entry level Java software developer spring/Entry level data scientist

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Overview

SynergisticIT is seeking an Entry-Level Java Software Developer with a strong interest in Spring technologies or an Entry-Level Data Scientist. This role is critical in enhancing our software development projects and data-driven initiatives. The selected candidate will collaborate with cross-functional teams to develop robust applications, analyze data trends, and contribute to business intelligence, ensuring high-quality outputs that align with the company's objectives and client needs.

Job Responsibilities

• Collaborate with senior developers and data scientists to design, develop, and maintain software applications using Java and Spring frameworks.
• Assist in gathering requirements and translating them into technical specifications.
• Participate in coding, testing, and debugging processes under mentorship.
• Analyze data and implement algorithms to provide insights, support decision making, and enhance product features.
• Contribute to the documentation of software designs and data processes.
• Engage in code reviews to maintain quality and adherence to best practices.
• Stay updated on industry trends and best practices in software development and data science.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Familiarity with Java programming and the Spring framework.
• Basic understanding of data science concepts, including statistics and data analysis.
• Ability to write clean, maintainable, and efficient code.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Prior internships or academic projects related to software development or data analysis are a plus.

Technologies & Tools

The Entry-Level Java Software Developer and Data Scientist role will primarily involve working with Java, Spring Boot, SQL databases, and various data analysis tools. Familiarity with version control systems such as Git, integrated development environments (IDEs) like IntelliJ or Eclipse, and data manipulation libraries (e.g., Pandas, NumPy) will also be advantageous. Exposure to cloud technologies and data visualization tools is beneficial.

Ideal Candidates

The ideal candidates for this position should possess a genuine passion for technology and data, along with a strong desire to continuously learn and grow in their field. They should demonstrate a proactive attitude, strong attention to detail, and the ability to work effectively both independently and as part of a team. Exceptional problem-solving capabilities, along with an eagerness to share knowledge and assist colleagues, will make a candidate stand out in this dynamic role.