Data Scientist 3

2 weeks ago

Vestavia Hills, AL, United States 4P Consulting Inc Full time
Data Scientist 3

Location: Birmingham, AL 35203

Client- Alabama Power

Contract- 1 Year
Job Summary

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.

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