Data Science Intern - Summer 2027

Posted 4 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
Internship
Internet of Things • Software • Manufacturing
At Resideo, we create technology and smart solutions that integrate with our customers' lives.
The Role
Data Science Intern will analyze and prepare datasets, write Python and SQL in Databricks, build visualizations and dashboards, support predictive modeling, automate reports, and communicate actionable insights. The intern will collaborate with data scientists, engineers, and business stakeholders, document analytical work using Git workflows, and complete and present a scoped capstone project. Required foundations include Python, SQL, statistics, data analysis, and machine learning, with opportunities to develop practical experience using cloud data tools and data science libraries.
Summary Generated by Built In

Are you interested in applying data science to real business and product challenges? As a Data Science Intern at Resideo, you will work alongside data scientists, engineers, and business stakeholders to explore data, develop analytical solutions, and communicate actionable insights. You will gain hands-on experience with Python, SQL, and Databricks while supporting data preparation, visualization, and predictive modeling. With guidance from the team, you will complete a scoped project and present your findings and recommendations. Help create innovative technologies that make the world cleaner and more sustainable, more secure, connected, energy efficient, and productive.

JOB DUTIES:
•    Explore and analyze data to identify trends, patterns, and opportunities for business or product improvement. 
•    Clean and prepare datasets, addressing missing values, inconsistencies, and data quality issues. 
•    Write SQL queries and Python scripts in Databricks to extract, transform, and analyze data from multiple sources. 
•    Develop Databricks notebooks, dashboards and visualizations to communicate key findings and track performance metrics. 
•    Support predictive modeling, including feature development, model training, and performance evaluation. 
•    Analyze product usage and performance to understand customer behavior and identify opportunities for improvement. 
•    Automate recurring analyses and reports to reduce manual effort and improve consistency. 
•    Collaborate with data scientists, engineers, and business stakeholders to translate business questions into analytical tasks. 
•    Document datasets, methods, code, and findings using team standards and Git workflows. 
•    Complete and present a scoped capstone project, explaining the approach, results, limitations, and recommended next steps.

YOU MUST HAVE:
•    Active student status pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
•    Foundational experience with Python and SQL through coursework, academic projects, or internships.
•    Basic understanding of statistics, data analysis, and machine learning concepts.

WE VALUE:
•    Ability to communicate findings clearly, collaborate with others, and explain analytical work to technical and nontechnical audiences.
•    Experience cleaning, exploring, and visualizing data through coursework, research, or personal projects.
•    Familiarity with Databricks, Apache Spark, or cloud data platforms, and an interest in learning these tools.
•    Exposure to Python libraries such as pandas, NumPy, scikit-learn, or Matplotlib, and to Git for version control.
•    Curiosity, attention to data quality, and the ability to break practical problems into manageable analytical tasks.
•    Willingness to learn from feedback, document work, and collaborate with data scientists, engineers, and business stakeholders.
WHAT'S IN IT FOR YOU:
•    Hands-on experience: Apply Python, SQL, and Databricks to real business and product data.
•    Mentorship and collaboration: Learn from experienced data scientists and engineers while contributing to meaningful projects.
•    Professional development: Build data science skills and present a capstone project with clear results, limitations, and recommendations.

#LI-Hybrid

#LI-YC2
 

About Us

Resideo is a global leader in smart home and building solutions, with trusted brands including Honeywell Home, First Alert, and Resideo helping people feel more comfortable, secure, connected, and in control every day. Our products and technologies are found in more than 150 million homes and businesses worldwide. From intelligent climate solutions to security, sensing, water, and connected home technologies, Resideo develops and manufactures products designed to simplify everyday life and help protect what matters most. Our global teams span engineering, manufacturing, software, product management, supply chain, customer experience, and more — all working together to shape the future of connected living through innovation, quality, and meaningful real-world impact. At Resideo, our teams help create products and experiences that make everyday life more comfortable, secure, and connected for millions around the world. Learn more at www.resideo.com.

You can find out more about how the talent community works here: Resideo Talent Community Terms. Our recruitment privacy notice  Resideo -Recruitment Privacy Notice - Dec 16 2022 describes in more detail how we process your personal data and how you can exercise your personal data rights.

If a disability prevents you from applying for a job through our website, request assistance here.

Skills Required

  • Active student status pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • Foundational experience with Python through coursework, academic projects, or internships
  • Foundational experience with SQL through coursework, academic projects, or internships
  • Basic understanding of statistics, data analysis, and machine learning concepts
  • Ability to communicate findings clearly to technical and nontechnical audiences
  • Ability to collaborate with data scientists, engineers, and business stakeholders
  • Experience cleaning, exploring, and visualizing data through coursework, research, or personal projects
  • Familiarity with Databricks, Apache Spark, or cloud data platforms
  • Exposure to pandas, NumPy, scikit-learn, or Matplotlib
  • Exposure to Git for version control
  • Curiosity, attention to data quality, and ability to break practical problems into manageable analytical tasks
  • Willingness to learn from feedback, document work, and collaborate

Resideo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Resideo and has not been reviewed or approved by Resideo.

  • Retirement Support — Feedback suggests the retirement program features a standout employer match and access to an employee stock purchase plan. These elements add meaningful long-term value to total rewards.
  • Leave & Time Off Breadth — Feedback suggests time off is generous in some salaried roles, with flexible or unlimited PTO alongside company holidays and parental leave. Actual usage appears to depend on team norms and manager support.
  • Healthcare Strength — Feedback suggests medical, dental, and vision coverage are comprehensive, complemented by wellness resources and health savings options in some plans. This establishes a solid baseline of health support across many roles.

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The Company
HQ: Scottsdale, AZ
14,000 Employees
Year Founded: 2018

What We Do

Resideo is a global leader in ensuring homeowners are safe, productive and comfortable in their homes. The company became an independent, publicly traded company in late 2018 as a result of Honeywell spinning off its Homes product portfolio and ADI Global Distribution businesses. Resideo’s mission is to provide its customers with integrated, simple solutions for today’s connected home.

Why Work With Us

Resideo puts people in charge of their home comfort, safety, security, and energy efficiency. We are also a top global distributor of security, fire, and low-voltage products. We work as a team of teams, where we all understand and work towards a common goal to solve challenges, serve our customers, and support the communities where we live.

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