entry level data scientist/ AI engineer/Java developer

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Job Overview

The entry-level Data Scientist/AI Engineer/Java Developer at SynergisticIT will play a crucial role in contributing to various projects focused on data analysis, machine learning, and software development. The candidate will work closely with senior team members to analyze data sets, develop algorithms, and support application development in Java. This position offers a unique opportunity to gain hands-on experience in a dynamic and fast-paced environment, fostering both personal and professional growth.

Job Responsibilities

• Assist in data collection, preprocessing, and analysis of large data sets to support business decisions.
• Contribute to the design, implementation, and optimization of machine learning models and algorithms.
• Develop and maintain scalable Java applications to enhance functionality and user experience.
• Collaborate with cross-functional teams to gather requirements and ensure successful project execution.
• Perform software testing and debugging to ensure code quality and reliability.
• Document processes and results to facilitate knowledge sharing within the team.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Fundamental knowledge of programming languages, particularly Java.
• Basic understanding of data analysis and machine learning concepts.
• Familiarity with data visualization tools and libraries.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Technologies & Tools

The ideal candidate will have exposure to a variety of technologies and tools, including but not limited to Java programming, Python for data analysis, machine learning frameworks such as TensorFlow and Scikit-learn, SQL for database management, and tools for data visualization like Tableau or Matplotlib. Familiarity with version control systems like Git may also be beneficial.

Ideal Candidates

The ideal candidates for this position will possess a passion for data and technology, a willingness to learn, and a proactive approach to problem-solving. They will thrive in collaborative environments, demonstrating strong interpersonal skills to effectively communicate ideas and results. A commitment to continuous improvement and a strong desire to develop technical skills further enhance their suitability for the role.