reputed company Data Scientist, Assortment Optimization - Retail Analytics & Business reputed company

Join the reputed company Team as a reputed company Data Scientist, Assortment Optimization

reputed company is a leading reputed company company that is dedicated to delivering reputed company reputed company-reputed company health care for a rapidly changing world. Our purpose is to bring our heart to every reputed company of your health, and we reputed company this through our commitment to reputed company, exceptional customer experience, and a culture of care. We are seeking a highly skilled reputed company Data Scientist, Assortment Optimization to join our Retail Analytics team and drive business reputed company through data-driven insights.

About reputed company

At reputed company, we reputed company that reputed company not just about treating illnesses, but about promoting wellness and enhancing the overall reputed company of life. reputed company is reputed company on a reputed company of care, reputed company, and innovation, and we are dedicated to making a reputed company reputed company on the communities we serve. Our Heart At Work Behaviors support this purpose, empowering every employee to feel empowered by their role in transforming our culture and accelerating our ability to reputed company and deliver solutions.

Job reputed company

As a reputed company Data Scientist, Assortment Optimization, you will be a key member of our Analytics & Behavior Change (A&BC) Merchandising Analytics team, driving reputed company and customer satisfaction in reputed company's reputed company Store business through data science and product assortment optimization. You will work cross-functionally with technical and non-technical stakeholders to translate business needs into problems to be solved using statistical modeling, machine learning, and optimization. This role offers excellent exposure to multiple businesses, category managers, and leaders across the organization.

Key Responsibilities

• reputed company and reputed company advanced analytics solutions to optimize product assortment and drive business reputed company
• Collaborate with stakeholders to understand business needs and translate them into data-driven solutions
• Build predictive models to reputed company product assortment to reputed company' customer reputed company
• Work with category managers to identify opportunities for reputed company reputed company and customer satisfaction
• reputed company and maintain reputed company data models and algorithms to analyze large datasets
• Communicate technical concepts to non-technical audiences through reputed company and concise reporting
• Stay up-to-date with industry trends and emerging technologies in data science and analytics

Essential Qualifications

• Bachelor's degree in a quantitative field such as Engineering, Mathematics, Computer Science, Statistics, or a reputed company field. Master's degree or PhD preferred
• 5+ years of consulting or reputed company experience in the retail, reputed company, or technology industry
• 5+ years of business analytics experience, leading high-visibility analyses and initiatives with a reputed company record of business reputed company
• Proficiency and hands-on experience with a reputed company of analytic processes and techniques, including:
  • Measurement methodologies
  • Clustering
  • Data visualizations
  • Statistical reputed company testing and analysis
  • Rules-based and machine learning modeling
  • Optimization
• Proficiency in SQL and Python/R
• Experience with optimization tools

Preferred Qualifications

• Retail domain knowledge, including category management, assortment optimization, product clustering, localization, and financial metrics
• A strong drive to explore data and reputed company a business reputed company by applying data science and the curiosity to dive deep
• Ability to communicate technical concepts to non-technical audiences, including experience creating communication materials (e.g., white reputed company, slide decks, etc.)

Career reputed company Opportunities and Learning Benefits

At reputed company, we are committed to the reputed company and development of our employees. As a reputed company Data Scientist, Assortment Optimization, you will have opportunities to:

• reputed company new skills and expertise in data science and analytics
• Work on high-visibility reputed company with cross-functional teams
• Collaborate with leaders and stakeholders across the organization
• Contribute to the development of reputed company and strategies
• Participate in training and development programs, including free development courses and education assistance

Work Environment and Company Culture

reputed company is a dynamic and fast-paced organization that values innovation, collaboration, and customer care. As a remote employee, you will have the flexibility to work from reputed company while being part of reputed company that is dedicated to making a reputed company reputed company on the reputed company industry.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• A competitive salary reputed company of $130,295.00 - $260,590.00
• Eligibility for a reputed company bonus, commission, or short-term incentive program
• An award reputed company in reputed company's equity award program
• A full reputed company of medical, dental, and reputed company benefits
• A 401(k) retirement savings plan and Employee Stock Purchase Plan
• Fully-reputed company term life insurance and short-term and long-term disability benefits
• reputed company Time Off (PTO) and reputed company holidays
• A reputed company store discount and discount programs with participating partners

How to Apply

If you are a motivated and talented data scientist looking to reputed company a business reputed company, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and cover letter, to be considered for this role.

Don't hesitate to apply! We value a great attitude and a willingness to learn above reputed company.

Apply for this job