πUnited States
Data Science Engineer
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Third Eye Software
π΅ $114k-$156k
πRemote - United States
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Summary
Join Third Eye Software as a Data Science Engineer consultant for a long-term, fully remote contract opportunity. This mid-senior level role involves solving complex business problems using advanced analytics and machine learning with large datasets. You will develop predictive models and communicate insights to business leaders. The position requires proficiency in Python and SQL, experience with Google Cloud Platform, and a strong understanding of statistical modeling and machine learning. The hourly compensation ranges from $55-75/hr, and benefits include comprehensive medical/dental/vision insurance, a 401k option, profit sharing, professional development opportunities, and employer-provided equipment.
Requirements
- Reside within the continental US while working
- Work standard Eastern Time business hours (full-time)
- Be exclusively dedicated to this role (no other simultaneous job engagements are permitted)
- Possess a Degree in Computer Science, Data Science, Statistics, or a related field
- Have 4+ years of experience in data science, machine learning, GenAI, NLP, or related areas
- Be proficient in Python and SQL, with strong experience using Google Cloud Platform (Vertex AI, BigQuery)
- Have hands-on experience with data orchestration tools (such as Airflow, Dataflow)
- Possess a strong understanding of statistical modeling and machine learning techniques
- Possess a strong understanding of deploying, monitoring, and tuning statistical and machine learning models
- Be able to work independently and effectively communicate complex concepts to various stakeholders
Responsibilities
- Solve complex business problems through advanced analytics and machine learning
- Work with large datasets
- Develop predictive models
- Communicate actionable insights to business leaders
Benefits
- Comprehensive medical / dental / vision insurance options (50% employer-paid premiums)
- 401K option (after 1 year of employment)
- Profit sharing
- Professional development and training opportunities
- Fully remote / Employer-provided equipment
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