Senior Scientist (Econ/Analytics), Delivery Logistics

Rocket Lab; New York (NY); On-site; USD 183,000 - 203,000; Full time

Job summary

Rocket Lab is seeking a quantitative expert to join the Delivery Logistics team in New York, focusing on building and analyzing marketplace products. The role involves using your analytical skills to generate insights and influence key decisions, with responsibilities spanning from experience design to deploying models. Join us to impact our global marketplace significantly, collaborating on high-visibility projects that directly affect outcomes.

Benefits

Eligibility for bonus program

Potential equity award

Various benefits

Qualifications

• Knowledge of experimental design and analysis is essential.
• 3+ years of industry experience preferred.
• Outstanding communication and presentation skills needed.

Responsibilities

• Work with a cross-functional team to build marketplace products.
• Deploy analysis techniques to identify business opportunities.
• Design and analyze product experiments, communicate findings.

Skills

Causal inference

Exploratory data analysis

Statistical analysis

Model development

Communication

Education

PhD., M.S. or Bachelor's degree in Operations Research

Degree in Statistics

Degree in Economics

Degree in Machine Learning

Tools

Python

SQL

Job description

About the Role

The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace.

In this role, you will use your quantitative skills to generate insights, develop new models, design metrics and run experiments. Uber operates in a constantly-evolving and competitive environment, and our success requires deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber's P+L.

What You Will Do

• Work with a cross-functional team to build cutting-edge marketplace products.
• Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities.
• Work alongside engineers to design and implement production solutions.
• Design and analyze product experiments, and communicate findings and conclusions with stakeholders.

---- Basic Qualifications ----

• PhD., M.S. or Bachelors degree in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields.
• Knowledge of experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Ability to use Python to work efficiently at scale with large data sets.
• Proficiency in SQL.

---- Preferred Qualifications ----

• 3+ years of industry experience.
• Experience in algorithm development and prototyping.
• Experience designing reinforcement learning or other advanced ML algorithms.
• Experience performing causal inference and other advanced econometric and statistical techniques.
• Experience productionizing algorithms for real-time systems.
• Outstanding communication and presentation skills.

For New York, NY-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.

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.