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Senior Data Scientist

United States, Austin · Job Posted February 16, 2026
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Job Description

The Senior Data Scientist will work closely with Product and Engineering to translate business needs into data and modeling solutions that contribute to a positive business impact. This position requires an experienced professional who provides technical leadership to their team and oversees the production of machine-learning systems.

Job Responsibility

  • Own the design, development, and iteration of production machine-learning systems that drive operational and business outcomes
  • Lead modeling, feature engineering, and dataset development for predictive and decisioning use cases
  • Design and maintain evaluation frameworks that reflect real-world behavior and business impact
  • Build and evolve LLM- and NLP-based pipelines to transform unstructured data into reliable operational datasets
  • Define and monitor quality, coverage, and reliability of ML and LLM/NLP systems at scale
  • Perform deep analysis of model and system performance to identify bias, data gaps, and systematic failure modes
  • Partner closely with Product and Engineering to translate business needs into data and modeling solutions, and to support productionization and ongoing iteration
  • Contribute to and define monitoring for model performance, data quality, and downstream business impact
  • Act as a senior technical owner and reviewer for data science work across the team

Requirements

  • Master’s degree or PhD in a quantitative field and 5+ years of industry experience building and owning production data science or machine learning systems
  • Experience developing predictive or decisioning models used in operational or real-time settings
  • Demonstrated experience working with complex, multi-source datasets, including feature development and data quality challenges
  • Experience building, deploying, and evaluating NLP or LLM-based systems in production
  • Strong proficiency in Python and SQL in production analytics or machine learning environments
  • Proven ability to partner with engineering teams to deploy, monitor, and iterate on models and data pipelines
  • Ability to independently scope and drive ambiguous data science problems from problem definition through production impact

Nice to have

  • Experience with explainability, model diagnostics, and stakeholder-facing performance reporting is a plus
  • Transportation logistics industry experience is a plus

What we offer

  • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage
  • Invest in your future with our matching 401(k) program
  • Build relationships and find your home at Arrive through our Employee Resource Groups
  • Enjoy office wide engagement activities, team events, happy hours and more!
  • Leave the suit and tie at home
  • our dress code is casual
  • Park your car for free on site!
  • Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew
  • Sweat it out with the team at our onsite gym
  • Maximize your wellness with free counseling sessions through our Employee Assistance Program
  • Take time to manage your physical and mental health – we offer company paid holidays, paid vacation time and wellness days
  • Receive 100% paid parental leave when you become a new parent
  • Get paid to work with your friends through our Referral Program!
  • Get relocation assistance! If you are not local to the area, we offer relocation packages

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