Data Scientist - Behavior Evaluation
Zoox is hiring a Data Scientist - Behavior Evaluation in Foster City, United States. It pays $227k-$307k a year and Level rates it ; you can apply on Zoox.
Level's read on this job
- Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
- The listed pay starts 38% above the typical data scientist posting on Level.
- Tools and skills the posting cites include scikit-learn.
- Level classifies it as a senior role.
- Level lists 226 other open roles at Zoox.
AI in this role
In this role, you will:
- Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.
- Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
- Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems.
- Communicate complex technical findings and recommendations to both technical and non-technical audiences.
- Mentor and provide technical guidance to junior data scientists and engineers.
Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist.
- Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL.
- Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
- Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques.
- Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences.
Bonus Qualifications
- Experience working with autonomous driving data and algorithms, robotics, control systems or related fields.
- Experience with real-time data processing and low-latency systems.
- Publications in top-tier machine learning or autonomous driving conferences.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
How we rate this
Data Scientist - Behavior Evaluation at Zoox rates 97 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $227k
- Typical data scientist job
- $165k
This posting starts 38% above the typical data scientist job. See data scientist jobs
Questions you could be asked
- What's a project where you used scikit-learn hands-on?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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