Senior Data Scientist, Core

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of in ternal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.

What you will be doing:

As a Senior Data Scientist, you will work directly with an array of stakeholders, including executive leadership, Autonom ous Vehicle (AV) engineers, product managers, and operations teams. You are responsible for extracting high-impact insights from our massive collection of on-road and simulation data by:

• Creating novel features and models and analyzing their performance;
• Deploying production systems that deliver continuous insights;
• Quantifying the impact of AV changes using statistical methods, data mining, and experimental design principles; and
• Reporting and communicating your results to partners through presentations and dashboards.

The ideal candidate for this role is passionate about the AV Industry, has a track record of discovering insights from massive data, and works to discover and address customer needs through their output.

• Train and deploy models that provide meaningful insights into AV performance, both on-road and in simulation.
• Develop statistical error bounds for safety-critical models, and perform power analyses for predictive experiments.
• Analyze the results of driving and simulation to uncover performance changes, and the source of those changes.
• Create tools and reports that explain model predictions to partners using Jupyter notebooks and dashboarding tools such as Looker or Plotly Dash.
• Design, validate, and deploy new features from multiple data sources using Python and distributed compute tools.
• Test, debug, and document your code. Our models and feature-extractors run in a real-time environment, and our data is big enough to hit almost every corner case.
• Collaborate with team members to build shareable tools, methods, and dashboards.
• Convert insights into concrete, meaningful recommendations for business or product improvement, and succinctly communicate these findings to various partners and leadership.

What you must have:

• A Masters or PhD degree or equivalent experience.
• 3+ years post-academic experience in data science, machine learning, or a closely-related field.
• Significant statistical experience in data-intensive on-line systems. Examples include real-time metrics tracking systems and A/B testing methodologies.
• Experience deploying feature and model pipelines at scale, and monitoring model performance.
• Experience designing, training, and critically analyzing ML models for big data.
• Experience developing and maintaining automated reporting tools for management and other stakeholders.
• Productive in both SQL and Python.
• Creative, resourceful, and enthusiastic about seeking new solutions to problems and opportunities
• A track record of leading cross-functional initiatives

Bonus points!

• Experience with MapReduce frameworks (Hadoop, Spark, BigQuery) and/or Apache Beam/Google Dataflow
• Experience with DAG orchestrators (eg. Airflow/Kubeflow-Pipelines/Luigi)
• Experience with analyzing time series data
• Consumer-facing product experience
• Experience in AV or Automotive industry

Apply Online at Cruise