Job Description
Job Summary
The Digital & Data team is leading an internal effort to digitally transform and revolutionize every aspect of Black & Veatch. Our goal is to accelerate the company’s 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
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Conduct exploratory data analysis (EDA) to uncover patterns, correlations, and insights within large and complex datasets.
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Design and develop advanced predictive, prescriptive, and optimization models to address complex business problems.
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Lead initiatives in machine learning, artificial intelligence, and advanced analytics.
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Develop, validate, and productionize statistical and machine learning models that support enterprise decision-making.
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Partner with digital product teams to embed models into applications, workflows, and decision platforms. #LI-IB2
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Management Responsibilities
Preferred Qualifications
Minimum Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field; Master’s 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.