DATA SCIENTIST III

Job Summary

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

Responsibilities

• Develop, train, and deploy AI/ML, NLP, and LLM models into production environments, with a focus on reliability and scalability.
• Conduct exploratory data analysis, build and curate datasets, run experiments, and evaluate model performance to support data-driven decisions.
• Help integrate data science solutions into current business processes.
• Follow and contribute to process standards and best practices in Machine Learning as applicable to the retail industry.
• Collaborate with senior team members and cross-functional stakeholders to translate business problems into ML solutions.
• Continuously learn and apply the latest research, tools, and techniques in AI/ML.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Requirements

• Master s or Bachelor s degree with 2+ years of relevant experience, or a PhD in a relevant discipline. Educational qualifications should preferably be in Computer Science or a strongly quantitative discipline.
• Hands-on experience building AI/ML models.
• Good programming skills across data science, statistical analysis, and the ML stack.
• Strong communication skills with an inclination to high ownership and commitment.
• Experience with, or strong interest in, deploying AI/ML solutions to production.
• Mandatory Skills: NLP, Computer Vision, Multimodal Modelling, Python

Nice to have

• Experience building LLMs and Vision-based models.
• Scientific publications or intellectual property generation.
• Experience with the e-commerce / retail domain.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.