Data Scientist, Fleet Operations at Wayve

Sunnyvale, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, AutomotiveIndustries

Requirements

Essential
3+ years of experience in a Data Science role, with a focus on operations research, process automation and optimisation, or similar fields
Proficient in querying and building large datasets, writing production-level SQL for data transformation pipelines
Experience designing and evaluating real-world experiments (e.g., A/B testing) to optimize operations and performance
Solid understanding of statistical principles, including hypothesis testing, distributions, and assumptions behind statistical methods
Proficient in using a statistical scripting language (e.g., Python, R) and relevant packages (e.g., pandas, sklearn, statsmodels)
Strong ability to summarize, visualize, and communicate data insights in a clear and compelling manner
Proven track record of driving operational improvements and influencing team strategies with data-driven findings
A focus on actionable insights that can directly inform fleet operations prioritization and optimization strategies
Desired
Practical experience with machine learning and optimization techniques (e.g., pytorch, scikit-learn)
Experience promoting statistical rigor and experimental best practices in previous roles

Responsibilities

Develop frameworks to synthesize complex operational data (e.g., vehicle performance, route optimisation, and experiments scheduling) to inform strategy at both the product and company level
Identify key performance metrics for fleet operations and continuously refine them to ensure they align with wider business goals
Create and apply novel experimental methodologies to enhance the signal-to-noise ratio and speed up feedback loops, improving operational decision-making and optimising use of on-road testing for ML advancements
Combine experimental methods with causal inference techniques to test and optimise operational strategies
Optimise fleet operations through data-driven insights and operational research
Identify high-impact opportunities and guide strategic decision-making, driving improvements across the on-road testing lifecycle

Skills

Key technologies and capabilities for this role

Data ScienceOperational ResearchExperimental MethodsFleet OperationsData AnalysisStatistical ModelingPythonSQL

Questions & Answers

Common questions about this position

What experience is required for the Data Scientist role?

Candidates need 3+ years of experience in a Data Science role, with a focus on operations research, process automation and optimisation, or similar fields.

What technical skills are essential for this position?

Proficiency in querying and building data pipelines or models is required.

What is the company culture like at Wayve?

Wayve fosters a diverse, fair, respectful, and inclusive culture that values unique skills and perspectives, embraces uncertainty, and supports team members to deliver impact in a fast-paced environment.

Is the salary specified for this Data Scientist position?

This information is not specified in the job description.

What makes a strong candidate for this role?

A strong candidate has 3+ years in Data Science focused on operations research, process automation, or optimisation, and proficiency in querying and building data systems, with interests in causal inference and experimental methods.

Wayve

Develops autonomous vehicle technology using AI

About Wayve

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating a smarter and safer approach to autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai has already partnered with major retailers in the UK to test its technology in delivery fleets, aiming to enhance mobility and sustainability in the automotive industry.

London, United KingdomHeadquarters

2017Year Founded

$1,272.3MTotal Funding

SERIES_CCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition in San Francisco could dilute Wayve's market presence.

Regulatory challenges may delay the deployment of Wayve's technology with Uber.

Wayve's reliance on AI systems may face skepticism from traditional automakers.

Differentiation

Wayve uses embodied AI to adapt vehicles to any environment without explicit programming.

Its AV2.0 technology eliminates the need for costly robotic stacks and complex mapping.

Wayve's end-to-end deep learning approach offers a cost-effective solution for automakers.

Upsides

Wayve's partnership with Uber expands its market reach and data collection opportunities.

The expansion into the U.S. market taps into a larger talent pool and partnerships.

Generative AI models like GAIA-1 offer new ways to simulate driving scenarios.

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