Entry level Java developer/entry level data scientist

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Overview

SynergisticIT is seeking an enthusiastic and motivated Entry Level Java Developer / Entry Level Data Scientist to join our dynamic team. In this dual role, the candidate will be involved in developing Java-based applications as well as assisting in data analysis and modeling processes. This position offers a unique opportunity to work on innovative projects that utilize both software development skills and data science techniques. The ideal candidate will be keen to learn, collaborate with cross-functional teams, and contribute to the success of the organization through their technical skills and creativity.

Job Responsibilities

• Assist in the design, development, and testing of Java applications.
• Collaborate with data scientists to develop and implement data models and algorithms.
• Participate in code reviews and contribute to continuous improvement practices.
• Analyze large datasets to extract meaningful insights and support decision-making processes.
• Write and maintain technical documentation for applications and data models.
• Support user acceptance testing and assist in troubleshooting issues as they arise.
• Continuously stay updated on emerging technologies and industry trends.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Familiarity with Java programming language and software development concepts.
• Understanding of basic data science principles and experience with data analysis tools.
• Proficient in analytical thinking and problem-solving techniques.
• Strong communication and teamwork skills.
• Knowledge of SQL and database management systems is a plus.

Technologies & Tools

This position requires familiarity with a variety of technologies and tools including, but not limited to, Java, SQL, data visualization tools (such as Tableau or Power BI), machine learning libraries (such as Sci-kit Learn or TensorFlow), and version control systems (like Git). Additionally, knowledge of integrated development environments (IDEs) such as Eclipse or IntelliJ is advantageous for effective application development.

Ideal Candidates

The ideal candidate for this position should possess a strong desire to learn and grow within the fields of software development and data science. They should demonstrate a proactive approach to problem-solving and exhibit attention to detail in their work. Additionally, effective collaboration and communication skills are crucial for success in this role as the candidate will be collaborating with various teams throughout the organization. A passion for technology and dedication to delivering high-quality results will further distinguish successful applicants for this opportunity at SynergisticIT.