Agile Methodologies and Coaching • Design • Development • Devops & Cloud • Data Science & Analytics
14 hours ago
Agile Methodologies and Coaching • Design • Development • Devops & Cloud • Data Science & Analytics
• Develop and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges. • Collaborate with business units and IT teams to define data science projects that support the IRS's strategic objectives. • Manage the data science project lifecycle, including data exploration, model development, validation, and deployment. • Ensure the accuracy and integrity of data used in analysis and modeling. • Communicate complex data science concepts and findings to non-technical stakeholders through clear and actionable reports and presentations. • Contribute to a culture of innovation and continuous learning.
• US Citizenship. • Active clearance at the Public Trust level or higher. • IRS clearance preferred. • Bachelor’s degree preferred or equivalent experience. • 5+ years of overall experience in the field of data science, with a proven track record in predictive modeling or a similar analytical role. • 3+ years of hands-on experience in data science, focusing on the design and construction of data science models and the development of their deployment pipelines. • Demonstrated expertise in machine learning algorithms and statistical modeling techniques. • Experience with data visualization tools (e.g., Tableau, PowerBI) and big data technologies (Hadoop, Spark). • Solid understanding of GitLab for version control and experience with developing and applying GitHub branching strategies. • Excellent communication skills, with a track record of delivering data-driven projects. • Strong analytical skills, with experience in analytics and exploratory data analysis. • Experience in delivering data pipelines, with an emphasis on quality, efficiency, and scalability.
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