entry level java Jenkins developer /Entry level data scientist

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Job Overview

SynergisticIT is seeking an enthusiastic and motivated Entry Level Java Jenkins Developer / Entry Level Data Scientist. In this dual role, the candidate will work collaboratively with team members to support software development processes and data analysis initiatives. The successful candidate will engage in coding, troubleshooting, and deploying applications while also harnessing data to generate meaningful insights and support decision-making processes. This position represents a unique opportunity for recent graduates or individuals beginning their professional journey to grow their skills within a dynamic technological environment.

Job Responsibilities

• Assist in the development and maintenance of Java applications leveraging Jenkins for continuous integration and deployment.
• Collaborate with senior developers to gather requirements and translate them into technical specifications.
• Perform debugging and troubleshooting of applications to resolve issues and improve performance.
• Utilize data analysis techniques to interpret and visualize data trends for various projects.
• Support the implementation of machine learning models and algorithms under the guidance of experienced data scientists.
• Participate in team meetings and contribute to the evaluation of project progress and challenges.
• Document processes and maintain clear communication with team members regarding project developments.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field, or equivalent practical experience.
• Familiarity with Java programming language and experience with Jenkins for DevOps practices.
• Basic understanding of data science concepts, including statistical analysis and machine learning.
• Knowledge of database management and SQL for data manipulation and querying.
• Strong problem-solving skills with a keen attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The candidate will work with a variety of technologies and tools, including but not limited to Java, Jenkins, SQL, Python for data analysis, as well as machine learning frameworks. Knowledge of data visualization tools and cloud platforms may also be beneficial for this role.

Ideal Candidates

The ideal candidates for this position are proactive, resourceful, and eager to learn. They should possess a strong foundational knowledge of programming and data analysis, combined with a genuine interest in technology and innovation. A collaborative spirit and the ability to adapt to changing project requirements will greatly contribute to their success in this role.