Data Scientist I (Remote)

Kohl’s; Menomonee Falls (WI); Remote; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled data scientist to join their dynamic team. In this role, you will collaborate with cross-functional partners to tackle complex business challenges through advanced data analysis and machine learning. Your expertise in developing algorithms and statistical methods will be pivotal in optimizing pricing strategies and driving data-driven decision-making. This position offers a unique opportunity to work with large datasets, implement innovative solutions, and contribute to the continuous improvement of key business metrics. Join a forward-thinking company that values collaboration and innovation in the data science field.

Qualifications

• 2+ years of data science experience with a focus on analytics and machine learning.
• Strong background in statistical methods and data analysis techniques.

Responsibilities

• Analyze large datasets to uncover trends and correlations.
• Develop and implement machine learning models to solve business challenges.

Skills

Machine Learning

Statistical Methods

Data Analysis

Problem-Solving

Effective Communication

Education

Bachelor’s of Science in Data Science

Bachelor’s of Science in Computer Science

Master’s Degree

Tools

Python

R

Spark

SQL

GCP

Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges in the area of price optimization, promoting data-driven decision making with advanced data analysis, causal inference and machine learning.

What You’ll Do

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

What Skills You Have

Required

1. 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.
2. Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.
3. Strong problem-solving skills with an emphasis on product development.
4. Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results.
5. Effective communication and collaboration skills.
6. Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field.
7. 2+ years of progressively complex data science or analytics experience.

Preferred

1. Master’s degree.
2. Retail experience.
3. Experience with causal inference concepts and modeling techniques.
4. Understanding of econometrics and price elasticity modeling.
5. Experience supporting and enhancing live production models.