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Data Scientist 3 4P/298
2 weeks ago
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
- 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
- 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
