Position Description:
Our Sr. Data Scientists are key contributors to the development of Zoro’s customer, product, eCommerce, and pricing plans. The Data Science team covers a broad scope of projects including customer segmentation, A/B testing, marketing investment optimization, predictive modeling, promotion forecasting, and pricing analysis. We are closely integrated with our business leaders and support their ability to make critical decisions. At Zoro, you will be challenged by new questions every day.

Duties and Responsibilities: 

• Lead data science projects from beginning to end: develop and refine the idea, create a project plan and methodology, collaborate with business partners, execute and provide recommendations for the company.
• Collaborate with other data scientists to develop and implement algorithms, write code, evaluate relevant academic research and deliver outputs.
• Advise the company about tools, data sources and best practices to facilitate digital marketing, pricing and web analytics.
• Build predictive and inference models using Python to support business initiatives in the areas of customer acquisition, activation, engagement, retention or channel investment optimization.
• 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 written means.

Minimum Qualifications:

• 5+ years of progressive experience leading data science projects that have a direct impact on a company’s objectives.
• 5+ years of experience utilizing data mining techniques, ML models to assist business decision making. Hands-on experience with deep learning frameworks and strong knowledge of statistical, causal inference methods, parametric models, planning experiments and hypothesis testing.
• Demonstrated ability to assist business decision-making through data mining and machine learning.
• 5+ years of experience utilizing Python to work with large, varied datasets, developing and deploying predictive models on various computing environments.
• 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 project plans and solve them by analyzing large amounts of data.
• 5+ years of experience in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc.).
• Domain knowledge and experience in building models for marketing. Specifically, experience with customer 360 views, customer retention efforts, evaluating marketing channels and campaigns.

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 Data Science, Statistics, Engineering, Operational Research or Economics
• Familiarity with BI tools such as Tableau or Looker, and ability to communicate results to business partners