- Location
- ATLANTA, GA, USA
- Type
- Contract
- Department
- IT
- Seniority
- Senior
- Experience
- 10+ years
- Education
- PhD
- Source
- RecruiterFlow
Description
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:
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Conduct advanced statistical and machine learning analyses on large, complex data sets
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Develop and deploy predictive models using deep learning, ensemble methods, and neural networks
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Create effective data visualizations using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn)
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Lead feature engineering efforts to improve model performance
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Perform statistical testing and hypothesis validation to support business decisions
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Design, build, and optimize custom machine learning algorithms
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Collaborate with IT and data engineering to access and integrate data from varied sources
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Deploy machine learning models in production for real-time applications
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Design and analyze A/B testing experiments
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Ensure compliance with data privacy and ethical standards
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Partner with business and technical teams to align data science efforts with organizational goals
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Mentor junior data scientists and promote a data-driven culture
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Define long-term strategy for data science initiatives and innovation
Qualifications:
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Master’s or Ph.D. in a quantitative discipline
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10–15 years of experience in data science, including leadership roles
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Strong programming skills in Python, R, or Julia
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Expert in advanced machine learning and statistical modeling
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Experienced in big data ecosystems (e.g., Hadoop, Spark)
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Proficient in SQL and data wrangling techniques
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Strong communication and storytelling abilities for technical and non-technical audiences
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Deep understanding of data governance, ethics, and compliance
Preferred Tools & Technologies:
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Languages/Frameworks: Python, R, SQL, Spark
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Visualization Tools: Tableau, Power BI, Python (Matplotlib, Seaborn, Plotly)
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Big Data Technologies: Hadoop, Spark, Kafka
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Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch, XGBoost