Constellation is looking to accelerate the transition to a carbon-free future and needs to enable data-driven decision-making through advanced data analytics and AI initiatives to support transformation projects.
Requirements
- Proficiency in programming languages including Python (Pandas, NumPy, Matplotlib), R, and SQL to manipulate data and generate insights from large data sets
- Advanced knowledge of AI frameworks like TensorFlow, Scikit-learn, or PyTorch
- Experience with Databricks, Delta Lake, or Azure-based analytics ecosystems
- Proficiency in major BI and visualization tools, such as Power BI, Qlik, Tableau, SQL Server
- Experience in machine learning algorithms, predictive modeling, and anomaly detection
- Proven ability to clean, join, and analyze complex datasets from disparate sources (CRM, external vendors, internal systems)
- Familiarity with agile workflows and collaboration tools such as Azure DevOps, Confluence, or Git
Responsibilities
- Lead the exploration and preparation of high value datasets for use in AI and machine learning models, applying advanced data cleaning techniques to ensure accuracy and reliability for predictive analytics and pattern recognition.
- Translate business problems into analytical requirements and partner with Data Scientists to design relevant features and input variables.
- Conduct in depth exploratory data analysis (EDA) using Python, SQL, and visualization tools to identify trends, correlations, and data quality issues.
- Collaborate with Data Engineers to ensure data availability and integrity across ingestion pipelines, and work with cross functional teams to translate complex findings into actionable business strategies.
- Own the documentation and definition of key business entities and variables such as customer, opportunity, and lead to support modeling and reporting needs.
- Evaluate model outputs and recommend improvements based on quantitative insights and business logic.
- Create dashboards and analytical tools to help product managers, sales leaders, and data scientists interpret performance and opportunity areas.
Other
- Bachelor's degree in a quantitative discipline such as Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or a related field
- 5-years of experience in data analysis and AI with demonstrated success in delivering strategic insights
- Strong problem-solving, analytical, and critical thinking skills
- Excellent communication skills (written and verbal) for conveying complex findings to non-technical stakeholders
- Experience applying B2B sales and marketing strategies to business use cases within the energy sector
