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Open nowPosted 4 days ago

Data Science Intern - Summer 2027

Resideo66 open roles

Where
Austin, TX, United States, Golden Valley, MN, United States
Work mode
Hybrid
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Your applicationOpen nowData Science Intern - Summer 2027Resideo · Austin, TX, United States, Golden Valley, MN, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Resideo's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Resideo postings stay open a median of 14 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 4 days ago

Resideo median: 14 days open

The posting

Job Description

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.

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