Senior Staff Data Scientist – IAA

The Job Sauce

. Define and drive the technical roadmap for data science and ML initiatives across the organization .

Posted 10/9/2026full-timeChicago • Illinois • United StatesSenior💰 $142,000 - $194,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying production machine learning systems, with advanced proficiency in Python and SQL. Capable of architecting end-to-end ML solutions, mentoring teams, and translating complex technical strategies for diverse stakeholders.

Highest-signal resume keywords

Machine Learning System DevelopmentNatural Language Processing (NLP)Deep Learning Model DesignAI Agentic Applications DevelopmentCloud Platform Experience (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLScikit-LearnPyTorchTensorFlowPandasNumPyFeature EngineeringModel TrainingStatistics

Soft Skills

MentoringCommunicationCross-Functional Collaboration

Tools & Technologies

LangChainLangGraphSparkDaskMLOpsCI/CD Pipelines

Industry Keywords

Machine Learning LifecycleModel Context Protocol (MCP)Generative AIReal-Time InferenceLow-Latency Model Serving

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

Key responsibilities & impact

Define and drive the technical roadmap for data science and ML initiatives across the organization
Architect and build end-to-end ML systems from problem framing and data strategy through model development, deployment, and monitoring at scale
Design and build supervised, unsupervised, and deep learning models, including NLP and computer vision solutions
Develop AI agentic applications and LLM-powered solutions to automate workflows and unlock new capabilities
Perform feature engineering, data validation, and quality assurance across large, complex datasets
Partner with data engineering, ML platform, and software engineering teams to productionize models and ensure scalability, reliability, and monitoring
Translate ambiguous cross-functional business challenges into technical strategies and communicate findings to executive and non-technical stakeholders
Mentor and elevate staff and senior data scientists
Establish best practices, standards, and technical direction across the data science team

Requirements

What you’ll need

8+ years of experience building and deploying production machine learning systems
Advanced proficiency in Python and SQL
Deep experience with scikit-learn, PyTorch or TensorFlow, pandas, and NumPy
Strong hands-on experience in Natural Language Processing (NLP) and computer vision
Hands-on experience building AI agentic applications using LangChain, LangGraph, or similar frameworks
Experience integrating LLMs and external tools/APIs
Experience with the full ML lifecycle: feature engineering, model training, hyperparameter tuning, evaluation, deployment, and monitoring
Strong foundation in statistics and core ML algorithms, including gradient boosting, neural networks, clustering, and dimensionality reduction
Experience with Spark or Dask and cloud platforms such as AWS, Azure, or GCP
Ability to set technical direction, influence cross-functional roadmaps, and communicate complex technical strategies to executive stakeholders
Track record of mentoring senior data scientists
Experience with Model Context Protocol (MCP) preferred
Experience designing multi-agent AI systems, tool-use agents, RAG pipelines, and autonomous decision-making workflows preferred
Familiarity with LLMs, prompt engineering, and Generative AI preferred
Experience with MLOps and CI/CD pipelines preferred
Experience with real-time inference and low-latency model serving preferred
Contributions to open-source projects preferred

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Basic life insurance
401(k) plan with 100% company match for the first 4% contributed
15 days of PTO each year
$20K–$30K bonus