Jobs

Job Title: Data Scientist
Location: Remote
Team: PIM Optimization

Job Description

We are seeking a highly motivated and experienced Data Scientist to join our analytics and optimization team. In this role, you will bring tremendous innovation to the retail industry by building and delivering the next generation of transformative price management solutions. You should demonstrate the ability to model and analyze large-scale datasets and exhibit strong systematic thinking and detail-oriented skills to assure the integrity of various solutions. You will support the development, implementation, and maintenance of pricing optimization solutions using Python, SQL, and applied statistical techniques. The ideal candidate will be able to independently analyze data, interpret business problems, and build scalable tools and workflows to support pricing decisions. You will work closely with cross-functional teams to design scalable solutions, interpret complex data, and deliver impactful recommendations.

Key Responsibilities

• Develop and deploy models and algorithms for data analysis, price image analysis, and optimization.
• Conduct end-to-end data analysis, including data analysis, transformation, and performance evaluation.
• Lead ongoing development and maintenance of optimization pipelines, including coding in Python, testing outputs, and debugging issues.
• Evaluate the effectiveness of deployed solutions using updated data and provide insights and recommendations as business needs evolve.
• Proactively analyze new business questions, conduct research and exploratory data analysis, and implement tailored solutions.
• Engage with cross-functional team members (e.g., ETL, Backend) to translate business requirements into robust, production-ready solutions and ensure system integration.
• Effective collaboration with the APP team to incorporate newly developed features into the client-facing tool.
• Document methodologies, assumptions, and results for both internal knowledge sharing and non-technical stakeholders.

Qualifications

• Advanced degree (M.S. or Ph.D.) in Engineering, Math, Finance, Computer Science, Physics or equivalent industry experience as a project leader
• 3+ years of experience in large-scale data analysis and modeling
• Strong proficiency in Python, including experience with libraries such as Pandas, NumPy, Scikit-learn.
• Experience writing efficient SQL queries and working with large relational databases.
• Solid understanding of statistical inference, predictive modeling, and data visualization principles.
• Strong communication skills with the ability to explain technical concepts clearly.
• Excellent problem-solving skills and critical thinking; ability to derive actionable insights from complex data.
• Ability to work independently, manage multiple priorities, and thrive in a fast-paced team environment.