Job Description

Data Scientist 3

Location: Birmingham, AL 35203

Client- Alabama Power

Contract- 1 Year

We are seeking an experienced Data Scientist (Level 3) with 5–10 years of advanced data analytics experience to join our team. This role requires a strong foundation in statistics, machine learning, and data engineering. The successful candidate will leverage big data tools, programming expertise, and statistical modeling to develop insights and support critical decision-making in the utilities industry.

Key Responsibilities

• Data Wrangling & Exploration

  • Acquire, clean, and process large, complex datasets from multiple sources, including smart meters, grid sensors, customer systems, and financial platforms.

  • Explore data for anomalies, trends, and correlations to support operational, engineering, and business use cases.

• Model Development

  • Build, validate, and deploy machine learning and statistical models for applications such as predictive maintenance, outage prediction, customer load forecasting, and energy demand analysis.

  • Evaluate and apply appropriate ML algorithms including regression, classification, clustering, and time-series forecasting.

• Visualization & Reporting

  • Develop intuitive data visualizations and dashboards using tools like Power BI, Tableau, or Python libraries (Matplotlib, Seaborn, Plotly).

  • Translate complex results into clear business insights for engineering, operations, and leadership teams.

• Big Data & Advanced Analytics

  • Utilize big data frameworks such as Spark, Hadoop, or Databricks to process and analyze large-scale structured and unstructured datasets.

  • Support integration of analytics into operational systems, ensuring scalability and performance.

• Collaboration

  • Partner with cross-functional stakeholders in grid operations, transmission, distribution, and customer solutions to identify high-value data science opportunities.

  • Work closely with data engineers, business analysts, and domain experts to align models with business and regulatory needs.

Experience:

• • 5–10 years of applied data science experience in an enterprise setting.

  • Proven success in designing, deploying, and scaling advanced analytics models.

  • Utilities or energy-sector experience strongly preferred (e.g., transmission, distribution, smart grid, AMI/MDM, renewable integration).

• Technical Skills:

  • Proficient in Python or R (statistical programming).

  • Strong statistical knowledge and experience applying the scientific method

  • Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

  • Skilled in SQL and database querying.

  • Experience with big data tools (Spark, Hadoop, Databricks) is highly desirable.

  • Familiarity with cloud platforms (Azure, AWS, or GCP).

• Soft Skills:

  • Strong problem-solving and analytical abilities.

  • Ability to present technical findings to non-technical stakeholders.

  • Self-motivated, with capacity to work independently and collaboratively.

Work Environment

• Hybrid work arrangement with periodic travel to company sites, data centers, or field locations.

• Must be able to balance multiple concurrent projects in a fast-paced, results-driven environment.