entry level data scientist/analyst /Entry level Java developer

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Job Overview

At SynergisticIT, the Entry Level Data Scientist/Analyst and Entry Level Java Developer will be integral members of our innovative team, focusing on data analysis and software development. The successful candidates will engage in the collection, analysis, and interpretation of data, contributing to the optimization of project outcomes. Additionally, involvement in Java software development projects will allow these professionals to apply programming skills to solve real-world challenges, collaborate with cross-functional teams, and gain invaluable technical and analytical experience.

Job Responsibilities

• Perform data collection, analysis, and visualization to support decision-making processes.
• Develop and implement algorithms and statistical models to enhance data processing efficiency.
• Assist in writing, testing, and maintaining high-quality Java code for various applications.
• Collaborate with data scientists and software engineers to integrate solutions into traditional systems.
• Participate in code reviews and provide constructive feedback to peers for continuous improvement.
• Document data analyses and software development procedures to ensure clarity and transparency.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• Familiarity with data analysis techniques and programming languages (e.g., Python, R, SQL).
• Basic knowledge of Java programming and related frameworks.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Effective communication skills, both verbal and written, for technical documentation and team collaboration.
• Ability to work independently as well as part of a team in a fast-paced environment.

Technologies & Tools

The Entry Level Data Scientist/Analyst and Entry Level Java Developer will utilize a range of technologies and tools including programming languages such as Python and Java, as well as data analysis software like R and SQL. Additional tools include data visualization software (e.g., Tableau), integrated development environments (IDEs), and cloud services for data storage and processing to enhance development and analytic capabilities.

Ideal Candidates

The ideal candidates for these positions will possess a strong desire to learn and grow within the fields of data science and software development. They will demonstrate a proactive approach to problem-solving and exhibit flexibility in adapting to new technologies and methodologies. Candidates should also show a commitment to teamwork, possess a positive attitude, and leverage their critical-thinking skills to contribute meaningfully to project goals at SynergisticIT.