AI/ML Engineer

Job Description – 
Responsibilities
Serve as lead data strategist to identify and integrate new datasets that can be leveraged and work closely with the engineering team in the development of data products specifically around billing in Utilities sector.
Execute analytical experiments to help solve problems across various domains in Utility sector.
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
Analyze data for trends, patterns, anomalies and interpret data with clear objectives in mind
Implement analytical models in production.
Required skills and qualifications
Seven or more years of experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Advanced experience in pattern recognition and predictive modeling
Experience with Python, Azure, Power BI, SQL, and programming languages (ex: Java/Python, SAS)
Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
Preferred skills and qualifications
Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline