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Senior Data Scientist

Swinerton
Concord CA, United States, United Statesfull_timeVerifiedPosted 12 Feb 2026
💰 $200,000/yr($150,000/yr$200,000/yr)

About the role

Compensation Range:

$150,000.00 - $200,000.00 Annual Salary

Job Description Summary:

We are seeking a Senior Data Scientist to design, develop, and deploy advanced analytics and AI solutions that address complex business challenges. In this role, you will collaborate with cross-functional teams to identify opportunities and deliver scalable, production-ready solutions - including predictive models, agent-based systems, and intelligent workflows - to drive strategic business outcomes.

Job Description:

Stakeholder Collaboration & Communication:

  • Partner with cross‑functional teams to identify high‑impact opportunities for AI/ML, agentic automation, process optimization, and intelligent workflow orchestration.
  • Translate complex technical findings into clear, actionable insights for technical and non‑technical audiences.
  • Foster alignment and adoption.

Data Acquisition, Preparation, and Quality Assurance:

  • Extract, clean, and transform structured and unstructured data from multiple sources.
  • Assess data quality, resolve inconsistencies, and perform imputations to ensure robust inputs for models and agents.

Design, Build, and Deploy AI/ML Models & Agents:

  • Develop statistical models and solutions using NLP, computer vision, generative AI, and agent frameworks.
  • Deploy scalable, interpretable models and AI agents into production environments.

Multiagent Orchestration for Complex Workflows:

  • Design and coordinate multiple AI agents to collaborate across business processes and multi‑step tasks.

Performance Monitoring & Continuous Improvement:

  • Evaluate and improve agent/model reliability, effectiveness, and alignment with evolving business objectives.

Pipeline Reliability & Preprocessing Automation:

  • Partner with data engineering to enhance data pipeline robustness and automate preprocessing workflows, enabling seamless integration with AI frameworks.

Documentation, Reproducibility, and Versioning:

  • Apply best practices to ensure data and model assets are well‑documented, reproducible, and properly versioned.

Research & Stay Current on Agentic AI:

  • Track emerging paradigms and frameworks, evolving toward advanced autonomous reasoning and multi‑agent systems.

Cross-functional Collaboration & Knowledge Sharing:

  • Support team learning and best practice adoption by sharing insights, mentoring, and contributing to collaborative problem-solving.

Skills, Experience and Qualifications:

  • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, or Mathematics required; Master’s degree preferred. Equivalent work experience will also be considered.
  • 7+ years in data science, machine learning, or AI roles, with a track record of delivering production-ready solutions.
  • Strong experience in data wrangling, feature engineering, and data normalization techniques.
  • Skilled in parsing, transforming, preparing structured, semi-structured, and unstructured data for analysis, modeling, and agent-based workflows.
  • Proficiency in SQL and Python (including pandas, scikit-learn, TensorFlow, PyTorch).
  • Proficiency in cloud data platforms such as Databricks, Snowflake, or Redshift for processing and analytics.
  • Experience with ML lifecycle tools and platforms for model tracking, deployment, and automation (e.g. MLflow, DataRobot).
  • Experience with agent orchestration frameworks and development tools (e.g., LangChain, AutoGen, Semantic Kernel, Microsoft AI Foundry) is a plus.
  • Excellent problem-solving, critical thinking, and communication skills; Ability to work independently and collaboratively with cross-functional teams.
  • Construction industry experience is preferred but not required.
  • Proven ability to work independently in a remote or hybrid environment with minimal supervision, while adapting to shifting priorities and evolving business needs.

Summary of Benefits:

This role is eligible for the following benefits:  medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and Dash

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Company

Swinerton

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