Data Science Intern

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.