4P Consulting
4P Consulting

60 4P Consulting Data Scientist Jobs Hiring Near You

Data Scientist II Experience Level: 5-10 Years Location: Atlanta, GA Contract- 1 Year Client- Southern Company Position Overview The Data Scientist II is responsible for leveraging large and complex ...

Data Scientist II Experience Level: 5-10 Years Location: Atlanta, GA Contract- 1 Year Client- Southern Company Position Overview The Data Scientist II is responsible for leveraging large and complex ...

Contract-1.5 Year Job Overview: 4P Consulting is seeking a GIS Technician with 2-4 years of experience in Geographic Information Systems (GIS) to support data management, mapping, and routine GIS ...

Data Scientist (5-10 Years Experience) Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data ...

Contract-1.5 Year Job Overview: 4P Consulting is seeking a GIS Technician with 2-4 years of experience in Geographic Information Systems (GIS) to support data management, mapping, and routine GIS ...

Data Scientist (5-10 Years Experience) Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data ...

4P Consulting Inc. is seeking a skilled Financial Analyst to join our team in Birmingham, AL. The ... Gather and analyze financial data such as budgets, income statement forecasts, and other relevant ...

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Data Scientist II 4P/573

4P Consulting Inc.

Atlanta, GA • On-site

Contractor

Re-posted yesterday


Job description

Data Scientist II

Experience Level: 5–10 Years
Location: Atlanta, GA
Contract- 1 Year

Client- Southern Company


Position Overview

The Data Scientist II is responsible for leveraging large and complex datasets to uncover insights, develop predictive models, and drive data-informed decision-making across the organization.

This role requires strong expertise in advanced analytics, machine learning, statistical modeling, and data engineering principles. The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members.


Key ResponsibilitiesData Analysis & Insight Generation
  • Collect, clean, and analyze complex datasets

  • Identify trends, patterns, and actionable insights

  • Apply statistical techniques to support data-driven decisions

Predictive Modeling & Machine Learning
  • Develop and deploy machine learning models to predict future trends and outcomes

  • Apply regression, clustering, classification, and advanced modeling techniques

  • Build and optimize algorithms such as:

    • Decision Trees

    • Random Forests

    • Neural Networks

    • Gradient Boosting models

Feature Engineering & Model Optimization
  • Engineer and select relevant features to improve model performance

  • Fine-tune model parameters and validate predictive accuracy

  • Ensure models are scalable and production-ready

Model Deployment & Production Support
  • Deploy machine learning models into production environments

  • Support real-time decision-making applications

  • Monitor model performance and retrain as needed

Data Visualization & Communication
  • Develop dashboards and visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, etc.)

  • Communicate insights effectively to technical and non-technical stakeholders

Hypothesis Testing & Experimentation
  • Design and analyze A/B tests

  • Conduct hypothesis testing and provide statistical validation

  • Measure business impact of changes and enhancements

Data Integration & Collaboration
  • Collaborate with IT and database teams to access and integrate data sources

  • Work with cross-functional teams (engineering, business analysts, domain experts)

  • Align data science initiatives with strategic business objectives

Governance & Ethics
  • Ensure ethical data practices and compliance with data privacy regulations

  • Maintain documentation and transparency in model development

Leadership & Development
  • Mentor junior data scientists and analysts

  • Contribute to best practices and data science methodologies

  • Stay current with emerging tools, technologies, and industry trends


Required Qualifications
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field

  • 5–10 years of experience in data science, machine learning, and statistical analysis

  • Proficiency in Python, R, or Julia

  • Strong understanding of machine learning algorithms and their applications

  • Experience with SQL and database querying

  • Experience with data visualization tools (Tableau, Power BI, or Python libraries)

  • Strong analytical, problem-solving, and critical-thinking skills

  • Excellent written and verbal communication skills


Preferred Qualifications
  • Master’s or Ph.D. in a quantitative field

  • Experience with big data technologies (Hadoop, Spark)

  • Experience with distributed computing frameworks

  • Experience deploying models in cloud environments

Employment Type: CONTRACTOR