Regional Data Scientist II - Mobility LatAm

Uber; Região Geográfica Intermediária de São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

Uber is seeking a Regional Data Scientist II for Latin America to innovate and implement data science solutions that enhance operational efficiency. This mid-senior level role demands experience in machine learning, statistical analysis, and programming with Python, SQL, and other tools. The successful candidate will play a key role in shaping Uber's mobility initiatives and driving data-driven decision-making.

Qualificações

• 3+ years of experience as a Data Scientist or Data Analyst.
• Experience with statistical analysis and model development.
• Advanced experience in experimental design and causal inference.

Responsabilidades

• Develop creative solutions for business problems using data.
• Propose data analysis frameworks to drive decisions.
• Communicate insights with senior management.

Conhecimentos

Machine Learning

Statistics

Optimization

Data Analysis

Python

SQL

Fluency in English

Fluency in Spanish or Portuguese

Formação académica

Ph.D., M.S., or Bachelors degree in a quantitative field

Ferramentas

Hive

Spark

Descrição da oferta de emprego

Regional Data Scientist II - Mobility LatAm

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Regional Data Scientist II - Mobility LatAm

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About The Role

Latin America Central Operations is the operational muscle that enables Uber's mobility business in the region, generating economic opportunities for over

About The Role

Latin America Central Operations is the operational muscle that enables Uber's mobility business in the region, generating economic opportunities for over 3 million drivers and helping more than 50 million monthly active riders reach their destinations.

Data science needs to inform much of this work. From models to experiments, operations benefit from scientific precision and technical rigor.

As a member of the Data Science team for the region, you will embed in an Operations team to design and deliver data science products that improve the scientific rigor and precision of your team's operational work.

What You'll Do

• Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
• Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
• Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
• Leverage data to understand product and/or business performance and to identify improvement opportunities
• Design experiments and interpret the results to draw detailed and impactful conclusions
• Communicate with senior management and multi-functional teams
• Provide recommendations to assist quick product ideation and feature launch decisions.
  
  

What You'll Need

• 3+ years of industry experience working as a Data Scientist or Data Analyst
• Ph.D., M.S., or Bachelors degree in a quantitative field: Statistics, IT, Systems, Engeeniring
• Knowledge of the mathematical foundations of statistics, machine learning, optimization, economics, analytics, and experimental design: A/B Testing
• Experience with exploratory data analysis; statistical analysis and testing; and model development
• Ability to use a language like Python to work efficiently at scale with large data
• Proficiency in languages and tools like SQL, Hive, and Spark
• Fluency in English, and fluency in either Spanish or Portuguese
• Experience with productionizing algorithms for real-time systems
• Advanced experience in experimental design and analysis (e.g., A/B and market-level experiments) as well as causal inference
• Experience working in a fast-paced operations environment

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Marketplace Platforms

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