Data Scientist - Agentic AI

Job Code Title: Data Scientist

Remote Role

Duration: 6-12 months

Strong Agentic AI framework experience

Job Summary:

We are looking for a Data Scientist to develop and apply models and statistical analysis within our enterprise data science group. This individual will work within a functionally organized Enterprise Data & Analytics group with support from IT, Data Engineering and Governance, Business Intelligence, and Product Management. Its scope encompasses electricity and gas contracts, smart home products, plant operations, trading, and energy services. The role will report to data science lead and will work on cross-functional project teams to deliver repeatable and scalable data solutions to drive value for the organization. This will require both an understanding of the intersection between business economics and the use of algorithms to make or aid business decisions.

Essential Duties/Responsibilities:

Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projects

Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and trading

Passion to learn latest Al techniques and explore applications for large language models

Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers

Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects

Ability to communicate and establish good relations with multi-disciplinary teams

Proficiency with Python, including pandas, scikit-learn

Experience in Spark or Pyspark

Minimum Requirements:

Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.

2+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research

Preferred Qualifications:

Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.

Additional Knowledge, Skills and Abilities:

Experience with Databricks

Experience with AWS SageMaker

Experience with Azure Al Studio

Retail electricity or gas experience

Comfortable working in Linux

Experience with Git

Experience with Docker containers

Ability to learn and apply new quantitative techniques quickly and appropriately

Ability to interpret and communicate complex analytics results

Kindly share your latest resume to rcoutinho@prodwaresol.com