Data Scientist II, Supply Chain Retail Technology

The salary range for this position is $121000 - $132000 per year. The base salary offered may vary depending on location job-related knowledge skills and experience.

This is a hybrid-onsite role. Employees are expected to be in our Boston MA office Tuesdays-Thursday and work remotely Mondays and Fridays.

Who We Are

The Supply Chain Retail Technology Data Science team is dedicated to understanding and optimizing user interactions with our Supply Chain & Retail Technology suite of tools and products. SCRT Data Science is responsible for integrating analytics into the DNA of these growing tech teams unlocking the insights that will guide the business in our quest for cost-efficient perfect orders at scale with AI and data science techniques playing a crucial role in processing vast datasets and predicting optimal outcomes. We bring a multidisciplinary blend of analytical aptitude technical expertise business strategy and stakeholder management. Moreover were a highly collaborative supportive team that values learning psychological safety and intentional career development.

What Youll Do

• Own the insights that inform the SCRT product roadmap including driving outcomes within Fulfillment Transportation and Service Technology.
• Perform deep-dive analysis including the application of advanced analytical techniques and data science models to solve critical and complex business problems.
• Leverage AI-powered platforms and tools to enhance existing analytical frameworks automate data discovery identify hidden patterns and generate prescriptive recommendations accelerating the delivery of actionable insights to product and engineering teams.
• Collaborate with all facets of the organization including product management engineering and creative design to identify the most impactful ways for data and analytics to drive decision making.
• Become the subject matter expert for data analytics and testing for your area to ensure accurate and proper interpretation of core metrics and user behavior.
• Build machine learning proof-of-concepts by developing Python code to train models and visualize their outputs in order to demonstrate the art of the possible to stakeholders.
• Develop data visualizations including reports dashboards and analyses in Looker and GBQ to distribute data insights in an easily digestible manner.
• Stay abreast of the latest advancements in AI and machine learning particularly as they apply to supply chain logistics and service technology and advocate for their strategic adoption to maintain a competitive analytical edge.

What Youll Need

• Proficient knowledge of SQL and statistical programming language(s) such as Python R SAS or SPSS (Python preferred)
• Expert at conducting quantitative analyses on large and complex data sets including ability to explain techniques to both technical and non-technical stakeholders.
• Experience with experimental test design (e.g. A/B testing; Multivariate and Multi-Armed Bandit) and statistical analysis to drive business decision making.
• Experience in using AI-powered platforms to enhance and accelerate Data Science output (i.e. generating SQL and researching techniques using ChatGPT analyzing text using Gemini Pro)
• Experience with data visualization software (e.g. Google Looker Studio/Looker Tableau PowerBI).
• Experience applying data science techniques and partnering with business teams on agile model development.
• Strong written and verbal communication skills covering objectives status results and recommendations.
• Bachelors in computer science engineering math statistics economics Operations Research Industrial engineering or other quantitative discipline; Masters preferred.
• 3 years work experience in relevant field