Overview:
We are seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.
Responsibilities:
- Analyze large, complex datasets to identify trends, patterns, and actionable insights
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Develop, train, and validate machine learning and statistical models
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Design and implement experiments, including A/B testing and predictive analytics
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Collaborate with data engineers and analysts to ensure data quality and accessibility
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Communicate findings and recommendations to technical and non-technical stakeholders
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Build data visualizations and dashboards to present insights effectively
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Deploy and monitor machine learning models in production environments
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Continuously improve model performance and accuracy
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Stay current with emerging data science techniques, tools, and technologies
Qualifications:
- Active TS/SCI with Polygraph required.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
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5+ years of experience in data science or a related field
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Strong proficiency in programming languages such as Python or R
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Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
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Strong foundation in statistics, probability, and data analysis techniques
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Experience with SQL and working with large datasets
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Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
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Familiarity with cloud platforms (AWS, Azure, or GCP)