**About the Role**

The Uber Maps team is at the forefront of advancing Uber’s geospatial technologies, crucial for driving the efficiency and reliability of Uber services. We work across a diverse array of problem domains, including: curating and improving precision of location (i.e. ‘Places’) data, developing cutting-edge location search algorithms for each Rides pickup/dropoff and Eats delivery, building base maps and correcting map errors, as well as optimizing routes and travel time predictions, and more. These pivotal technologies are the backbone of every decision made in our marketplace, influencing dispatch and pricing strategies directly.

If you're passionate about driving innovation and have relevant experiences in tech or marketplace settings, we sincerely welcome you to join our team and shape the future of Uber's geospatial technologies together. You can learn more about our team from:

1. [Fixing Map Errors with GPS Data](https://eng.uber.com/mapping-accuracy-with-catchme/)
2. [What’s my ETA? A Billion $ question](https://youtu.be/FEebOd-Pdwg)
3. [Rethinking GPS: Engineering Next-Gen Location at Uber](https://eng.uber.com/rethinking-gps/)
4. [Enhancing the Quality of Uber’s Maps with Metrics Computation](https://eng.uber.com/maps-metrics-computation/)
5. [Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps](https://eng.uber.com/nlp-deep-learning-uber-maps/)

**What You Will Do**

1. Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
2. Build statistical, optimization, and machine learning models for strategic insights as well as in production enhancements to the membership program.
3. Design and analyze experiments, present results that provide actionable recommendations.
4. Orient our teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
5. Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.

\-\-\-\- Basic Qualifications ----

1. Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
2. 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).
3. Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)
4. Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
5. Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
6. Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

\-\-\-\- Preferred Qualifications ----

01. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
02. Experience leading key technical projects and substantially influencing the scope and output of others
03. Knowledge of experimental design and analysis or experience with exploratory data analysis and model development
04. Experience communicating qualitative research methods and findings to non-qualitative researchers
05. Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team
06. Solid theoretical and applied ML skills and a strong background in mathematics and stats
07. Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
08. Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference
09. Experience of working with large dataset using Spark, Hive, HDFS is desired
10. Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
11. Thought leadership to drive multi-functional projects from concept to production

For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

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.