entry level Java developer/Data scientist Engineer-remote

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Overview

SynergisticIT is seeking an enthusiastic Entry-Level Java Developer/Data Scientist to join our dynamic team on a remote basis. In this role, you will leverage your programming skills and analytical mindset to develop software applications, analyze data, and contribute to projects that drive business solutions. You will collaborate with senior developers and data scientists to gather requirements, create analytical models, and enhance our software products. This position serves as an excellent opportunity to gain hands-on experience in a supportive and innovative environment where professional growth is encouraged.

Job Responsibilities

• Develop and maintain Java-based applications according to project specifications.
• Assist in data collection, cleaning, and preprocessing to support data analysis tasks.
• Collaborate with team members to design and implement algorithms to process data.
• Support the development of machine learning models and analytical tools.
• Participate in code reviews and contribute to best practices in development.
• Document software functionality and data processes for future reference.
• Test and debug applications to ensure optimal performance and reliability.
• Stay updated with industry trends and emerging technologies relevant to software development and data science.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Basic knowledge of Java programming language and software development principles.
• Familiarity with data analysis techniques and experience with data manipulation tools.
• Understanding of machine learning concepts is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Willingness to learn and adapt to new technologies.

Technologies & Tools

In this role, you will utilize a range of technologies and tools that facilitate software development and data analysis. Key technologies include Java, SQL, Python, and various data visualization tools. You will also work with integrated development environments (IDEs) such as Eclipse or IntelliJ IDEA, along with version control systems like Git. Familiarity with data processing libraries and frameworks, such as Pandas and NumPy, will also be beneficial.

Ideal Candidates

The ideal candidates for this position are those who exhibit a passion for technology and data science, possess a strong eagerness to learn, and thrive in a team-oriented environment. They should have a proactive attitude towards problem-solving, enabling them to navigate challenges effectively. Additionally, a commitment to personal and professional growth, coupled with an open-mindedness to feedback and new ideas, will greatly contribute to their success and integration with our company culture.