Employment Information
About the Internship
Join Uber’s Team in Krakow and be a part of our journey to establish a cutting-edge Technology Hub. As a Data Science Intern , you’ll participate in designing new data-driven solutions..
You will work on projects of varying sizes and time-horizons with the support of other Data Scientists, utilizing statistical modeling, causal inference methods and machine learning techniques.
This internship offers an excellent opportunity to enhance your analytical skills, sharpen your coding abilities, and work on impactful projects of varying areas such as: marketplace, compliance, fraud or expansion. Furthermore, it may serve as a stepping stone to exciting future opportunities within Uber.
About the Team
Located in Krakow, our team centralizes work for Uber Rides & Uber Eats, covering mega-regions like the United States & Canada, as well as Europe, Middle East, and Africa. Our mission statement is: backing creativity with operational efficiency.
We help Uber scale and gain efficiency by performing work around 3 main pillars:
- Data Science (modeling, causal inference, experimentation, machine learning)
- Analytics & Automation (query, deepdive, self-operating dash., process automation)
- Business Processes (design, execution, enhancement, optimization)
What You’ll Do
- Support Data Scientists, Data Analysts and Automation Specialists in building, evaluating and implementing scalable data-driven solutions.
- Formulate business questions into testable hypotheses and experimental designs
- Develop and improve models using various advanced analytical methods
- Communicate findings to Stakeholders, adapting your communication to a variety of audiences
Basic Qualifications:
- Written and spoken fluency in English
- Currently enrolled in a master’s degree program in STEM - Computer Science for the full duration of the internship
- Availability to follow the internship full-time, for 3 months, starting July 1st, 2024
- Working rights in Poland (No sponsorship available)
Preferred Qualifications:
- Good knowledge in Python and SQL
- Familiarity with causal inference, experimentation, statistical modeling, common ML methods, frameworks, tools & libraries (Scipy, Scikit-learn, PyTorch, Tensorflow, etc.)
- Familiarity with data visualization, GSheets, Looker Studio, would be a plus
About Uber
At Uber, we ignite opportunity by setting the world in motion. We tackle big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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