entry level java programmer/entry level data scientist /data analyst

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Job Overview

SynergisticIT is seeking a motivated and detail-oriented Entry Level Java Programmer/Data Scientist/Data Analyst to join our dynamic team. In this tri-faceted role, the successful candidate will engage in software development, data analysis, and scientific inquiry. They will collaborate with cross-functional teams to design, develop, and implement solutions while analyzing data to drive business insights and support decision-making processes. This position will provide foundational experience in programming, data management, and analytical techniques while contributing to meaningful projects within the organization.

Job Responsibilities

• Develop and maintain Java applications according to specifications and requirements.
• Conduct data analysis to identify trends, patterns, and anomalies that inform business strategies.
• Assist in the data visualization process using appropriate tools to effectively communicate insights.
• Participate in code reviews and testing to ensure quality and performance of software solutions.
• Collaborate with senior team members to troubleshoot and debug applications.
• Document code and processes to facilitate knowledge sharing among team members.
• Help in gathering and understanding requirements from stakeholders to develop effective solutions.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Basic knowledge of Java programming language and object-oriented design principles.
• Familiarity with data analysis techniques and tools (e.g., Python, SQL, Excel).
• Understanding of statistical concepts and data modeling practices.
• Strong analytical and troubleshooting skills.
• Excellent communication skills and the ability to work collaboratively in a team environment.
• Willingness to learn and adapt to new technologies and methodologies.

Technologies & Tools

The Entry Level Java Programmer/Data Scientist/Data Analyst will utilize a variety of technologies and tools, including but not limited to Java IDEs (such as Eclipse or IntelliJ), data visualization tools (such as Tableau or Power BI), databases (SQL and NoSQL), and statistical analysis software (such as R or Python libraries). Familiarity with cloud computing platforms and version control systems (such as Git) will also be advantageous.

Ideal Candidates

The ideal candidates for this role will be team-oriented individuals who exhibit a strong willingness to learn and adapt. They should possess analytical thinking skills and an innate curiosity to explore data-driven insights. Successful candidates will demonstrate a proactive approach to problem-solving, a friendly demeanor to work effectively with diverse teams, and a passion for technology and data analytics. Strong attention to detail and the ability to prioritize tasks in a fast-paced environment will also be key attributes.