Advanced Data Scientist
2 weeks ago
Unlock the Power of Data Science
About the RoleOur team is seeking a highly skilled data scientist to join our core analytics and science team. As a member of this team, you will play a key role in driving product development through data analytic, statistical, and algorithmic expertise.
The Core Analytics & Science Team (CAS) is responsible for powering Uber's global Mobility and Delivery products. We optimize and personalize the rider experience, target incentives, and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.
ResponsibilitiesRefine ambiguous questions and generate new hypotheses and design ML-based solutions that benefit products through a deep understanding of the data, customers, and business.
Ddeliver end-to-end solutions rather than algorithms, working closely with engineers on the team to productionize, scale, and deploy models worldwide.
Use statistical techniques to measure success, develop northstar metrics, and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations, and marketing.
Design experiments and interpret results to draw detailed and impactful conclusions.
Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
Presents findings to senior leadership to drive business decisions.
We are looking for candidates with:
- An undergraduate and/or graduate/PhD degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.
- 7+ years experience as a Data Scientist, Machine Learning Engineer, or other types of data science-focused functions.
- Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics.
- Hands-on experience building and deployment ML models.
- Ability to use a language like Python or R to work efficiently at scale with large data sets.
- Significant experience in setting up and evaluation of complex experiments.
- Experience with exploratory data analysis, statistical analysis, and testing, and model development.
- Knowledge in modern machine learning techniques applicable to marketplace, platforms, digital ads, and offers.
- Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop.
As a member of our team, you can expect:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
We are an equal opportunity employer and welcome applications from diverse candidates. Please note that we cannot accommodate requests for remote work for this position.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.
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