entry level data scientist/Entry level Java developer

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Job Overview

As an Entry Level Data Scientist/Java Developer at SynergisticIT, you will play a pivotal role in analyzing complex data sets and developing software solutions to enhance business operations. This dual-focused position allows for hands-on experience in data analysis, programming, and application development. You will collaborate with cross-functional teams to gather business requirements, design algorithms, and implement applications that drive data-driven decisions and innovations within our organization.

Job Responsibilities

• Analyze and interpret complex data sets related to business operations and provide actionable insights.
• Develop and maintain software applications using Java to fulfill business requirements.
• Collaborate with team members to define data needs and design efficient data workflows.
• Create data visualization tools and dashboards to present findings to stakeholders.
• Participate in code reviews and contribute to the team’s adherence to best practices in programming.
• Assist in testing and debugging applications to ensure optimal performance.
• Document processes, code, and technical specifications for future reference and training purposes.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Proficiency in programming languages such as Java and familiarity with data manipulation tools.
• Basic understanding of statistical methods and data analytics principles.
• Exposure to databases and query languages such as SQL.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to articulate findings effectively.
• A collaborative mindset and eagerness to learn new technologies and methodologies.

Technologies & Tools

In this role, you will work with a variety of technologies and tools including Java, SQL for database management, Python for data analysis, and data visualization tools such as Tableau or Power BI. Familiarity with cloud platforms such as AWS or Azure may also be beneficial, as these technologies are integral to our data storage and processing needs.

Ideal Candidates

The ideal candidate will be a proactive learner with a strong foundational knowledge in data science and software development principles. They should possess a passion for technology and an innate curiosity to explore innovative solutions to complex problems. A strong candidate will also exhibit a collaborative spirit, effectively work within teams, and navigate challenges with confidence. Adaptability and commitment to continuous improvement will distinguish those who excel in this dynamic environment.