Uber
What The Candidate Will Do
Develop algorithms for optimizing prices at scale.
Design pricing experiments and use data for model training and pricing decisions.
Use data to understand product performance and to identify improvement opportunities.
Monitor and evaluate the performance of pricing strategies and make adjustments as needed to ensure optimal outcomes.
Present findings to senior management to advise on business decisions.
Collaborate with multi-functional teams across fields such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productization.
Basic Qualifications
A Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Operations Research) OR a Master's/Bachelor's degree in a similar field with 2+ years of relevant industry experience.
Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets.
Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.
Self-motivated with the ability to work independently and a strong passion to learn and grow.
Preferred Qualifications
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Experience leading key technical projects and substantially influencing the scope and output of others.
Solid programming skills to prototype models in at least one of Python (preferably), R.
Expert in one of the following areas: A/B experimentation design, causal inference, machine learning, economics, or optimization.
Experience of working with large dataset using Spark, Hive, HDFS is desired.
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience working in a marketplace-related problem space, esp. pricing optimization.
Experience designing large-scale price experiments and using the data for pricing decisions.
Compensation & Benefits Base salary range: $155,000 - $172,000 per year (across all U.S. locations). Eligible for Uber bonus program, equity awards, and a comprehensive benefits package. More details can be found at https://www.uber.com/careers/benefits.
Job Details
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Research, Analyst, and Information Technology
Industry: Internet Marketplace Platforms
Referrals increase your chances of interviewing at Uber by 2x.
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Develop algorithms for optimizing prices at scale.
Design pricing experiments and use data for model training and pricing decisions.
Use data to understand product performance and to identify improvement opportunities.
Monitor and evaluate the performance of pricing strategies and make adjustments as needed to ensure optimal outcomes.
Present findings to senior management to advise on business decisions.
Collaborate with multi-functional teams across fields such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productization.
Basic Qualifications
A Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Operations Research) OR a Master's/Bachelor's degree in a similar field with 2+ years of relevant industry experience.
Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets.
Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.
Self-motivated with the ability to work independently and a strong passion to learn and grow.
Preferred Qualifications
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Experience leading key technical projects and substantially influencing the scope and output of others.
Solid programming skills to prototype models in at least one of Python (preferably), R.
Expert in one of the following areas: A/B experimentation design, causal inference, machine learning, economics, or optimization.
Experience of working with large dataset using Spark, Hive, HDFS is desired.
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience working in a marketplace-related problem space, esp. pricing optimization.
Experience designing large-scale price experiments and using the data for pricing decisions.
Compensation & Benefits Base salary range: $155,000 - $172,000 per year (across all U.S. locations). Eligible for Uber bonus program, equity awards, and a comprehensive benefits package. More details can be found at https://www.uber.com/careers/benefits.
Job Details
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Research, Analyst, and Information Technology
Industry: Internet Marketplace Platforms
Referrals increase your chances of interviewing at Uber by 2x.
#J-18808-Ljbffr