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

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Job Overview

As an Entry Level Data Scientist at SynergisticIT, you will be engaged in various data-driven projects that require analytical and programming skills. Your primary responsibilities will include data collection, data analysis, and reporting. You will work collaboratively with cross-functional teams to develop predictive models, utilizing SQL and PyTorch, alongside basic Java development tasks. The ideal candidate will have a strong desire to learn and grow within the field, embracing challenges and innovating solutions to complex problems.

Job Responsibilities

• Collect, clean, and preprocess data from various sources for analysis.
• Utilize SQL for querying large datasets and analyze trends and patterns.
• Develop and implement machine learning models using PyTorch.
• Assist in developing data visualizations and dashboards for reporting purposes.
• Collaborate with software developers to integrate data science applications with existing systems.
• Support testing and debugging processes for Java-related tasks.
• Participate in team meetings and contribute ideas to data-related projects.

Qualifications

• A Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• Familiarity with SQL and experience querying relational databases.
• Basic understanding of Python, with a focus on libraries such as PyTorch.
• Entry-level knowledge of Java programming concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Motivation to learn new technologies and methodologies in data science.

Technologies & Tools

This position requires proficiency in SQL for database management, as well as experience with PyTorch for machine learning applications. You will also be expected to engage with Java for basic development tasks. Familiarity with data visualization tools and platforms such as Tableau or Power BI will be advantageous. Additionally, usage of version control systems such as Git will be beneficial for collaborative projects.

Ideal Candidates

The ideal candidate for this entry-level position will possess a proactive attitude towards learning and professional development. They demonstrate a genuine interest in data science and programming, along with the ability to work effectively both independently and within a team. An analytical thinker with strong attention to detail and a commitment to achieving high-quality results will thrive in our dynamic environment at SynergisticIT.