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Data Science Intern - Summer 2027

Resideo

Austin, TX · HybridInternshipSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Austin, TXHybrid
Role Type
Internship
Schedule
Internship
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data Science Intern will work with data scientists, engineers, and business stakeholders on business and product challenges. The intern will explore data, develop analytical solutions, and communicate insights, using Python, SQL, and Databricks. With team guidance, the intern will complete a scoped project and present findings and recommendations.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLStatisticsData AnalysisMachine LearningData CleaningData ExplorationData VisualizationDatabricksApache SparkCloud Data PlatformsPandasNumPyScikit-LearnMatplotlibGitCommunicationCollaborationAttention to Data QualityProblem Decomposition

Qualifications

Active Student StatusData Science or Related Quantitative Degree

Full 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

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.

At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster, "EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice. If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

How this job compares

Set against the 2,034 open Data Science jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This postingNot listed
  • Texas median$124–234K/yr62 salary ranges
  • US median$35–49/hr132 hourly ranges
Openings
Olive Jobs lists 96 open Data Science jobs in Texas and 2,034 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (1,661 postings).
Education
906 of the 2,034 open Data Science jobs (45%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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