About Skupos
Skupos is the data platform for the convenience retail industry. Retailers, distributors, and brands connect to the Skupos network to create value from disparate data. Convenience retail is a long-standing industry with limited technology adoption, but is responsible for more revenue annually than all of e-commerce in the United States. Skupos leverages our massive datasets to build tools that help the industry succeed.
Skupos software integrates at a retailer’s point of sale, generates analytical insights, and automates the inventory and ordering process. For distributors and CPG brands, we provide real-time visibility into consumer purchasing decisions and enable automated promotional discounts at the point of sale. We view our company as revolutionizing a brick-and-mortar industry by bringing cutting-edge technology to physical stores, and helping harness data to create a frictionless connection between millions of people and the products they need.
What You Will Do
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.
What You Get To Do
- Drive technical development and project management of innovative products
- Identify opportunities to impact Skupos 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 You Should Have
- 3+ 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
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.
What You Get To Do
- Drive technical development and project management of innovative products
- Identify opportunities to impact Skupos 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 You Should Have
- 3+ 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
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.