SuperDispatch

Kansas City
51-200 employees
The smart auto transport platform. Everything carriers and shippers need to move cars faster, smarter, and easier on a single end-to-end platform.

Data Scientist

Data Scientist

Super Dispatch is looking for a skilled Data Scientist to support the Product, Engineering, and Marketplace Operations teams by building reliable prediction solutions that can help Super Dispatch customers move cars faster. As a Data Scientist, you will analyze and understand customer data, collaborate with other teams and departments, and improve existing recommendation and prediction engines. This is an exciting opportunity for an experienced data scientist to work on innovative solutions for our SaaS-enabled marketplace.

Responsibilities:

  • Build and evolve transformative, real-time marketplace pricing engines based on machine learning and reflective of dynamic market conditions
  • Improve existing recommendation or prediction engines by collaborating with key stakeholders (internal and external)
  • Develop a deep understanding of the overall business of Super Dispatch and the Auto Transport industry
  • Improve machine learning models to deliver reliable and scalable solutions
  • Collaborate with other departments and teams to improve data collection, process and error handling, and data normalization
  • Provide thought leadership on data science to Product and Engineering Teams with best practices
  • Collaborate with Marketplace Operations and Data Teams to identify and resolve issues using data science and machine learning methodologies

Candidate Profile:

  • Curious - you ask questions and are eager to learn.
  • Analytical mindset - you can structure and process data and draw insightful conclusions from it.
  • Systematic thinker - you can balance big picture strategy with details, and you have strong execution and delivery.
  • Problem solver - you have solved complex problems and have the aptitude to navigate uncharted waters.
  • Team player - you have a collaborative mindset, the ability to work with cross-functional teams, and build positive relationships with individuals across the organization.
  • Growth driven - you are willing to learn new tools and technologies to work effectively in a rapid growth environment with changing needs and requirements.
  • Self-motivated - you work independently and take initiative.

Candidate Experience:

  • 2+ years experience in a data scientist role, preferably working on a recommender system
  • 2+ years of professional experience synthesizing insights from data using Python and SQL
  • 2+ years experience with Machine Learning Frameworks (Tensorflow and/or PyTorch) and their real-world applications
  • Experience working with AWS or GCP preferred

Bonus points:

https://neptune.ai/blog/ml-engineer-vs-data-scientist

What We Do:

Our mission at Super Dispatch is to transform the world of vehicle shipping by becoming the leading platform for moving cars. For too long, the auto transport industry has been left without effective tools and instead given outdated processes and disconnected systems. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting-edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future.

Who We Are:

Our team is comprised of highly motivated professionals with a passion for solving big problems with technology. Together we've created a people-first culture where we welcome diversity of backgrounds and ideas. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe in and practice taking bold risks. We embrace failure as a lesson. We celebrate wins and milestones. We put our team and customers first. We are committed to supporting each other and helping each other grow on this journey.

Summary of Benefits:

  • Stock options
  • Unlimited vacation (PTO)
  • 12 weeks of paid parental leave
  • Gym membership/wellness stipend
  • Fully remote role
  • Growth opportunities
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