In this role you will work with a data science team and cross-functional partners to solve business challenges in the areas of merchandise and supply chain while promoting 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
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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
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
Experience building probabilistic classification models
Experience supporting and enhancing live production models
Client-provided location(s): Menomonee Falls, WI 53051, USA
Job ID: kohls-10486_KLHKUSR400338 Employment Type: Other
Perks and Benefits
Health and Wellness
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Long-Term Disability
HSA
On-Site Gym
Pet Insurance
Short-Term Disability
FSA
HSA With Employer Contribution
Mental Health Benefits
Parental Benefits
Adoption Assistance Program
Family Support Resources
On-site/Nearby Childcare
Fertility Benefits
Birth Parent or Maternity Leave
Non-Birth Parent or Paternity Leave
Adoption Leave
Work Flexibility
Flexible Work Hours
Remote Work Opportunities
Hybrid Work Opportunities
Office Life and Perks
Casual Dress
On-Site Cafeteria
Company Outings
Commuter Benefits Program
Vacation and Time Off
Paid Vacation
Paid Holidays
Personal/Sick Days
Leave of Absence
Financial and Retirement
401(K) With Company Matching
Relocation Assistance
Financial Counseling
Professional Development
Leadership Training Program
Associate or Rotational Training Program
Tuition Reimbursement
Mentor Program
Access to Online Courses
Lunch and Learns
Promote From Within
Shadowing Opportunities
Internship Program
Diversity and Inclusion
Employee Resource Groups (ERG)
Diversity, Equity, and Inclusion Program
Company Videos
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