Candidates

Ideal candidates for this position should possess a strong desire to learn and grow in both programming and data science domains. They should be open-minded, detail-oriented, and capable of working both independently and collaboratively in a team environment. A proactive approach to problem-solving, combined with a passion for technology and data, will contribute to their success in this role. Strong interpersonal skills and the ability to communicate technical concepts to non-technical stakeholders are also crucial attributes for the ideal candidate.