Data Scientist - Retail Analytics & Predictive Modeling

Flint Meadows Corp.

Denver (CO)

On-site

USD 100,000 - 140,000

Full time

12 days ago

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Benefits offered by this job

Health insurance
Retirement plans
Professional development

Job summary

Flint Meadows Corp. in Denver, CO seeks a Data Scientist to analyze complex data sets, build predictive models, and create visualizations to communicate insights. The role collaborates with software engineers and business analysts in a modern office environment and participates in Agile ceremonies.

Salary is negotiable with a comprehensive benefits package including health insurance and retirement plans. A Master's degree in Data Science or related field and 3+ years of experience are required.

Qualifications

  • Master's degree in DS/Statistics or a related field
  • 3+ years of data analysis and machine learning experience
  • 2+ years of data science or related role

Responsibilities

  • Develop data-driven strategies to improve retail analytics
  • Build and maintain predictive models to forecast sales and inventory
  • Analyze large datasets to identify trends and patterns
  • Create visualizations and dashboards to communicate insights to stakeholders
  • Collaborate with cross-functional teams to translate business needs into data solutions
  • Proactively share insights and contribute to data strategy

Skills

Python
R
SQL
Machine learning
Communication

Education

Master's degree in Data Science/Statistics/related
Bachelor's degree in CS/Statistics/Mathematics/related

Job description

Flint Meadows Corp. in Denver, CO seeks a Data Scientist to analyze complex data sets, build predictive models, and create visualizations to communicate insights. The role collaborates with software engineers and business analysts in a modern office environment and participates in Agile ceremonies.

Salary is negotiable with a comprehensive benefits package including health insurance and retirement plans. A Master's degree in Data Science or related field and 3+ years of experience are required.

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