Data Scientist

Southern Company•Birmingham, AL

3d•Onsite

About The Position

The Data Scientist within APC Power Delivery’s AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain.

Requirements

Master’s degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence.
Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models.
Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL.
Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms.
Experience with Azure-based ML deployment, data migration, and integration across diverse datasets.
Strong analytical skills for monitoring and troubleshooting data pipelines and solutions.
Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels.
Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling.
Self-driven learner with awareness of industry trends and emerging technologies.
Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment.
The ideal candidate will embody Southern Company’s core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate:
Innovation and results orientation
Strategic thinking with an enterprise mindset
Commitment to continuous improvement and development of others
Strong partnership-building skills
Ability to work independently and collaboratively
Decisiveness and agility
High ethical standards
Being on-site at the HQ office 4 days a week.

Nice To Haves

Familiarity with Generative AI and Large Language Models; hands-on experience is a plus.

Responsibilities

Identify and evaluate AI/ML opportunities aligned with AMI business objectives.
Stay current on emerging technologies and educate the team on their practical applications.
Develop and refine machine learning models to solve complex problems using enterprise-scale data.
Continuously adopt new tools and techniques to enhance model performance and scalability.
Architect and implement an AMI-specific AI development framework under the AMI Governance Committee.
Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management.
Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines.
Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication.
Partner with end-users to understand analytical needs and co-create data-driven solutions.
Mentor team members to foster skill development and promote a culture of continuous learning.