entry level data scientist/Data analyst /Entry level Java developer
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
At SynergisticIT, we are seeking a motivated and detail-oriented Entry Level Data Scientist/Data Analyst/Entry Level Java Developer to join our dynamic team. In this role, the successful candidate will support data analysis projects, contribute to software development initiatives, and collaborate with cross-functional teams to deliver data-driven solutions. The role offers excellent opportunities for professional growth and skill enhancement in a fast-paced, collaborative environment.
Job Responsibilities
- Collaborate with team members to gather and understand data requirements.
- Analyze structured and unstructured data to drive insightful decision-making.
- Develop and maintain data processing scripts and applications using Java.
- Generate reports and visualizations to present findings and trends to stakeholders.
- Participate in code reviews and ensure adherence to coding standards.
- Assist in troubleshooting and debugging software-related issues.
- Stay updated with industry trends and emerging technologies relevant to data science and software development.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- Familiarity with programming languages, particularly Java.
- Basic knowledge of data analysis tools and techniques, including statistical software.
- Strong analytical and problem-solving skills.
- Ability to communicate complex ideas effectively to both technical and non-technical audiences.
- Experience with databases and SQL is a plus.
- Demonstrated ability to work effectively both independently and as part of a team.
Technologies & Tools
The candidate will work with a variety of technologies and tools, including but not limited to Java, SQL, Python, R, Tableau, and various data visualization and analysis software. Familiarity with cloud computing platforms and machine learning frameworks will be beneficial.
Ideal Candidates
Ideal candidates are those who demonstrate a strong eagerness to learn and adapt in a fast-moving technological landscape. They possess a keen analytical mindset and are able to think critically about data and software development challenges. Additionally, strong time management skills and the ability to collaborate effectively in teams will contribute to their success at SynergisticIT.
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