Senior Scientist, Maps

تعمل Uber Maps على تطوير تقنيات أوبر الجغرافية المكانية (Geospatial) التي تُعد أساسية لرفع كفاءة وموثوقية خدمات أوبر. نعمل عبر مجالات متعددة، تشمل: تنسيق وتحسين دقة بيانات المواقع (مثل بيانات “Places”)، تطوير خوارزميات بحث متقدمة للمواقع لعمليات الالتقاط/الإنزال في Rides وتسليم Eats، بناء الخرائط الأساسية وتصحيح أخطاء الخرائط، وتحسين المسارات وتوقعات زمن الرحلة، وغيرها. تُعد هذه التقنيات حجر الأساس لكل قرار في سوقنا، وتؤثر مباشرةً في استراتيجيات الإرسال والتسعير.

إذا كنت شغوفًا بالابتكار ولديك خبرات ذات صلة في بيئات تقنية أو أسواق (Marketplace)، فنحن نرحب بانضمامك إلى الفريق للمساهمة في تشكيل مستقبل تقنيات أوبر الجغرافية المكانية.

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 maps products.
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, Machine Learning, Operations Research, Economics, Mathematics, Computer Science, or other quantitative fields.
2. 5+ years of industry experience as an Applied or Data Scientist or equivalent (or 3+ years with Ph.D.).
3. Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl).
4. Develop statistical analysis and prototype algorithms in Python or R.
5. Work efficiently with large data sets using Python, SQL, R or similar.
6. Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.

Preferred Qualifications

1. Ph.D. degree in Statistics, Machine Learning, Operations Research, Economics, Mathematics, Computer Science, or other quantitative fields.
2. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
3. Experience leading key technical projects and substantially influencing the scope and output of others.
4. Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala.
5. Experience of working with large datasets using Spark, Hive, HDFS is desired.
6. Thought leadership to drive multi-functional projects from concept to production.

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.