Description

Lead data strategy and develop data products focused on billing within the utilities sector.

Responsibilities

• Identify and integrate new datasets to build utility-sector data products.
• Mine large structured and unstructured datasets to meet client business needs.
• Develop algorithms and models to mine big-data stores and perform error analysis.
• Clean and validate data for accuracy and implement analytical models in production.
• Execute analytical experiments to solve problems across multiple domains.

Required Skills

• 7+ years of experience in data science.
• Strong programming skills in Python and Java.
• Proficiency in data mining, mathematics, and statistical analysis.
• Advanced experience in pattern recognition and predictive modeling.
• Hands-on experience with Azure and Power BI.
• Experience with SQL and SAS.
• Ability to manage concurrent projects in a research-oriented environment.

Preferred Skills

• Bachelor's degree in statistics, applied mathematics, or a related discipline.

Key Skills

Education

Bachelor's Degree