Senior Data Scientist - ML, Production Models & Insights

4pconsultinginc; Forest Park (GA); On-site; USD 110,000 - 165,000; Full time

Job summary

4pconsultinginc, on behalf of Alabama Power, seeks a Data Scientist III to lead advanced analytics, ML, predictive modeling, and data-driven decision support initiatives in Birmingham, AL.

The ideal candidate will have deep expertise in Python, ML, SQL, data visualization, and model deployment, with the ability to translate complex findings into business recommendations. Mentoring junior data scientists and collaborating with data engineers are key expectations.

Qualifications

• 10–15 years of data science or related experience.
• Master's or PhD in a quantitative field.
• Advanced proficiency with Python, R, or Julia.
• Expert knowledge of ML algorithms and predictive modeling.
• Strong SQL and data management skills.
• Experience deploying ML models into production.
• Strong communication and collaboration skills.

Responsibilities

• Lead advanced analytics, ML, and predictive modeling initiatives.
• Develop and deploy machine learning models to production.
• Apply deep learning, ensemble methods, and neural networks.
• Perform feature engineering and model optimization.
• Design and analyze A/B tests and experiments.
• Create dashboards and visualizations using Power BI/Tableau/Python.
• Collaborate with data engineering and IT teams for data integration.
• Mentor junior data scientists and define DS strategy.

Skills

Data Science

Machine Learning

Statistical Analysis

Problem Solving

Communication

Education

Master's degree or Ph.D. in Computer Science/Statistics/Mathematics/Engineering

Tools

Python

R

SQL

Power BI

Tableau

Spark

Hadoop

Job description

4pconsultinginc, on behalf of Alabama Power, seeks a Data Scientist III to lead advanced analytics, ML, predictive modeling, and data-driven decision support initiatives in Birmingham, AL.

The ideal candidate will have deep expertise in Python, ML, SQL, data visualization, and model deployment, with the ability to translate complex findings into business recommendations. Mentoring junior data scientists and collaborating with data engineers are key expectations.