Arrive Logistics
Data Scientist II
Chicago, IL · Mid
No sponsorship$130k-$150kDetected 30 days ago
PythonSQLMachine LearningData ScienceNLPLLMsRAGMLOpsAI OrchestrationStatisticsLogisticsCommunication
About the role
- 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.
- 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.
Responsibilities
- 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.
- 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.
- 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 success is a testament to our remarkable team and what we're building together.
- We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.
- Who We Want 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.
Requirements
- 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.
- 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.
- Hands-on experience building or improving NLP or LLM-based systems in applied settings.
- Strong written communication skills
- able to document systems and findings clearly and present recommendations to non-technical stakeholders.
Nice to have
- 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.
Compensation
- $130k-$150k
Company info
- Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year.
- Who We Are Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year.
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This listing is sourced directly from Arrive Logistics's careers page and normalized into a canonical job model.