Data Scientist I (Remote)

Kohl's

Kohl's seeks to empower its data science team to tackle business challenges related to price optimization. The role involves promoting data-driven decision-making and collaborating with cross-functional teams to implement effective analytical solutions.

In this role you can expect to have the responsibilities:

• Assist in cleaning and preprocessing large datasets to uncover key patterns.
• Conduct exploratory data analysis to extract actionable insights.
• Collaborate with stakeholders on technical solutions for business requirements.
• Develop and implement statistical and machine learning models.
• Work with senior data scientists to optimize and ensure model scalability.
• Document project details including data processing and analytical metrics.
• Drive continuous improvement of important business metrics.
• Stay current with trends in data science and technology.
• Perform additional tasks as assigned.

This role requires you to have:

• Experience with machine learning, statistical methods, and optimization.
• Proficiency in Python, R, Spark, SQL, and GCP.
• Problem-solving skills with a focus on product development.
• Ability to propose and test new strategies rapidly.
• Effective communication and collaboration.
• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
• 2+ years of experience in data science or analytics.

You would benefit from having:

• Master’s degree.
• Retail experience.
• Knowledge of causal inference and modeling techniques.
• Understanding of econometrics and price elasticity.
• Experience with live production models.