Intern, Data Scientist

Key Skills

Apache Kafka, Data Analysis Expressions- DAX, PowerBI, Python Programming, R Programming, SQL, UI design, UX design

Job Description

Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one. So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.

About the Team

Interning with the TA Business Intelligence team in summer 2024 you will have the opportunity to positively impact the culture of a leading real estate disruptor that is quickly scaling across the country. In this role you will collaborate with our experienced data scientists, gaining hands-on exposure to real data challenges. You will be using analytical techniques to derive meaningful insights as it applies to Recruiting and Human Resources and build experience in SQL, Power BI, DAX, Python and R.

Role Responsibilities:

• Assist with preprocessing, cleaning, and transforming raw data to make it suitable for analysis.
• Explore datasets to identify patterns, anomalies, and relationships.
• Contribute to and deliver on other TA initiatives and projects based on priorities.

Skills Needed:

• Enrolled in a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, or a related quantitative discipline.
• Basic understanding of machine learning algorithms and statistical methods.
• Familiarity with data science tools like Python, R, or SQL.
• Strong analytical and problem-solving skills combined with curiosity and a keen interest in deciphering data.
• Effective communication skills, both written and verbal.

Location:

Hybrid - Hybrid roles require role responsibilities to be performed in the office for a portion of the week, with an option to work remotely. Candidates must be based within a 50-mile commuting distance of the specified office location.

Compensation:

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $28 - $49 hourly. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific hourly range for the job location during the hiring process.