Summer 2027: Data Science Intern (May to August)

Work Period: May through August

Location & Schedule: This is a full-time, 40-hour-per-week position with a minimum of 3 days per week onsite in Needham, MA. with the remaining days worked remotely. There is no relocation or housing assistance for this position.

Join the SharkNinja Early Edge Experience: Built for early talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You’ll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you’ll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what’s next — fast.

This Role: Data Science Internship

Do you love solving problems with data? Are you excited by the opportunity to use machine learning, statistics, and experimentation to shape smarter products and better business decisions? If so, the Data Science Internship at SharkNinja is for you.

As part of our data science team, you’ll gain hands-on experience applying statistical modeling, machine learning, and data storytelling to real-world problems. You’ll work closely with data engineers, analysts, and product stakeholders to turn data into actionable insights that drive product innovation and customer impact.

Key Responsibilities

During your time at SharkNinja, you’ll contribute to:

• Model Development & Prototyping

Build and test machine learning models on real product and business datasets.

• Data Wrangling

Clean, explore, and transform data using Python, SQL, and common data science libraries.

• Visualization & Storytelling

Create dashboards and visualizations that make insights clear to technical and non-technical stakeholders.

• Collaboration

Partner with engineers, analysts, and business teams to define data science opportunities and translate results into impact.

• Learning Modern Tools

Gain exposure to AI ML tools and platforms

Attributes & Skills

• Education: Currently enrolled in a bachelor’s or master’s program in Data Science, Computer Science, Statistics, Applied Math, or a related field.

• Must be able to work a full-time, 40-hour-per-week schedule with a minimum of # DAYS per week onsite in TOWN, STATE.

• Proficiency in Python and working knowledge of SQL.

• Exposure to data science libraries

• Strong foundation in statistics, probability, and data analysis.

• Intellectual curiosity with a problem-solving mindset and attention to detail.
• Ability to explain analytical results clearly and collaborate with diverse stakeholders.
• Experience with data visualization tools (Power BI, Tableau, or matplotlib/seaborn/Plotly) is a plus.
• Familiarity with cloud data platforms or big data tools is desirable.

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience!