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Data Scientist - Stats Focus

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Harnham
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Additional compensation types
  • Annual Bonus
  • Direct message the job poster from Harnham
Title

Data Scientist - Statistical Modeling (open to senior-level)

About the Role

We're looking for a Data Scientist with strong statistical expertise to drive data-informed decisions across our autonomous vehicle platform. You'll design experiments, analyze real‑world vehicle data, and apply rigorous statistical methods to evaluate system performance, safety, and reliability.

What You’ll Do
  • Design and analyze A/B tests and experiments to evaluate AV system performance and algorithm changes
  • Build statistical models (regression, time series, ANOVA) to analyze vehicle behavior and fleet performance across millions of miles
  • Develop metrics and KPIs to measure safety and reliability using hypothesis testing and confidence intervals
  • Perform segmentation analysis across driving scenarios to identify performance patterns and improvement areas
  • Conduct failure analysis and anomaly detection using statistical methods
  • Build data pipelines and automated reporting for continuous fleet monitoring
  • Partner with engineering teams to translate insights into actionable recommendations
What You’ll Need
  • Strong foundation in statistics and experimental design (hypothesis testing, regression, time series, A/B testing)
  • Expert Python proficiency with statistical libraries (stats models, Sci Py, Num Py, scikit‑learn, Pandas)
  • Solid SQL skills and experience with distributed computing (Spark, Hadoop)
  • Data visualization experience (Matplotlib, Plotly, Tableau)
  • Strong communication skills to explain complex statistical concepts to technical teams
Nice to Have
  • Experience with autonomous vehicles, robotics, or sensor data
  • Bayesian methods and causal inference knowledge
  • Background in safety analysis or reliability engineering
  • Experience with R or SAS
Seniority level

Associate

Employment type

Full‑time

Job function

Analyst and Engineering

Industries:
Technology, Information and Media

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