entry level java developer/data analyst /data scientist
Job Description
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Written by AI from the job title and company, not by SynergisticIT, so some details may not match this job. The employer's own page has the real description.
Job Overview
SynergisticIT is seeking a motivated and detail-oriented Entry Level Java Developer/Data Analyst/Data Scientist to join our dynamic team. This role encompasses a blend of software development, data analysis, and scientific methodology, where the candidate will collaborate with experienced professionals to leverage data and technology solutions. The ideal candidate will support projects by developing applications in Java and analyzing data to provide insights that drive decision-making processes. This multifaceted position offers opportunities for growth and skill development in a fast-paced, technology-driven environment.
Job Responsibilities
- Assist in the development, maintenance, and enhancement of Java applications.
- Gather, process, and analyze data from various sources to derive actionable insights.
- Collaborate with senior developers and data scientists to identify project requirements and specifications.
- Utilize statistical methods and data visualization tools to present findings effectively.
- Participate in code reviews, unit testing, and documentation processes.
- Support data management activities including data cleansing and validation.
- Stay updated with the latest industry trends in programming and data analysis.
Qualifications
- Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.
- Basic understanding of Java programming language.
- Familiarity with data analysis tools and techniques.
- Knowledge of database management systems (SQL, NoSQL).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to learn new technologies quickly in a fast-paced environment.
Technologies & Tools
The Entry Level Java Developer/Data Analyst/Data Scientist will be expected to work with a variety of technologies and tools including Java, SQL databases, Python for data analysis, Apache Spark, Tableau for data visualization, and Git for version control. Familiarity with cloud platforms such as AWS or Azure may also be beneficial.
Ideal Candidates
Ideal candidates will possess a proactive attitude and a genuine passion for technology and data. They should demonstrate strong critical thinking abilities and a desire to continuously learn and improve. The candidate should have an aptitude for teamwork and collaboration, showing initiative in problem-solving and contributing to team goals. An enthusiasm for developing innovative solutions and adapting to evolving technologies will be essential for success in this role.
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