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Data Scientist III
Republic Services
Phoenix, USA
Full-time
Onsite
Discovered 1 weeks ago
PythonSQLStatistical modelingMachine learningArtificial intelligenceGenerative AI
Free
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PythonSQLStatistical modeling
Role Overview
Independently design, develop, and deliver AI, advanced analytics, and machine learning solutions that affect business outcomes.
Own complex data science initiatives end to end, from translating ambiguous problems into analytical approaches through production deployment and performance monitoring.
Serve as a technical leader, mentor to junior data scientists, and analytical partner to business stakeholders.
Key Skills for This Role
PythonSQLStatistical modelingMachine learningArtificial intelligenceGenerative AI
Full Job Posting
Position Summary
Independently design, develop, and deliver AI, advanced analytics, and machine learning solutions that affect business outcomes.
Own complex data science initiatives end to end, from translating ambiguous problems into analytical approaches through production deployment and performance monitoring.
Serve as a technical leader, mentor to junior data scientists, and analytical partner to business stakeholders.
Principal Responsibilities
- Design and build advanced statistical, predictive, machine learning, and AI models using appropriate evaluation metrics and diagnostics.
- Develop model monitoring and diagnostics approaches, resolving issues such as data limitations, bias, drift, prompt engineering, semantic retrieval, and hallucination detection.
- Investigate model structures, assumptions, and analytical techniques for real-world business problems.
- Partner with stakeholders to apply analytics to new problems and unlock value from internal and external data.
- Present clear analyses, insights, recommendations, and tradeoffs to technical and non-technical audiences.
- Relate operational, commercial, financial, and performance metrics to analytics solutions.
- Mentor data scientists and technical teams on modeling, architecture, and problem solving.
- Build reusable AI and analytical components and support production deployment with engineering, data, and product teams.
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