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Data Scientist II, Tech

Data Scientist, Data Science
in Sunnyvale, California
- Full Time

Employer:                    Uber Technologies, Inc.

Job Title:                      Data Scientist II, Tech

Job Location:              Sunnyvale, California

Job Type:                     Full Time

Rate of Pay:                 $174,304 to $209,164 per Year

You will be eligible to participate in Uber's bonus program, and may be offered 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.

Duties:                         Perform statistical analyses to understand risk and fraud behaviors and contribute to the development of fraud detection features and models. Build and maintain fraud rules in response to evolving fraud behaviors. Extract insights from large volumes of data to formulate new strategies for mitigating or stopping fraudulent activities. Develop a deep understanding of risk data, reporting, and key metrics. Conduct experiments to test and optimize the effectiveness of risk mitigation products and solutions. Participate in project definition and collaborative initiatives with global stakeholders focused on risk and fraud mitigation. Present findings effectively to the management team to support business decision-making. With guidance, define and develop a specific area of expertise. Stay engaged and proactive, as the environment is fast-paced. May telecommute.

Employer will accept a Master's degree in Mathematics, Statistics, Computer Science, Operational Research, Economics, or a related field and 2 years of experience in the job offered or in a related occupation.

Position requires:

  1. R or Python;
  2. Database query languages: SQL;
  3. Experimentation techniques including simulation or A/B testing;
  4. Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
  5. Developing relevant metrics;
  6. KPIs to measure performance by product teams;
  7. Quantitative modeling including machine learning models, time-series forecasting, or casual impact analyses;
  8. Experience in risk, fraud, or payments.

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.

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.


See our Candidate Privacy Statement

Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.

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선호하는 언어 선택

아랍어, العربية아삼어, অসমীয়া아제르바이잔어, Azərbaycanca불가리아어, Български벵골어, বাংলা카탈로니아어(스페인), Català (Espanya)체코어, Čeština덴마크어, Dansk독일어, Deutsch그리스어, Ελληνικά영어, English스페인어, Español (Internacional)스페인어, Español (Argentina)스페인어, Español (Chile)스페인어, Español (Colombia)스페인어, Español (Costa Rica)스페인어(유럽), Castellano스페인어, Español (Honduras)스페인어, Español (México)스페인어, Español (Uruguay)에스토니아어, Eesti핀란드어, Suomi프랑스어(캐나다), Français (Canada)프랑스어, Français (France)히브리어, עברית힌디어, हिन्दी크로아티아어, Hrvatski헝가리어, Magyar인도네시아어, Bahasa Indonesia이탈리아어, Italiano일본어, 日本語조지아어, ქართული칸나다어, ಕನ್ನಡ한국어, 한국어쿠르드어, کوردی리투아니아어, Lietuvių라트비아어, Latviešu말라얄람어, മലയാളം마라티어, मराठी노르웨이어(보크말), Norsk Bokmål네팔어, नेपाली네덜란드어, Nederlands펀잡어, ਪੰਜਾਬੀ폴란드어, Polski포르투갈어(브라질), Português (Brasil)포르투갈어(유럽), Português (Portugal)루마니아어, Română러시아어, Русский싱할라어(스리랑카), සිංහල슬로바키아어, Slovenčina슬로베니아어(슬로베니아), Slovenščina스웨덴어, Svenska스와힐리어, Kiswahili타밀어, தமிழ்텔루구어, తెలుగు태국어, ไทย터키어, Türkçe우크라이나어, Українська우르두어, اردو베트남어, Tiếng Việt중국어, 简体中文중국어(홍콩[중국 특별행정구]), 香港中文중국어(대만), 繁體中文