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Data Science Intern
Bosscat,
This is an old job. It may expired or is no longer available.
The employer may not accept applications or may not be hiring.
About Us:
BOSSCAT is a fast-growing, tech-driven home repair, renovation, and maintenance services platform that’s making homeownership simple, accessible, and enjoyable.
We’re built on a simple but powerful premise: to champion and empower homeowners through innovative solutions – an approach that has allowed us to grow to serve 10 markets and land on the Inc. 5000 list of America’s fastest-growing companies.
And, backed by our recent $39 million series A funding and partnership with the National Association of Realtors, we’re primed to bring these solutions to the 220+ million homeowners and aspiring owners nationwide.
If you’re highly skilled, growth-obsessed, share our values and are ready to play a key role in transforming a trillion-dollar industry, we want to talk!
The Role:
As a Data Science Intern, you will work closely with our product and data team to provide insights that drive decision-making and strategy. You will dive deep into data, using advanced programming techniques to collect, process, and analyze information from a variety of sources, including customer feedback, online behavior, market trends, and operational efficiency metrics.
This internship is an excellent opportunity to apply your coursework in a fast-paced startup environment where your contributions will not only influence strategic decisions but also help shape the culture of data-driven excellence within the company.
- Paid internship
- 20 hours per week for 3-4 months
- Potential full-time offer after evaluation
- Location: Hawaii on-site
Internship duties scope:
- Collect, process, and clean data from various sources, including customer surveys, market research, and internal processes.
- Create visualizations/reports in Tableau and present findings and recommendations to stakeholders.
- Perform data validation and document discrepancies for the engineering team.
- Support the development of AI/ML models for lead scoring, pricing strategies, and process improvement.
What you Bring to the Table:
- Currently enrolled in a Bachelor’s or Master’s degree program in a quantitative discipline (MIS, Econ, STEM, etc.) with less than one year left to graduation
- Cumulative GPA 3.0 or higher
- At least one year of experience or academic course work using Python, SQL, R, or other programming languages for data analysis
- Familiar with data visualization and dashboarding tools (Tableau, Power BI, etc.)
- Exposure to statistics and/or AI/ML models
- Excellent written and verbal communication skills
- Must live within commutable distance from Honolulu, HI and work a hybrid schedule
What we offer:
- Hands-on experience in data analytics with real databases.
- Opportunity to work on projects that have a direct impact on our business.
- Mentorship and guidance from experienced professionals in the field.
