Data Scientist I (Remote)

Lensa; Menomonee Falls (WI); Remote; USD 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a data science professional to join their dynamic team. In this role, you will collaborate with cross-functional partners to tackle business challenges through advanced data analysis and machine learning. You will be responsible for cleaning and analyzing large datasets, conducting exploratory data analysis, and developing scalable models to drive data-driven decision-making. This entry-level position offers a fantastic opportunity for growth in the IT services industry, allowing you to stay current with trends in data science while making a meaningful impact on business strategies.

Qualifications

• 2+ years of experience in data science or analytics.
• Proficiency in Python, R, SQL, and cloud platforms.

Responsibilities

• Analyze large datasets to uncover trends and insights.
• Develop and implement statistical and machine learning models.

Skills

Machine Learning

Statistical Methods

Data Analysis

Python

R

SQL

GCP

Problem-Solving

Effective Communication

Education

Bachelor’s degree in Data Science

Master’s degree

Tools

Spark

Job description

Lensa is the leading career site for job seekers at every stage of their career. Our client, Kohl's, is seeking professionals. Apply via Lensa today!

About The Role

In this role, you will work with a data science team and cross-functional partners to solve business challenges in 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 derive 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 address 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 objectives, data gathering, processing, approaches, algorithms, results, and metrics.
7. Identify and drive continuous improvement of key business metrics within the team.
8. Stay current on trends and developments in data science and technology through self-learning and training.
9. Additional tasks may be assigned.

Required Skills and Qualifications

1. Experience developing state-of-the-art algorithms using machine learning, statistical, and optimization methods to enhance complex business models.
2. Proficiency with 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 new strategies and iterating based on results.
5. Effective communication and collaboration skills.
6. Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
7. At least 2 years of progressively complex data science or analytics experience.

Preferred Qualifications

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

Additional Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industry: IT Services and IT Consulting