Data Science Sr Analyst

Job Summary

The Digital & Data team is leading an internal effortto digitallytransform and revolutionize every aspect of Black & Veatch. Our goal is to accelerate the companys technology and data capabilities, propelling Black & Veatch into the next century of digital innovation and success.
We are seeking a Senior Data Scientist who will partner with digital product teams and business stakeholders to design, build, and deliver durable, differentiating analytical and AI models using Black & Veatch data as the catalyst. This role focuses on production-ready models that drive measurable business outcomes across operations, safety, project delivery, finance, and other enterprise domains.

Key Responsibilities

• • Conduct exploratory data analysis (EDA) to uncover patterns, correlations, and insights within large and complex datasets.

  • Design and develop advanced predictive, prescriptive, and optimization models to address complex business problems.

  • Lead initiatives in machine learning, artificial intelligence, and advanced analytics.

  • Develop,validate, andproductionizestatistical and machine learning models that support enterprise decision-making.

  • Partner with digital product teams to embed models into applications, workflows, and decision platforms.

Management Responsibilities

Preferred Qualifications

Minimum Qualifications

• Bachelors degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field Masters degree preferred.
• 7+ years of progressive experience in data science, advanced analytics, or applied machine learning.
• Demonstrated experience owning end-to-end model development from problem framing through deployment.
• Strong experience with cloud-based data and AI platforms (e.g., Microsoft Azure).
• Advanced proficiency in Python (or R) and strong experience with Pandas, NumPy, SQL, and machine learning libraries.
• Deep understanding of statistical methods and machine learning techniques.
• Proven ability to partner with business and digital teams to translate ambiguous problems into analytical solutions.

Preferred Qualifications

• Experience operationalizing models using MLOps / ModelOps practices, including CI/CD, monitoring, and retraining strategies.
• Experience working within digital product teams or product operating models.
• Experience with Azure AI Foundry or comparable enterprise AI platforms (e.g., Databricks ML, SageMaker, Vertex AI).
• Familiarity with data and model governance, including lineage, reproducibility, and responsible AI practices.
• Experience mentoring junior data scientists or serving as a technical lead.
• Strong communication skills with the ability to explain complex analytical concepts to non-technical stakeholders.
• Demonstrated delivery of durable, reusable analytical and AI assets.

Minimum Qualifications

All applicants must be able to complete pre-employment onboarding requirements (if selected) which may include any/all of the following: criminal/civil background check, drug screen, and motor vehicle records search, in compliance with any applicable laws and regulations.

Certifications

Work Environment/Physical Demands

Competencies

Salary Plan

Job Grade