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

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Job Overview

SynergisticIT is seeking a motivated and enthusiastic entry-level Java Programmer, Data Scientist, or Data Analyst to join our dynamic team. This remote role will involve working with various data integration tasks, developing Java applications, analyzing data sets, and assisting in the creation of actionable insights for our clients. The ideal candidate will embark on a journey of professional development in a collaborative environment, leveraging modern technologies to solve real-world problems.

Job Responsibilities

• Develop, test, and maintain Java applications to ensure high performance and responsiveness to requests from the front-end.
• Gather, process, and analyze large sets of structured and unstructured data to derive insights that guide business strategies.
• Assist in the preparation of data sets for processing and reporting to facilitate client requirements.
• Collaborate with team members to design and implement analytical models using statistical techniques.
• Document processes and code to maintain a clear understanding of application functionalities and data flows.
• Participate in code reviews and contribute to the development of best practices in software engineering and data analysis.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• Basic proficiency in Java programming and familiarity with Object-Oriented Programming (OOP) concepts.
• Understanding of data analysis techniques and statistical methods.
• Familiarity with data visualization tools (such as Tableau or Power BI) is a plus.
• Strong analytical skills and attention to detail.
• Excellent communication skills and ability to work collaboratively in a remote environment.
• Knowledge of SQL and experience with relational databases preferred but not required.

Technologies & Tools

The candidate will have the opportunity to work with a range of technologies and tools including, but not limited to, Java, Python, SQL, data visualization tools (like Tableau or Power BI), Jupyter Notebooks, and cloud platforms like AWS or Azure for data storage and processing. Familiarity with version control systems, especially Git, is also preferred to ensure seamless collaboration with the team.

Ideal Candidates

The ideal candidate for this position is someone who is not only technically proficient but also possesses strong problem-solving skills and a proactive attitude towards learning. A good fit will be highly motivated, detail-oriented, and eager to contribute to team projects while developing their expertise in both programming and data analysis. Strong interpersonal skills and the ability to adapt to new challenges in a fast-paced environment are essential qualities that will help the candidate thrive in this role.