• Job Description

  Req#: J16717

  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.

  Multi ‑ agent 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 DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.

  Anticipated Job Application Deadline:

  02/17/2026

• About the company

  Swinerton is a commercial construction company that provides services in the United States for commercial office, retail, multi-family residential, hospitality, healthcare, education, energy, and the entertainment sectors.

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