Data Scientist, Arrive Logistics
$138-172k
+ Bonus
Multimodal transportation & technology company
Be an early applicant
Multimodal transportation & technology company
1001+ employees
Be an early applicant
$138-172k
+ Bonus
1001+ employees
Company mission
To define a new standard for service in freight and push the limits of what’s possible for itself and its partners every day.
Role
Who you are
- The ideal candidate is comfortable operating in ambiguous problem spaces, can translate loosely defined business needs into concrete technical approaches, and communicates findings clearly to both technical and non-technical audiences
- Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2–4 years of applied ML or data science experience, or equivalent practical experience
- Hands-on experience building or improving NLP or LLM-based systems in applied settings
- Familiarity with text classification, information extraction, or other NLP tasks — and an understanding of where these systems fail
- Experience with both prompt engineering and fine-tuning approaches for language tasks, with the judgment to know when to apply each
- Familiarity with modern retrieval strategies and RAG architectures and how they affect LLM system performance
- Experience with Hugging Face Transformers for text classification or related NLP tasks
- Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems, including comfort with statistical methods for measuring model performance
- Proficiency in Python and SQL, and comfort working with structured and unstructured data
- Ability to operate effectively in ambiguous problem spaces — scoping technical approaches when requirements are not fully defined
- Strong written communication skills; able to document systems and findings clearly and present recommendations to non-technical stakeholders
- Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus
- Experience with model deployment, monitoring, or production ML workflows is a plus
- Familiarity with LangChain and LangSmith or similar LLM orchestration and observability tooling is a plus
- Transportation or logistics industry experience is a plus
What the job involves
- The Data Scientist II will work closely with Data Science, Product, and Engineering to build and improve ML and AI systems that drive operational value
- This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based systems who is ready to take on meaningful technical ownership
- You'll contribute to the full lifecycle of production ML systems — from evaluation and measurement through development, deployment, and iteration — with a particular focus on text and language-based applications
- Develop, evaluate, and iterate on NLP and LLM-based systems, including text classification, information extraction, and context retrieval pipelines
- Build measurement and evaluation frameworks — both offline and online — to assess where and why systems are underperforming and quantify the impact of improvements
- Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality
- Evaluate and apply the appropriate approach for language tasks — whether prompt engineering, fine-tuning, or classical NLP methods — including modern retrieval and RAG architectures and LLM evaluation methodologies, based on the problem and available data
- Perform structured analysis of system performance to surface failure modes, data gaps, and high-value areas for investment, applying sound statistical reasoning to evaluation results
- Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in production
- Contribute to standards and best practices around deploying, evaluating, and monitoring text and language-based ML systems
- Document work clearly and maintain knowledge artifacts that make systems understandable and maintainable over time
- Collaborate with senior data scientists and cross-functional partners to translate business needs into well-scoped technical solutions, including communicating findings and recommendations to non-technical stakeholders
Our take
Arrive Logistics, a rapidly growing multimodal transportation and technology company based in Austin, Texas, has emerged as a key player in the U.S. freight brokerage industry. From its impressive $30 million in truckload sales during its first year to a staggering $2.4 billion in 2022, Arrive Logistics is clearly on a trajectory for substantial growth.
The recent establishment of a new office in Guadalajara, Mexico, underscores Arrive's commitment to expanding its footprint and enhancing its cross-border logistics capabilities. This strategic move aligns with increasing trade activities between the U.S. and Mexico, catering to the growing demand for localized logistics solutions. The Guadalajara office will facilitate seamless connections across Arrive's North American operations, leveraging local expertize and resources to drive operational excellence.
As consumer expectations for faster shipping evolve and eCommerce continues to flourish, Arrive Logistics' proactive response to these market dynamics positions it uniquely for continued success in the dynamic freight industry landscape. Bolstered by significant investments across multiple funding rounds, the company continues to intensify its focus on team expansion and service diversification.
Freddie
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2021
$300m
GROWTH EQUITY VC
Jun 2019
$25m
SERIES B
Total funding: $335m
Company benefits
- Competitive compensation packages
- Excellent benefits
- Matching 401(k) plan
- Two floating holidays in your first year
- Professional development tools
- Leadership development programs
- Employee referral bonus program
- Relocation assistance no matter where you’re moving from
Company HQ
Southeast Austin, Austin, TX
Leadership
Matt Pyatt
(Co-Founder & CEO)Matt graduated from Miami University with a Bachelor of Science in Marketing and Entrepreneurship. Before co-founding Arrive Logistics in 2014, he spent over 3 years at Command Transportation as an Account Executive.
Eric Dunigan
(Co-Founder & President)Eric graduated from Miami University before co-founding Arrive Logistics.
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