entry level data scientist/ML AI engineer/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.
Overview
SynergisticIT is seeking an entry-level Data Scientist/ML AI Engineer/Java Developer to join our dynamic team. In this role, you will play a vital part in leveraging data analytics and machine learning technologies to drive strategic business decisions. You will collaborate with cross-functional teams to analyze data patterns, create predictive models, and develop robust applications using Java. This position is ideal for individuals who are passionate about data science and software development and are eager to grow in a fast-paced and innovative environment.
Job Responsibilities
- Develop and implement machine learning algorithms and models.
- Analyze large datasets to identify trends and patterns that will inform business decisions.
- Design and develop Java applications for data processing and analytics.
- Collaborate with data scientists and engineers to gather requirements and produce high-quality code.
- Participate in code reviews and contribute to team-based efforts to improve product development processes.
- Documentation of work processes and model functionalities for future reference.
- Assist in troubleshooting and optimizing existing applications and models.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
- Familiarity with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
- Proficiency in Java and experience with backend frameworks.
- Strong understanding of statistics and data analysis techniques.
- Basic knowledge of SQL databases and data manipulation.
- Excellent analytical skills and attention to detail.
- Ability to work collaboratively in a team-oriented environment.
Technologies & Tools
In this position, you will utilize various technologies and tools, including Java for application development, SQL for database management, and frameworks such as TensorFlow or Scikit-Learn for machine learning model implementation. Additionally, experience with data visualization tools like Tableau or Matplotlib will enhance your workflow in analyzing and presenting data insights.
Ideal Candidates
The ideal candidates for this entry-level role will demonstrate a strong passion for technology and data science, coupled with a proactive approach to learning and problem-solving. They should exhibit strong communication skills and the ability to work effectively in a collaborative environment. A keen interest in exploring new technologies and an eagerness to contribute to innovative projects will set candidates apart in this exciting opportunity with SynergisticIT.
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