Data Scientist

| Greater Denver Area
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About Skupos

Founded in 2016 and headquartered in San Francisco, our mission is to bring the convenience store industry into the digital age by making it easy for everyone to manage, explore, and understand the data that drives their operations.

Skupos is the data hub for the convenience retail industry. Retailers, distributors, and brands all convene on the Skupos platform to create value from previously disparate and hard-to-obtain data. We build tools with this data to help each cohort of our industry succeed in their roles. For distributors and CPG brands, we provide real-time insight into customer inventory and market basket data.

Skupos is seeking a Data Scientist to join our growing data science team. Because Skupos is such a data-driven company, our data scientists play a central role in the product development process by uncovering key insights from our data. Our team is growing rapidly, and we’re looking to continue to add a data scientist who will help us scale. As a Data Scientist, you'll work closely with a highly driven data science team in devising appropriate measurements and metrics, designing randomized controlled experiments, building visualizations, and tackling hard, open-ended problems. Skupos has a wide range of rich data, giving you and team ample room for exploration and creativity. The Data Science team will also work on developing tools and infrastructure to scale and automate the analyses that enable rapid product iteration.

Responsibilities

  • You will work on technical development of innovative products
  • Identify opportunities to impact Skupos's product strategy with data science insights
  • Partner with teams such as Product Management, Engineering, and Design to collaborate on initiatives across the company
  • Work with the product and data science management team to develop new initiatives and improve existing processes across the entire Product and Data Science organization
  • Assess the validity and rigor of new data sources and approaches, establishing scalable frameworks for ongoing evaluation as appropriate

What we’re looking for

  • 4+ years of hands-on technical experience in a data science role or equivalent
  • Excellent statistical intuition and knowledge of various analytical approaches
  • Understanding of tools and infrastructure needed to support data science efforts
  • Track record of guiding teams through unstructured technical problems to deliver business impact
  • Skilled at running cross-functional relationships and communicating with leadership across multiple organizations
  • Experience with R or Python leveraging large (TB) datasets with machine learning techniques
  • Masters or PhD in a quantitative field such as Computer Science, Engineering, Statistics, Economics or equivalent experience

Desired Skills

  • Knowledge in causal inference, including leveraging observational data and addressing challenges from incomplete data
  • Domain knowledge/experience in retail analytics

What we offer

Competitive salary

Healthcare benefits

401K

Commuter benefits

Major role in a strong, small and growing development team

Be a part of a key platform of product offerings to the retail convenience store industry

What are your goals and aspirations? Build your technical skills, business acumen, and leadership with Skupos.

Responsibilities

  • You will work on technical development of innovative products
  • Identify opportunities to impact Skupos's product strategy with data science insights
  • Partner with teams such as Product Management, Engineering, and Design to collaborate on initiatives across the company
  • Work with the product and data science management team to develop new initiatives and improve existing processes across the entire Product and Data Science organization
  • Assess the validity and rigor of new data sources and approaches, establishing scalable frameworks for ongoing evaluation as appropriate

What we’re looking for

  • 4+ years of hands-on technical experience in a data science role or equivalent
  • Excellent statistical intuition and knowledge of various analytical approaches
  • Understanding of tools and infrastructure needed to support data science efforts
  • Track record of guiding teams through unstructured technical problems to deliver business impact
  • Skilled at running cross-functional relationships and communicating with leadership across multiple organizations
  • Experience with R or Python leveraging large (TB) datasets with machine learning techniques
  • Masters or PhD in a quantitative field such as Computer Science, Engineering, Statistics, Economics or equivalent experience

Desired Skills

  • Knowledge in causal inference, including leveraging observational data and addressing challenges from incomplete data
  • Domain knowledge/experience in retail analytics

What we offer

Competitive salary

Healthcare benefits

401K

Commuter benefits

Major role in a strong, small and growing development team

Be a part of a key platform of product offerings to the retail convenience store industry

What are your goals and aspirations? Build your technical skills, business acumen, and leadership with Skupos.

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Location

Skupos is in the heart of Downtown Downtown only a few blocks away from Union Station with a beautiful view of the Rocky Mountains!

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