Data Scientist 3 4P/298

Job Title: Senior Data Scientist

Experience: 10–15 Years

Location: Atlanta, Ga

Contract- 1 Year

Client Southern Company

Job Summary:

We are seeking a highly experienced and innovative Senior Data Scientist to lead the development and implementation of data-driven solutions across the organization. This strategic role is ideal for a professional with deep technical expertise, strong leadership capabilities, and a proven track record of leveraging advanced analytics and machine learning to solve complex business challenges.

Key Responsibilities:

• Conduct advanced statistical and machine learning analyses on large, complex data sets
• Develop and deploy predictive models using deep learning, ensemble methods, and neural networks
• Create effective data visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn)
• Lead feature engineering efforts to improve model performance
• Perform statistical testing and hypothesis validation to support business decisions
• Design, build, and optimize custom machine learning algorithms
• Collaborate with IT and data engineering to access and integrate data from varied sources
• Deploy machine learning models in production for real-time applications
• Design and analyze A/B testing experiments
• Ensure compliance with data privacy and ethical standards
• Partner with business and technical teams to align data science efforts with organizational goals
• Mentor junior data scientists and promote a data-driven culture
• Define long-term strategy for data science initiatives and innovation

Qualifications:

• Master’s or Ph.D. in a quantitative discipline
• 10–15 years of experience in data science, including leadership roles
• Strong programming skills in Python, R, or Julia
• Expert in advanced machine learning and statistical modeling
• Experienced in big data ecosystems (e.g., Hadoop, Spark)
• Proficient in SQL and data wrangling techniques
• Strong communication and storytelling abilities for technical and non-technical audiences
• Deep understanding of data governance, ethics, and compliance

Preferred Tools & Technologies:

• Languages/Frameworks: Python, R, SQL, Spark
• Visualization Tools: Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly)
• Big Data Technologies: Hadoop, Spark, Kafka
• Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch, XGBoost