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Urgent! Sr. Scientist, Matching Segmentation Job Opening In San Francisco – Now Hiring Uber
**About the Role**
Have you ever wondered why it's taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you?
If so, the Mobility Matching Segmentation Science team is for you!
The Matching Segmentation team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform for two of the fastest growing products - Wait and Save and Priority.
We work on the problems of determining which earners to send an offer to and when, the price to charge and so on! The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.
We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber's scale.
They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.
**What You'll Do**
+ Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
+ Design and analyze experiments, communicating results that draw detailed and actionable conclusions
+ Analyze and contribute to development of optimization algos and ML models for use in mobility matching
+ Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
**Basic Qualifications**
+ PhD, MS, or Bachelors degree in Operations Research, Statistics, Economics or other quantitative fields
+ 4+ years of industry experience as Data Scientist or equivalent
+ Proficient in SQL and advanced experience (2+ years) using Python/R to able to work efficiently at scale with large datasets
+ Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff etc)
+ Experience with exploratory data analysis, statistical analysis and testing and model development
+ Good communication skills across technical, non-technical and executive audiences
**Preferred Qualifications**
+ Ability to work in self-guided manner
+ Have a growth mindset; love solving ambiguous, ambitious and impactful problems
+ Experience in optimization and/or algorithm development
+ Experience with dashboard / data visualization tools (i.e Tableau, Mixpanel, Looker or similar)
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.
Uber is proud to be an Equal Opportunity/Affirmative Action 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://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
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Unlock Your Sr Scientist Potential: Insight & Career Growth Guide
Real-time Sr Scientist Jobs Trends in San Francisco, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sr Scientist in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 66744 jobs in United States and 2366 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in Sr Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Uber is currently hiring and seeking a Sr. Scientist, Matching Segmentation to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Sr. Scientist, Matching Segmentation Jobs San Francisco.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Uber adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sr. Scientist, Matching Segmentation Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sr. Scientist, Matching Segmentation typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Sr. Scientist, Matching Segmentation interview at Uber, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Uber's products or services and be prepared to discuss how you can contribute to their success.
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