entry level java programmer /data scientist
Job Description
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Written by AI from the job title and company, not by SynergisticIT, so some details may not match this job. The employer's own page has the real description.
Job Overview
SynergisticIT is seeking an enthusiastic and motivated Entry Level Java Programmer/Data Scientist to join our dynamic team. In this role, the candidate will be responsible for developing robust Java applications and leveraging data science techniques to analyze and interpret complex data sets. The successful candidate will collaborate with other team members to design, build, and maintain software solutions that meet business needs, while continuously improving their skill set in programming and data analysis.
Job Responsibilities
- Develop and maintain Java applications following established best practices.
- Assist in the analysis and interpretation of data to support decision-making processes.
- Collaborate with cross-functional teams to define software requirements and specifications.
- Implement data processing and visualization tools to facilitate data exploration and insights.
- Conduct unit testing and debugging to ensure software reliability and performance.
- Document code, processes, and technical specifications for future reference.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Familiarity with Java programming language and object-oriented programming principles.
- Basic knowledge of data analysis techniques and frameworks such as Python, R, or SQL.
- Understanding of software development methodologies such as Agile or Scrum.
- Strong problem-solving skills and ability to work in a team-oriented environment.
- Excellent communication skills, both written and verbal.
Technologies & Tools
The Entry Level Java Programmer/Data Scientist will utilize a range of technologies and tools including Java development frameworks, integrated development environments (IDEs) such as Eclipse or IntelliJ IDEA, version control systems like Git, and various data analysis and visualization tools such as Python libraries (Pandas, Matplotlib), R, or SQL databases. Familiarity with cloud services and machine learning platforms will also be beneficial for this role.
Ideal Candidates
The ideal candidate for this position will possess a strong analytical mindset, coupled with a passion for programming and data analysis. They are expected to be detail-oriented, adaptable, and eager to learn new technologies and methodologies. A proactive approach to problem-solving, along with effective collaboration skills, is essential for success in this role. Candidates who thrive in a fast-paced environment and demonstrate a commitment to continuous improvement will excel at SynergisticIT.
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