New Grad Data Science, AI & ML Jobs
Tracked at 10k top companies
If you're looking to break into data science, this list was built for you. With roles perfect for recent graduates with degrees in computer science, math, or stats, these entry-level data science jobs offer a real opportunity to build and deploy models, not just clean spreadsheets. We’ve curated roles for aspiring data scientists ready to apply theory in real-world settings.
You’ll find roles like Junior Data Scientist, Machine Learning Engineer I, Research Assistant, and Applied Scientist. These jobs require skills in Python, SQL, statistics, and popular libraries like Pandas, NumPy, Scikit-learn, and Jupyter. Some are pure research; others focus on building pipelines or deploying predictive models in production. Most roles are open to candidates with 0–2 years of experience and are tagged with required degrees (BS, MS, or bootcamp-friendly), visa eligibility, and remote flexibility.
There are opportunities available from startups, labs, and enterprise data teams across various industries, including healthcare, fintech, e-commerce, and AI/ML infrastructure, which are ideal for new graduates entering the workforce in 2024 or 2025. Each listing is enriched with job scope, tech stack, mentorship potential, and expected deliverables. This list helps you find roles where you won’t be stuck writing reports; you’ll be building the future with data.
Explore our FAQ section to learn more.
If you've got foundational skills in Python or R, a solid grasp of statistics, and some project experience (even if it's just from school), you're ready. Employers know you’re new, so focus on highlighting your eagerness to learn and any real-world projects you’ve done. Use Simplify's job tracker to keep tabs on roles you're eyeing.
Yes. Degrees are great, but skills and experience matter more. Showcase any relevant coursework, certifications, or projects in data science, AI, or ML. Use Simplify to autofill applications and keep your focus on roles that match your skills.
Confidence isn't built overnight. Apply anyway. Interviews can be learning experiences. Meanwhile, brush up on coding via online resources or bootcamps. Simplify can help you find roles that require varying levels of coding expertise.
Absolutely. Big tech often values potential and learning agility over experience for entry-level roles. Leverage Simplify to gain insights into what these companies look for, and tailor your applications to meet those criteria.
Detail any unique projects, internships, or research you've done. Highlight your problem-solving skills and any contributions to open-source projects. Simplify’s autofill feature ensures your applications are consistent and polished, letting you focus on content.
Startups can offer rapid growth and varied responsibilities, while established companies provide structured learning paths. Decide based on your career goals and risk tolerance. Simplify can help you track opportunities in both environments to make an informed choice.
Aim for quality over quantity. Focus on roles where your skills align well and you’re genuinely interested. Use Simplify's job tracker to manage and prioritize your applications efficiently.
