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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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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Data Scientist 3 (IT) 4P/367 in birmingham at Unknown Company
This position is listed as contract and hybrid.