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

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Job Overview

SynergisticIT is seeking an Entry Level Data Scientist with a foundational knowledge of SQL, PyTorch, and entry-level Java development to join our growing team. In this dynamic role, you will assist in analyzing large datasets, developing predictive models, and collaborating with cross-functional teams to provide data-driven solutions. This position offers an exciting opportunity to leverage your technical skills while gaining practical exposure to real-world projects in a supportive environment.

Job Responsibilities

• Collaborate with data engineering and analytics teams to obtain and clean data.
• Utilize SQL to extract, manipulate, and analyze large datasets to identify trends and insights.
• Assist in developing machine learning models using PyTorch to solve business problems.
• Contribute to the design and implementation of software solutions using entry-level Java.
• Generate visualizations and reports to communicate findings to stakeholders and support decision-making.
• Participate in team meetings to discuss project updates and share best practices.
• Conduct research on emerging technologies and methodologies in the data science field.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Basic understanding of SQL and experience with database management.
• Familiarity with machine learning frameworks, preferably PyTorch.
• Entry-level knowledge of Java programming for software development tasks.
• Strong analytical and problem-solving skills.
• Effective communication skills and ability to work collaboratively in a team environment.
• Proven ability to manage time effectively and prioritize tasks.

Technologies & Tools

The ideal candidate will work with a variety of technologies and tools, including SQL for database management and data querying, PyTorch for building and training machine learning models, and Java for software development tasks. Familiarity with version control systems, such as Git, and data visualization tools, such as Tableau, will also be advantageous.

Ideal Candidates

The ideal candidates for this position are those who have a passion for data science and a thirst for knowledge. They should possess a strong willingness to learn, adapt to new challenges, and collaborate effectively with team members. Candidates should be detail-oriented, analytical thinkers who are excited about utilizing data to drive business outcomes and enhance their technical competencies in a professional environment.