Data Scientist I (Remote)

Kohl's

Menomonee Falls (WI)

On-site

USD 80,000 - 100,000

Full time

14 days+

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Job summary

Kohl's in Menomonee Falls is seeking a Data Scientist to collaborate with cross-functional teams, analyzing large datasets to uncover trends and insights. You will develop and implement statistical and machine learning models to optimize business outcomes.

The ideal candidate has a Bachelor's degree in Data Science or a related field, with over 2 years of experience. Skills in Python, machine learning, and excellent communication abilities are essential for success in this role.

Qualifications

  • 2+ years of progressively complex data science or analytics experience.
  • Experience in developing algorithms using machine learning and statistical methods.
  • Strong problem-solving skills with an emphasis on product development.

Responsibilities

  • Analyze large datasets to uncover trends and patterns.
  • Collaborate with stakeholders to translate business needs into technical solutions.
  • Develop and implement statistical and machine learning models.

Skills

Machine learning
Statistical analysis
Optimization methods
Programming in Python
Communication skills

Education

Bachelor's in Data Science or equivalent

Tools

Gurobi
Pyomo
CPLEX
SQL
Spark
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 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
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
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