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HomeUber RecruitmentUBER RECRUITMENT | DATA ANALYST, DATA SCIENCE | HYDERABAD | | FRESHERS...

UBER RECRUITMENT | DATA ANALYST, DATA SCIENCE | HYDERABAD | | FRESHERS | APPLY NOW

AMAZING OPPORTUNITY
UBER is establishing off-campus drives for the position of Data Analyst/Data Science for Hyderabad, India. Eligible candidates please follow the required steps and prepare well for the position. Please find the Apply Link below.


UBER Recruitment 2022:-

Position: Data Analyst/Data Science

Salary: Up to 14* LPA

Degree: B.Sc/B.E/B.Tech/M.Sc/MCA/M.Tech

Branch: Any Stream

Batch: 18/19/20/21/2022

Experience: 0 – 3 Years

Location: Hyderabad, India.


JOB DESCRIPTION:-

  • This hands-on analytics role will be responsible for supervising Uber’s Risk platform capabilities and developing new strategies to keep the fraudsters off Uber by identifying patterns using data analysis and visualisation
  • You will serve as the subject matter authority on analytics/data-driven solutions that mitigate the risk of financial losses while also maintaining a positive user experience and enabling Uber to continue making big bold bets.
  • You will develop a solid understanding of key Uber systems and tools to optimally review and analyze emerging trends and provide recommendations for mitigating emerging fraud vectors.


ELIGIBLITY CRITERIA

  • Experience with data analytics/data science 0-3 Years experience Coursework or projects in data science and analytics BS or degree in other quantitative fields.
  • You will require a mix of business and technical acumen and also strong cross-functional skills to communicate with various internal and external partners.


IMPORTANT POINTS:-

  • Communicate optimally with cross-functional teams across subject areas such as product, engineering, data science with a focus on Risk/Fraud mitigation.
  • We are seeking an experienced risk or fraud analyst to join our Risk Operations Team.
  • The analyst will be responsible for monitoring fraud trends around the world.
  • This analyst will optimally analyse trends, and deploy recommendations and algorithms which require strong communication across product, engineering, data science, finance, and operations partners in a complex environment.

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