Data Scientist

Summary

Join LightFeather's dynamic team as a Data Scientist and contribute to impactful data science initiatives. This full-time, remote position requires expertise in predictive modeling, machine learning, and statistical analysis. You will collaborate with various teams, manage the data science project lifecycle, and ensure data accuracy. Excellent communication skills are essential for conveying complex findings to non-technical stakeholders. LightFeather offers a commitment to diversity and inclusion, providing a fulfilling work environment focused on mission-critical solutions.

Requirements

• US Citizenship
• Active clearance at the Public Trust level or higher
• 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

Responsibilities

• 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

Preferred Qualifications

IRS clearance

Benefits

Remote work