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 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
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