Assoc Data Scientist, AI

Constellation is a clean energy producer focused on providing reliable energy and supporting healthier communities and a cleaner planet. The Associate Data Scientist will apply data science, machine learning, and AI methods to develop predictive models, analytical solutions, and AI-augmented workflows, while collaborating with cross-functional teams and following AI governance and compliance requirements.

What you'll do:

• Support the development and implementation of data science, machine learning, and AI solutions that help improve business performance, operational effectiveness, and decision-making across nuclear and enterprise business functions
• Analyze structured and unstructured data using established statistical, analytical, and machine learning techniques. Apply tools such as Python, SQL, PySpark, Scikit-learn, and similar technologies under the guidance of senior team members
• Assist in the development, testing, and evaluation of AI-enabled solutions, including foundational exposure to large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), and other emerging AI capabilities
• Access, cleanse, transform, and prepare data from enterprise systems, data warehouses, and data lakes. Support data quality initiatives and work with layered data architectures to enable analytics and AI use cases
• Develop and maintain analytical notebooks, scripts, and supporting documentation following established development standards, testing practices, and version control procedures
• Collaborate with data scientists, engineers, product teams, and business stakeholders to understand requirements and contribute to the delivery of analytical and AI-driven solutions
• Communicate findings, insights, and recommendations through reports, visualizations, presentations, and documentation tailored to technical and non-technical audiences
• Apply established governance, security, and compliance requirements, including PII handling, Export Control (ECI) requirements, and responsible AI practices
• Support model validation, monitoring, and performance measurement activities to help ensure analytical and AI solutions remain accurate, reliable, and effective
• Continuously develop technical, analytical, and business knowledge through training, mentorship, and hands-on experience while contributing to a collaborative and innovation-focused team environment

What they're looking for:

• Bachelor's degree in computer science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or related fields
• Relevant experience in data science, analytics, software development, or other quantitative disciplines. Internship, research, academic, or project-based experience applying analytical and machine learning techniques may be considered
• Foundational experience with Python and data analysis libraries such as Pandas, NumPy, Scikit-learn, PySpark, or similar technologies. Ability to develop scripts, perform data analysis, and support analytical solution development
• Basic knowledge of machine learning, artificial intelligence, statistics, data visualization, or data mining concepts. Familiarity with Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), or modern AI technologies
• Ability to access, cleanse, transform, and analyze structured and unstructured data from multiple sources. Familiarity with data quality concepts, data preparation techniques, and modern data platforms
• Understanding software development fundamentals, version control practices, and collaborative development methodologies
• Awareness of Responsible AI principles, data privacy requirements, and the importance of working with sensitive, regulated, or export-controlled data in a secure and compliant manner
• Strong analytical, problem-solving, and communication skills, with the ability to present findings and recommendations clearly to technical and non-technical audiences
• Familiarity with Azure AI services, Azure OpenAI, Databricks, and modern cloud-based analytics platforms. Experience with Python and/or SQL, and exposure to analytical tools and languages such as R, SAS, Stata, SPSS, PySpark, or equivalent technologies. Familiarity with querying and working with structured and unstructured datasets
• Foundational knowledge of machine learning, statistics, probability, and data analytics concepts. Exposure to AI and GenAI technologies, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), or agent-based AI frameworks through academic, personal, internship, or professional experience
• Internship, academic, research, or professional experience within the energy, utilities, manufacturing, or other data-intensive industries
• Exposure to operational, engineering, or equipment performance data

Benefits:

• Eligible employees are offered a bonus program
• 401(k) with company match
• Employee stock purchase program
• Comprehensive medical, dental and vision benefits
• Robust wellbeing programs
• Disability and life insurance benefits
• Paid time off for vacation, holidays, and sick days
• Training, mentorship, and hands-on experience