entry level data scientist/ML AI engineer/Java developer

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Job Overview

SynergisticIT is seeking a motivated and detail-oriented Entry-Level Data Scientist/ML AI Engineer/Java Developer to join our dynamic team. In this role, you will work alongside experienced professionals, contributing to various projects that utilize data analysis, machine learning, and Java development to solve real-world problems. You will gain invaluable hands-on experience and apply your skills in a collaborative environment, focusing on both theoretical and practical aspects of data science and software development.

Job Responsibilities

• Assist in developing and implementing machine learning models and algorithms.
• Prepare and preprocess data to ensure accuracy and relevance for analysis.
• Collaborate with senior engineers to develop software applications using Java.
• Support the deployment and maintenance of machine learning solutions.
• Conduct exploratory data analysis and present findings in a clear manner.
• Participate in code reviews to maintain code quality and optimize performance.
• Document processes and ensure compliance with company standards.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Familiarity with programming languages such as Python, Java, or R.
• Basic experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).
• Understanding of data manipulation using SQL or similar technologies.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively.

Technologies & Tools

You will be working with a variety of technologies and tools, including but not limited to Python, Java, SQL, TensorFlow, scikit-learn, Git, Jupyter Notebooks, and various cloud computing platforms. Familiarity with these tools will be advantageous in performing your job effectively and efficiently.

Ideal Candidates

The ideal candidate for this position possesses a strong eagerness to learn and adapt in a fast-paced environment. They should have a genuine passion for technology and data, along with the ability to think critically and creatively. A collaborative spirit and a proactive approach to problem-solving are essential, as well as the drive to continually expand their skillset and contribute to the team’s success.