Job Title: Data Scientist (Long-Term Contract 12 Months)
Location: REMOTE
Job Overview:
We are seeking a highly skilled and motivated Data Scientist to join the Supply Chain IT Group of a leading multinational retailer. This is a long-term contract opportunity (12 months) designed for professionals who are passionate about leveraging AI to solve complex business problems in the supply chain and IT space.
The ideal candidate will bring hands-on experience with Copilot Studio or Azure Data Studio for Data Science and Data Engineering AI assistant that helps analyze and visualize data AI and Co-Pilot tools demonstrate strong capabilities in deploying agentic AI solutions and be comfortable communicating technical concepts to both technical and non-technical stakeholders.
This is a hybrid role requiring one day per week onsite at our clients San Francisco downtown office with the flexibility to work remotely the rest of the week.
Key Responsibilities:
Collaborate with cross-functional teams within the IT and supply chain domains to understand business challenges and identify opportunities for AI-driven solutions.
Design develop and deploy AI and machine learning models tailored to optimize supply chain processes and decision-making.
Utilize AI tools and frameworks to build agentic AI systems that can automate and augment complex tasks.
Implement and manage Co-Pilot-style solutions to assist internal users with intelligent automation and data-driven decision support.
Translate complex data insights into clear actionable recommendations through compelling visualizations presentations and written reports.
Work closely with IT stakeholders to ensure smooth integration of data science solutions into existing infrastructure and workflows.
Stay updated on the latest advancements in AI machine learning and supply chain technologies to continuously enhance solution capabilities.
Required Qualifications:
Hands-on experience with Copilot Studio or Azure Data Studio for Data Science and Data Engineering AI assistant that helps analyze and visualize data
Proven experience as a Data Scientist with a strong portfolio of AI/ML projects.
Strong hands-on expertise with AI tools libraries and frameworks.
Demonstrated experience deploying agentic AI solutions (e.g. AI agents that perform autonomous decision-making or task execution).
Strong understanding and practical experience with Co-Pilot tools.
Experience in Supply Chain operations or technology
Excellent verbal and written communication skills with a proven ability to present technical findings to diverse audiences.
Comfortable working in IT-driven environments collaborating with engineers analysts and business users.
Preferred Skills:
Familiarity with cloud platforms and MLOps practices.
Background in retail or logistics data analytics.
Experience with large language models (LLMs) retrieval-augmented generation (RAG) or enterprise knowledge management tools.
Understanding of data governance security and compliance in enterprise settings
Job Title: Data Scientist (Long-Term Contract 12 Months)Location: REMOTEJob Overview:We are seeking a highly skilled and motivated Data Scientist to join the Supply Chain IT Group of a leading multinational retailer. This is a long-term contract opportunity (12 months) designed for professionals wh...
Job Title: Data Scientist (Long-Term Contract 12 Months)
Location: REMOTE
Job Overview:
We are seeking a highly skilled and motivated Data Scientist to join the Supply Chain IT Group of a leading multinational retailer. This is a long-term contract opportunity (12 months) designed for professionals who are passionate about leveraging AI to solve complex business problems in the supply chain and IT space.
The ideal candidate will bring hands-on experience with Copilot Studio or Azure Data Studio for Data Science and Data Engineering AI assistant that helps analyze and visualize data AI and Co-Pilot tools demonstrate strong capabilities in deploying agentic AI solutions and be comfortable communicating technical concepts to both technical and non-technical stakeholders.
This is a hybrid role requiring one day per week onsite at our clients San Francisco downtown office with the flexibility to work remotely the rest of the week.
Key Responsibilities:
Collaborate with cross-functional teams within the IT and supply chain domains to understand business challenges and identify opportunities for AI-driven solutions.
Design develop and deploy AI and machine learning models tailored to optimize supply chain processes and decision-making.
Utilize AI tools and frameworks to build agentic AI systems that can automate and augment complex tasks.
Implement and manage Co-Pilot-style solutions to assist internal users with intelligent automation and data-driven decision support.
Translate complex data insights into clear actionable recommendations through compelling visualizations presentations and written reports.
Work closely with IT stakeholders to ensure smooth integration of data science solutions into existing infrastructure and workflows.
Stay updated on the latest advancements in AI machine learning and supply chain technologies to continuously enhance solution capabilities.
Required Qualifications:
Hands-on experience with Copilot Studio or Azure Data Studio for Data Science and Data Engineering AI assistant that helps analyze and visualize data
Proven experience as a Data Scientist with a strong portfolio of AI/ML projects.
Strong hands-on expertise with AI tools libraries and frameworks.
Demonstrated experience deploying agentic AI solutions (e.g. AI agents that perform autonomous decision-making or task execution).
Strong understanding and practical experience with Co-Pilot tools.
Experience in Supply Chain operations or technology
Excellent verbal and written communication skills with a proven ability to present technical findings to diverse audiences.
Comfortable working in IT-driven environments collaborating with engineers analysts and business users.
Preferred Skills:
Familiarity with cloud platforms and MLOps practices.
Background in retail or logistics data analytics.
Experience with large language models (LLMs) retrieval-augmented generation (RAG) or enterprise knowledge management tools.
Understanding of data governance security and compliance in enterprise settings
View more
View less