Senior Data Scientist - AD/ADAS

Woven; Ann Arbor (MI); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Health, wellness, dental and vision coverage

Family planning and care benefits

Job summary

Woven in Ann Arbor is hiring data science engineers to enhance automotive software development. You will utilize statistical modeling to shape data acquisition and inform metrics for machine learning.

The ideal candidate will communicate complex topics clearly and embed with engineering teams to tackle specific challenges. We offer excellent health benefits and a commitment to diversity.

Qualifications

• Industry experience using Python for data science.
• Experience with a cloud platform such as AWS, GCP, or Azure.
• Experience working in a cross-functional environment.

Responsibilities

• Use statistical modeling to shape data strategy.
• Develop metrics and frameworks for data distribution.
• Communicate findings on complex technical topics.

Skills

Statistical modeling

Python for data science

SQL or relational databases

Cloud platforms (AWS, GCP, Azure)

Data-driven decision making

Communication skills

Job description

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM

The cloud and data engineering team accelerates autonomous driving by providing access to the data collected by our fleet of autonomous and non-autonomous vehicles, and provides the core technology to mine interesting and rare events out of the petabytes of data we collect. Efficient, targeted and cost-effective access to data at scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. We are a distributed team, working in the UK, US and JP.

WHO ARE WE LOOKING FOR?

The Cloud and Data Engineering team is looking for data science engineers who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within our engineering teams to help solve domain specific data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems.

RESPONSIBILITIES

• Use statistical modeling to shape the our data strategy for data acquisition (real and synthetic), validation and ML training
• Develop metrics and frameworks to understand the distribution and diversity of data
• Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact
• Communicate findings on complex technical topics to stakeholders across engineering leadership and product
• Embed with engineering teams to understand and provide data-driven recommendations on their domain-specific challenges
• Drive the adoption of best practices in data science across the organisation, mentor other data science engineers

MINIMUM QUALIFICATIONS

• Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases
• Experience with a cloud platform such as (AWS, GCP, Azure etc.)
• Experience with common data science tools; statistical analysis, mathematical modelling etc.
• Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity
• A track record of building relationships with engineering and product leadership, and influencing strategic business decisions
• Ability to communicate concepts clearly and precisely to technical and non technical stakeholders
• Experience working in a cross-functional environment

NICE TO HAVES

• Experience in working in a production ML environment
• Experience working with geographically distributed teams
• Previous experience in the AD/ADAS domain or adjacent fields (e.g. robotics)
• Experience with temporal data and/or robotics sensor data

WHAT WE OFFER

• We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
• Excellent health, wellness, dental and vision coverage
• Family planning and care benefits

Our Commitment

• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.