Data Scientist

Flint Meadows Corp.

Denver (CO)

Presencial

USD 100 000 - 140 000

Tempo integral

Há 12 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Health insurance
Retirement plans
Professional development

Resumo da oferta

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.

Qualificações

  • 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

Responsabilidades

  • 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

Conhecimentos

Python
R
SQL
Machine learning
Communication

Formação académica

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

Descrição da oferta de emprego

Flint Meadows Corp. seeks a Data Scientist to join our team in Denver, CO. This full-time position offers a negotiable salary and is open until November 23, 2026.

As a Data Scientist, you will analyze complex data sets to identify trends and patterns, develop predictive models, and create data visualizations to communicate insights.

You will work closely with software engineers and business analysts in a modern office environment in Denver, CO. This collaboration will involve regular meetings, brainstorming sessions, and joint problem-solving to ensure that software solutions align with business needs. You'll participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives, fostering a culture of continuous improvement and innovation. The office is equipped with state-of-the-art technology, including high-speed internet, ergonomic furniture, and collaborative spaces designed to enhance productivity and creativity. You'll have access to various resources and tools to support your work, and you'll be encouraged to share your ideas and insights with your team.

The salary for this position is negotiable, taking into account the candidate's experience, skills, and the specific requirements of the role. In addition to the base salary, the company offers a comprehensive benefits package that includes health insurance to cover medical expenses, retirement plans to help employees save for their future, and professional development opportunities to support their career growth and advancement. These benefits are designed to attract and retain top talent, ensuring that employees feel valued and supported in their roles.

You must have a Master's degree in Data Science, Statistics, or a related field, along with 3+ years of experience in data analysis and machine learning.

  • Develop and implement data-driven strategies to improve our 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
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • 2+ years of experience in data science or a related role
  • Proficiency in Python, R, and SQL
  • Experience with machine learning and statistical modeling
  • Strong communication and problem-solving skills
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