entry level java programmer /data scientist

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SynergisticIT is seeking an Entry Level Java Programmer / Data Scientist to join our dynamic team. The successful candidate will be responsible for developing and implementing software solutions using Java and contributing to various data-driven projects. This role involves collaborating with other team members to analyze data sets, create algorithms, and provide actionable insights to enhance our operational efficiency and overall business strategies.

Job Responsibilities

• Develop and maintain efficient and reliable Java code to support various applications.
• Analyze large datasets to extract meaningful insights and trends.
• Collaborate with cross-functional teams to define, design, and implement new features.
• Participate in code reviews and provide constructive feedback to peers.
• Assist in troubleshooting, debugging, and optimizing applications.
• Perform data analysis and visualization using appropriate tools and technologies.
• Document technical specifications and processes as per the organization's standards.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Basic understanding of Java programming and object-oriented principles.
• Familiarity with data analysis tools and techniques.
• Experience with databases and SQL queries is an advantage.
• Strong analytical and problem-solving skills.
• Ability to work independently as well as in a collaborative team environment.
• Excellent communication skills, both written and verbal.

Technologies & Tools

The Entry Level Java Programmer / Data Scientist will primarily work with Java as the main programming language. Additional technologies and tools include SQL for database management, Python and R for data analysis and visualization, and software like Git for version control. Familiarity with data visualization tools such as Tableau or Power BI will also be beneficial.

Ideal Candidates

The ideal candidate for this position is a self-motivated individual with a passion for technology and data. They should possess a strong willingness to learn and adapt to new technologies and methodologies. Successful candidates will be detail-oriented and proactive, demonstrating a continuous desire for improvement. Excellent teamwork and communication skills will enable them to thrive in a collaborative environment while contributing effectively to projects and discussions.