Sr. Data Scientist

Position Description:As a Data Sr. Scientist at Zoro, you’ll apply your expertise in machine learning, statistical modeling, and data analysis to solve a variety of business challenges. From forecasting and customer segmentation to improving onsite search and recommendations, our team directly enhances our customers' experiences and informs critical business decisions. At Zoro, every day brings new challenges and opportunities to innovate.

Duties and 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.
• 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.
• Mentor and guide junior data scientists on algorithms, coding best practices, and other technical concepts.
• Document code and data science processes that are critical to the company and develop strategies to ensure those processes are robust and fault-tolerant.
• Communicate findings to business leaders and colleagues using data visualizations, presentations and reports.

Minimum Qualifications:

• 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
• 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.
• Demonstrated ability to assist business decision-making through data mining and machine learning.
• 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.).
• 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. 

Preferred Qualifications:

• Experience using data science or advanced analytics in an Internet retailer or a top-tier consumer-focused company.
• Experience using containerization tools like Docker and Kubernetes in production environments.
• Experience using orchestration tools such as Airflow or Kubeflow for production workloads.
• Knowledge of web tracking technology and web analytics tools (Google Analytics, Adobe Analytics, etc.) a definite plus.
• Master’s degree preferred in quantitative fields such as Statistics, Data Science, Computer Science, etc.
• Familiarity with BI tools such as Tableau or Looker, and ability to communicate results to business partners.