Data Scientist, Data Quality & Provenance (AI)

Location: Hybrid role based in Sunnyvale, California, United States. The posting also references Leonberg, Germany.

Salary: $209,700–$266,800 per year, plus equity.

Company

hirify.global develops end-to-end AI technology for autonomous mobility through its hirify.global AI Driver.

What you will do

• Partner with AI engineering teams to develop actionable insights from real and simulated driving data.
• Formulate and refine performance metrics that guide engineering progress and commercial product requirements.
• Design experiments and targeted off-road measurements while maintaining safety and performance standards.
• Investigate model-training and inference factors that create functionality and performance bottlenecks.
• Validate hypotheses and communicate findings to influence engineering priorities and strategy.

Requirements

• 3+ years of experience in a Data Science role.
• Strong SQL skills, including production-level queries and large data-transformation pipelines.
• Experience designing real-world experiments such as A/B tests and evaluating test statistics.
• Knowledge of statistical distributions, frequentist assumptions, and hypothesis testing.
• Proficiency with Python or R and data science or machine learning packages such as pandas, scikit-learn, statsmodels, SciPy, dplyr, caret, or stats.
• Ability to summarize, visualize, and communicate findings while working asynchronously with cross-functional partners across time zones.

Nice to have

• Practical machine learning experience, including PyTorch, and interest in taking research ideas to production.
• Experience with causal inference, econometrics, or Bayesian methodologies.
• Experience processing large datasets with distributed computing technologies such as Spark or Hadoop.
• Experience in a fast-moving technology company or startup.

Culture & Benefits

• Hybrid work combines time in offices and workshops with time working from home.
• Core working hours provide flexibility in scheduling with the team.
• Competitive equity package.
• Opportunity to help define AV2.0 and build new autonomous-mobility capabilities.