Data Scientist I

Kohl's; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Kohl’s is seeking a data scientist to join a data science team and partner with cross-functional teams to solve business challenges with advanced data analysis and machine learning.

You will develop, validate and deploy models, analyze large datasets, and translate business needs into technical solutions while continuously improving key metrics. Strong collaboration and communication are essential.

Qualifications

• Experience developing state-of-the-art algorithms using ML, statistical and optimization methods.
• Experience using analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP).
• Strong problem-solving skills with emphasis on product development.
• Experience proposing rapid experiments and iterating from results.
• Effective communication and collaboration skills.
• Bachelor’s of Science in Data Science, CS, Stats, Applied Math or equivalent.
• 2+ years of progressively complex data science or analytics experience.

Responsibilities

• Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations.
• Conduct exploratory data analysis to derive actionable insights.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Develop and implement statistical and machine learning models to solve business problems.
• Collaborate with senior data scientists to fine-tune and scale models.
• Document projects including objectives, data processing, methods and results.
• Identify and drive continuous improvement of key metrics.
• Stay current on data science trends through self-learning and training.
• Additional tasks may be assigned.

Skills

Machine learning algorithms

Analytics tools

Python

R

Spark

SQL

Cloud platforms (GCP)

Problem solving

Communication

Collaboration

Education

BS in Data Science, CS, Stats, Applied Math or equivalent

Master’s degree

Tools

Gurobi

Pyomo

CPLEX

Job description

Role Specific Information

Job Description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.

What You’ll Do

• Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations
• Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Develop and implement statistical and machine learning models to solve business problems within a cross-functional team
• Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms
• Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
• Identify and drive continuous improvement of key business metrics within the balanced team
• Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities
• Additional tasks may be assigned

Addendum

DECISION SCIENCE

Accountabilities

• Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates
• Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management
• Contribute to the tuning of models by adjusting objective functions, constraints, etc.

Skills & Experience

• Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc
• BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field

What Skills You Have

Required

• Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value
• Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.
• Strong problem-solving skills with an emphasis on product development
• Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results
• Effective communication and collaboration skills
• Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
• 2+ years of progressively complex data science or analytics experience

Preferred

• Master’s degree
• Retail experience
• Supply chain management
• Marketing models
• Logistics experience

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

• Ability to perform the accountabilities listed in the “What You’ll Do” Section
• Ability to comply with dress code requirements
• Basic math and reading skills, legible handwriting, and basic computer operation
• Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company
• Ability to learn and comply with all company policies, procedures, standards and guidelines
• Ability to receive, understand and proactively respond to direction from leadership and other company personnel
• Ability to work as part of a team and interact effectively and appropriately with others
• Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes
• Ability to satisfactorily complete company training programs
• Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
• Ability to plan, prioritize and monitor activities across business units
• Ability to complete or oversee the completion of assigned projects in a timely manner