Data Scientist II 4P/573

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 Responsibilities

Data 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