Data Science Intern

Graco manufactures and markets premium equipment to move, measure, control, dispense and spray a wide variety of fluid and powder materials. What does that mean? Well, we pump peanut butter into your jar, and the oil in your car. We glue the soles of your shoes, the glass in your windows and the screen on your phone. We spray the finish on your vehicle, coatings on your pills, the paint on your house and texture on your walls. Graco is part of your daily life.

The Graco Intern Program offers more than just work experience—it's a chance to make an impact. As an intern, you'll take on projects that matter to the business, contribute to initiatives that drive progress, and develop skills that prepare you for what's ahead. Throughout the program, you'll expand your industry knowledge, collaborate with professionals who are passionate about doing things the right way, and experience a culture that thrives on new ideas and continual growth. You'll also take part in events designed to support both your learning and personal development. The program concludes with a final presentation where you'll showcase your achievements and the difference you've made.

The Data Science Intern will work with large datasets from our production operations, supply chain, and product performance, contributing to data-driven decisions that enhance operational efficiency, product quality, and customer satisfaction. As a member of the Data Analytics team, the individual in this position will gain valuable exposure to statistical modeling, machine learning, and advanced analytics, while collaborating with experienced data analysts, engineers, and manufacturing professionals.

What You Will Do At Graco

• Collect, clean, and preprocess structured and unstructured data from sources such as manufacturing equipment, IoT sensors, and supply chain systems to enable actionable insights.
• Perform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for optimizing the movement and handling of critical materials in Graco's systems.
• Assist in developing and implementing machine learning models for use cases such as predictive maintenance, process optimization, demand forecasting, and quality assurance in material movement.
• Create insightful data visualizations and dashboards to effectively communicate findings to cross-functional teams, including engineering, operations, and leadership.
• Collaborate with senior team members to analyze data related to Graco's innovative material handling systems and contribute fresh ideas for solving manufacturing and operational challenges.
• Document methodologies, workflows, and results to ensure reproducibility and scalability across Graco's global operations.
• Participate in team meetings, present findings, and contribute to discussions around improving manufacturing processes and enhancing business outcomes.

What You Will Bring To Graco

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Strong programming skills in Python or R; familiarity with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch is a plus.
• Experience with SQL and working with relational databases.
• Understanding of statistical methods, machine learning concepts, and data visualization techniques.
• Strong problem-solving, analytical thinking, teamwork and communication skills.
• Ability to work both independently and collaboratively in a fast-paced manufacturing environment.

Accelerators

• Experience with data visualization tools (e.g., Tableau, Power BI) to create insights for engineering, manufacturing, and operational teams.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or manufacturing-specific platforms like MES (Manufacturing Execution Systems).
• Familiarity with data and analytics cloud platforms (e.g., Snowflake, AWS)
• Familiarity with Gen AI capabilities.
• Knowledge of IoT frameworks and working with time-series data from sensors embedded in Graco's material movement systems.
• Previous internship or academic project experience working with data in a manufacturing or industrial setting.
• Interest or experience in material handling, industrial machinery, or manufacturing processes relevant to Graco's mission of moving materials that matter.

What You'll Gain

• Hands-on experience with large-scale data analysis and machine learning projects tailored to Graco's advanced manufacturing processes and material handling innovations.
• Opportunities to contribute to impactful projects that enhance operational efficiency, reduce equipment downtime, and improve product quality.
• Exposure to cutting-edge technologies, including IoT data, predictive maintenance, and process automation, in a global manufacturing environment.
• A collaborative and supportive environment to grow your technical and professional skills while contributing to Graco's mission of moving materials that matter.

At Graco, you truly make a difference. Your unique talents contribute to our organizational growth and future. Not only do you make a difference, but Graco's culture empowers employees to create their own career path. Whether you choose to advance within your current department or explore new opportunities in different divisions, you have the ability to build your future. Our managers are here to provide support and guidance as you continue to grow within your career.

Graco has excellent opportunities available to individuals who want to be part of a fast-moving, growing company that is committed to quality, innovation and solving fluid handling problems for our customers. Graco is proud to be named a Best Place to Work by Fortune Magazine in 2016, 2018, 2019, 2021 & 2022. Graco offers attractive compensation, benefits and career development opportunities. Graco's comprehensive benefits include medical, dental, stock purchase plan, 401(k), tuition reimbursement and more.

Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit

The base pay range for this position is listed below, exclusive of fringe benefits or other compensation. If you are hired, your final base hourly rate will be determined based on factors such as geographic location, skills, competencies, education, and/or experience. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth.

$ $28.00