Entry level Data scientist with sql/pytorch/entry level Java developer /

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Job Overview

SynergisticIT is seeking a motivated and enthusiastic Entry Level Data Scientist with a foundational understanding of SQL, PyTorch, and Java development. The successful candidate will assist in analyzing and interpreting complex data sets, contributing to the development of machine learning models, and supporting data-driven decision-making processes. Additionally, this role offers an excellent opportunity for skill development in a collaborative environment while engaging in innovative projects that enhance both personal and professional growth.

Job Responsibilities

• Assist in the collection, cleaning, and organization of large data sets for analysis.
• Utilize SQL to extract and manipulate data from relational databases.
• Participate in the development and deployment of machine learning models using PyTorch.
• Support the design and implementation of algorithms to improve data processing workflows.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Conduct exploratory data analysis to identify patterns and trends.
• Document processes and findings to maintain comprehensive records of the work performed.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
• Basic understanding of SQL and experience in writing queries for data manipulation.
• Familiarity with PyTorch and its application in machine learning tasks.
• Entry-level knowledge of Java programming concepts is desirable.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively in a team-oriented environment.
• Excellent communication skills, both written and verbal.

Technologies & Tools

In this position, the candidate will work with a variety of technologies and tools that facilitate data analysis and machine learning. These include SQL for database management, PyTorch for implementing deep learning models, and integrated development environments (IDEs) such as Eclipse or IntelliJ for Java development. Familiarity with data visualization tools such as Tableau or Power BI may also be beneficial.

Ideal Candidates

The ideal candidates for this position are proactive learners who possess a genuine interest in data science and machine learning. They should have strong analytical capabilities combined with a creative approach to problem-solving. Effective communication skills, a collaborative spirit, and a commitment to continuous improvement will ensure their success in this role. Additionally, candidates should demonstrate resilience and adaptability in a dynamic work environment, encouraging innovation and knowledge-sharing.