Data Scientist
LightFeather
πRemote - Worldwide
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Job highlights
Summary
Join LightFeather's dynamic team as a Data Scientist and leverage your expertise to drive data science initiatives. This full-time, remote position requires developing and deploying predictive models, collaborating with various teams, and managing the data science project lifecycle. You will ensure data accuracy, communicate findings to stakeholders, and contribute to a culture of innovation. The ideal candidate possesses extensive experience in data science, proven expertise in machine learning, and strong communication and analytical skills. LightFeather offers a chance to work on impactful solutions and be part of a diverse and inclusive environment.
Requirements
- US Citizenship
- Active clearance at the Public Trust level or higher
- 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
- Bachelorβs degree
- IRS clearance
Benefits
This Position is Full Time, Remote
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