Zoro.com is looking to solve business challenges using machine learning, statistical modeling, and data analysis to enhance customer experiences and inform critical business decisions.
Requirements
- 5+ years of experience utilizing data mining techniques, ML models to assist business decision making. Hands-on experience with deep learning frameworks , LLMs, GenAI tools, and NLP techniques.
- Strong knowledge of statistical, causal inference methods, parametric models, and planning experiments.
- 5+ years of experience using Python to process large, diverse datasets, and develop and deploy predictive models in cloud-based environments and other computing platforms.
- 5+ years of experience in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc.).
- 2+ years of experience leveraging LLMs for data-driven applications.
- Experience in systematically evaluating model outputs for accuracy, bias, reliability, and robustness, including designing validation frameworks, conducting error analysis, and implementing continuous monitoring processes.
- Experience using containerization tools like Docker and Kubernetes in production environments.
Responsibilities
- Apply domain and industry knowledge to solve complex data science projects, developing advanced machine learning models, and driving data-driven decisions within the organization.
- Lead data science projects from start to finish by refining objectives, developing a project plan and methodology, and collaborating with business and technical teams.
- Collaborate with other data scientists to develop and implement algorithms, write code, evaluate relevant academic research to deliver final outputs.
- Apply large language models (LLMs) to solve business problems such as information extraction, classification, summarization, and natural language query handling.
- Evaluate model outputs using quantitative metrics and qualitative review.
- Write and maintain high-quality, production grade code, including unit and integration tests.
- Provide guidance on tools, practices to drive efficiency, technical debt, data sources, and best practices.
Other
- 5+ years of experience leading data science projects that have a direct impact on a company's objectives or PhD degree in quantitative fields such as Statistics, Data Science, Computer Science with 3+ years of experience
- Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions.
- Ability to translate complex business problems into actionable project plans and solve them by using data science techniques on large datasets.
- Domain knowledge and experience in building models across multiple domains.
- Must be able to work onsite at least two days a week.
