4P Consulting Inc
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
510 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: 510 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
510 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: 510 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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