entry level java programmer /data scientist

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Job Overview

The Entry Level Java Programmer/Data Scientist at SynergisticIT plays a crucial role in supporting our data-driven initiatives and software development projects. This position involves collaborating with cross-functional teams to analyze data, develop software solutions, and contribute to the enhancement of our systems. The ideal candidate will leverage their programming skills in Java and their understanding of data science concepts to extract valuable insights and drive innovation within our organization.

Job Responsibilities

• Assist in developing and maintaining Java applications, ensuring high performance and responsiveness.
• Collaborate with data analysts and other stakeholders to gather requirements and understand data needs.
• Perform data analysis using statistical methods and tools to derive actionable insights.
• Support the integration of data from various sources into our systems.
• Write clean, maintainable, and efficient Java code, following industry best practices.
• Participate in code reviews to uphold quality standards and improve code quality.
• Document software specifications and contribute to the creation of project documentation.
• Stay updated with emerging trends and technologies in software development and data science.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field.
• Basic knowledge of Java programming and its frameworks.
• Familiarity with data analysis techniques and tools (e.g., Python, R, SQL).
• Understanding of statistical methods and algorithms.
• Strong analytical and problem-solving abilities.
• Ability to work collaboratively in a team environment.
• Excellent written and verbal communication skills.
• Willingness to learn and adapt to new technologies.

Technologies & Tools

The Entry Level Java Programmer/Data Scientist will be working with a variety of technologies and tools, including but not limited to Java, Spring Framework, Apache Hadoop, and SQL databases. Familiarity with data visualization tools such as Tableau or Power BI may also be beneficial. Additionally, knowledge of version control systems (e.g., Git) and data processing frameworks like Pandas or NumPy will be advantageous in this role.

Ideal Candidates

Ideal candidates for this position will possess a proactive attitude towards learning and problem-solving. They will demonstrate a passion for both programming and data science, showcasing a strong desire to leverage technology to drive business insights. Excellent organizational skills, attention to detail, and the ability to work well under pressure are essential traits. Furthermore, candidates should exhibit effective communication skills, allowing them to articulate technical concepts to non-technical stakeholders clearly.