What to Expect: Job Overview

This full-time Entry Level Data Scientist role offers a competitive salary starting at $100K with a strong average of $111K and the potential to earn up to $122K per year.

Expect to work in a collaborative environment where you will research, prototype, and deploy AI solutions that boost business operations.

The position includes benefits such as medical, dental, vision insurance, paid time off, and a 401(k), all contributing to a well-rounded total package.

Candidates must be authorized to work in the US, and the hiring company values technical creativity and hands-on experimentation.

Strong technical basics and curiosity about AI applications are top priorities for those looking to make an impact early in their careers.

Roles and Daily Activities

You’ll build and test automations, integrate AI tools like LLMs with API capability, and research new AI advancements and implement them internally.

Responsibilities include analyzing business questions, developing workflows, designing solutions, and working directly with company leadership.

The team-based setting ensures frequent problem-solving collaborations and practical software deployments across departments.

Providing user training and documenting new processes form a key part of the transition to advanced AI-driven operations.

You’ll continuously learn by tackling various technical tasks including API setup, cloud integration, and workflow automation.

Top Advantages

First, this job provides a robust starting salary with annual bonus and top-tier benefits, competing well in the industry.

Second, the opportunity for hands-on experience with real AI projects and workflow automations can sharply develop your skillset from the start.

Potential Drawbacks

As an entry-level position, you may face a steep learning curve, especially if your experience with Azure, API, or LLMs is limited.

There’s a strong focus on internal collaboration, which may not suit those who prefer solo tasks or remote arrangements.

Final Verdict

If you’re eager to combine technical know-how with business improvement—and are ready for a full-time, on-premises challenge—this role is a smart springboard. Hands-on with AI, strong pay, and real-world learning are just part of the appeal. For motivated tech graduates or career changers in data science, the rewards easily outweigh the challenges.