Data Scientist 3 4P/851

4p-Consulting-Inc.

Forest Park (GA)

On-site

USD 120,000 - 170,000

Full time

14 days+
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Job summary

Alabama Power is seeking an experienced Data Scientist III to lead advanced analytics, machine learning, predictive modeling, and data-driven decision support initiatives.

The ideal candidate will have deep expertise in Python, ML, statistical analysis, SQL, data visualization, big data technologies, and model deployment, with the ability to translate analytical findings into actionable business recommendations.

Qualifications

  • 10–15 years of data science, advanced analytics, machine learning, or related experience.
  • Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
  • Advanced proficiency with Python, R, Julia, or similar analytical programming languages.
  • Expert knowledge of machine learning algorithms and predictive modeling techniques.
  • Strong SQL and database experience.
  • Experience deploying machine learning models into production.
  • Strong statistical modeling and analytical skills.
  • Experience working with large and complex datasets.

Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Develop and deploy advanced machine learning and predictive models.
  • Apply deep learning and neural networks and other advanced analytical techniques.
  • Perform feature engineering and model optimization.
  • Conduct statistical analysis, hypothesis testing, and validation.
  • Design and analyze A/B tests and experiments.
  • Develop dashboards and data visualizations using Power BI or Tableau.
  • Collaborate with data engineering and IT teams to integrate data sources.
  • Deploy ML models into production environments.
  • Support real-time analytics and data-driven applications.
  • Develop and optimize algorithms for complex business problems.
  • Ensure data privacy, security, ethics, and regulatory compliance.
  • Collaborate with engineers, analysts, leaders, and SMEs.
  • Mentor junior data scientists and provide technical leadership.
  • Help define data science strategy and roadmaps.
  • Evaluate emerging AI and analytics technologies.

Skills

Data Science
Machine Learning
Artificial Intelligence
Predictive Modeling
Python
R
SQL
Deep Learning
Neural Networks
Statistical Analysis
Power BI
Tableau
Spark
Hadoop
Big Data
A/B Testing
Model Deployment
Data Visualization
Data Ethics
Advanced Analytics

Education

Master’s or Ph.D. in Computer Science/Statistics/Mathematics/Engineering

Tools

Power BI
Tableau
Matplotlib
Spark
Hadoop

Job description

Title:Data Scientist III
Client:Alabama Power
Location: Forest Park, GA
Contract:3 Years
Experience:10–15 Years

Job Summary

We are seeking an experiencedData Scientist IIIto lead advanced analytics, machine learning, predictive modeling, and data-driven decision support initiatives.

The ideal candidate will have deep expertise inPython, machine learning, statistical analysis, SQL, data visualization, big data technologies, and model deployment, along with the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Develop and deploy advancedmachine learning and predictive models.
  • Apply deep learning, ensemble methods, neural networks, and other advanced analytical techniques.
  • Perform feature engineering and model optimization.
  • Conduct statistical analysis, hypothesis testing, and validation.
  • Design and analyzeA/B tests and experiments.
  • Develop effective dashboards and data visualizations using Power BI, Tableau, Python, or similar tools.
  • Partner with data engineering and IT teams to integrate data from multiple sources, data lakes, and data warehouses.
  • Deploy machine learning models into production environments.
  • Support real-time analytics and data-driven business applications.
  • Develop and optimize algorithms for complex business and operational problems.
  • Ensure appropriate data privacy, security, ethics, and regulatory compliance.
  • Collaborate with engineers, analysts, business leaders, and subject matter experts.
  • Mentor junior data scientists and provide technical leadership.
  • Help define data science strategy, standards, and technology roadmaps.
  • Evaluate emerging AI, machine learning, and analytics technologies.
Required Qualifications
  • 10–15 years of data science, advanced analytics, machine learning, or related experience.
  • Master’s degree or Ph.D. inComputer Science, Statistics, Mathematics, Engineering, or another quantitative discipline.
  • Advanced proficiency withPython, R, Julia, or similar analytical programming languages.
  • Expert knowledge of machine learning algorithms and predictive modeling techniques.
  • Strong SQL and database experience.
  • Experience deploying machine learning models into production.
  • Strong statistical modeling and analytical skills.
  • Experience working with large and complex datasets.
  • Strong problem-solving and critical-thinking capabilities.
  • Excellent written and verbal communication skills.
  • Ability to communicate complex technical findings to technical and non-technical stakeholders.
Preferred Qualifications
  • Experience withPower BI, Tableau, Matplotlib, or similar visualization tools.
  • Experience with big data and distributed computing technologies such asSpark or Hadoop.
  • Deep learning and neural network experience.
  • Experience with cloud-based analytics and machine learning platforms.
  • Experience leading data science projects or mentoring technical teams.
  • Strong understanding of data ethics, privacy governance, and compliance.
  • Experience developing enterprise AI or machine learning solutions.
Key Skills

Data Science | Machine Learning | Artificial Intelligence | Predictive Modeling | Python | R | SQL | Deep Learning | Neural Networks | Statistical Analysis | Power BI | Tableau | Spark | Hadoop | Big Data | A/B Testing | Model Deployment | Data Visualization | Data Ethics | Advanced Analytics

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