Data Scientist
Phoenix, AR, 85005
Apply now: Data Scientist III, Remote (PST Hours Required). Start date is ASAP for this 12-month contract position.
Job Title: Data Scientist III
Location-Type: Remote, PST hours required (EST candidates not eligible)
Start Date: ASAP
Duration: Contract, 12 months to start
Compensation Range: $66-80/hr on W2
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship
Job Description:
This role supports the client's data and analytics team by building, deploying, and operationalizing machine learning models, geospatial solutions, and AI-driven architectures that optimize logistics and operational outcomes.
Job Summary
Design and deploy end-to-end machine learning and AI models in cloud environments, including geospatial and route optimization use cases involving latitude and longitude data
Build and scale RAG solutions and autonomous AI agents using Generative AI and agentic architecture frameworks
Apply MLOps practices to manage the full model development lifecycle from experimentation through production deployment
Conduct advanced statistical analysis including multivariate regression, logistic regression, cluster analysis, and decision trees on large datasets
Develop and maintain analytical solutions for commercial and operational topics such as pricing optimization, customer segmentation, and logistics analytics
Collaborate with stakeholders across the organization to communicate findings, model outputs, and recommendations clearly
Embed Responsible AI principles across model development, deployment, and governance workflows
Minimum Requirements:
Master's degree in a STEM field such as Mathematics, Computer Science, Statistics, or Engineering
5 years of experience as a Data Scientist with demonstrated longevity in recent roles, no frequent job changes
4 years of experience with Python and SQL, including complex statistical analysis and machine learning model development
3 years of MLOps experience, including building, deploying, and maintaining models through a full development lifecycle
Background in GIS or geospatial analytics, with experience working with location-specific, transportation, or logistics data
Experience with at least one cloud or data platform environment, AWS, Azure, or Snowflake
Proficiency with Git for version control
Preferred Qualifications:
Hands-on experience with both Snowflake and AWS in a production environment
Experience with Generative AI tools, agentic frameworks, or LLM-based applications
Background in startup or high-growth environments with a self-starter mindset
Familiarity with route optimization or logistics-focused machine learning problems
Experience working directly with business stakeholders to translate analytical outputs into operational decisions
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