Cleco is seeking to be the clean energy leader in Louisiana by investing in renewables and carbon capture technology. The Data Scientist II will help solve complex business problems and discover business insights through data analytics to support decision-making processes and improve efficiency.
Requirements
- Experience in Python/Jupyter, R, RStudio, SAS, Scala, Excel, Minitab, SQL, MySQL, MS Access, TOAD Data Point, Tableau and PowerBI
- Experience in leveraging both structured and unstructured data sources, using big data analysis tools and techniques, and building and deploying predictive models, web scraping, and scalable data pipelines
- Experience using statistics and machine learning to solve complex business problems and conducting statistical analysis with advanced statistical software, scripting languages, and packages
- Knowledge in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, hierarchical clustering, deep learning, convolutional neural network (CNN).
- Experience with SAP and other financial systems preferred
- Strong knowledge in machine learning, data analytics tools and techniques, predictive modeling methodology, the Utility industry, and leading practices.
Responsibilities
- Proactively mine data warehouses to identify trends and patterns and generate insights for business units and senior leadership
- Create scripts that can be reused to preprocess data sets, perform analysis, etc.
- Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
- Develop business insights and engaging reports on results of data analysis using data visualization
- Develop frameworks and processes to analyze unstructured information collected through social media platforms, including wikis, blogs, instant messaging, etc.
- Perform large-scale experimentation to identify hidden relationships between variables in large datasets
- Determine requirements that will be used to train and evolve models and algorithms
Other
- Understand the decision-making process, workflows, and business and information needs of business unit heads and service manager/owners
- Translate business needs into analytics/reporting requirements to support executive decisions and workflows with required information
- Advise product teams on new products, features or updates through data-based recommendations
- Support user experience specialists and information architects to enhance information visualization through development of dashboards and user interfaces
- Strong communication (writing, speaking, storytelling), interpersonal, listening, and negotiation skills to communicate complex results to technical and non-technical audiences and influence with a consultative approach
