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Senior Data Scientist

Job in Oregon, Lucas County, Ohio, 43616, USA
Listing for: Shippo Dev
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

At Shippo, our vision is bold and clear:
we are the shipping layer of the internet. Our mission is to make every merchant successful through excellent shipping,delivering world-class logistics technology and infrastructure. We’re building the backbone of global e-commerce — connecting merchants to carriers worldwide through a single API and intuitive dashboard.

As a remote-first and globally distributed team , we believe flexibility fuels trust, autonomy, and performance. Our diverse perspectives — across continents, cultures, and time zones — drive our innovation and enable us to build solutions used by businesses everywhere. We invest in modern, scalable technology so our teams can build, ship, and iterate with confidence.

Your impact starts here: every person at Shippo plays a direct role in shaping the infrastructure that powers global commerce and makes shipping simpler for businesses around the world.

How we will deliver success together:

As a Senior Data Scientist, you will be a strategic leader in driving our data product strategy and establishing best practices across the organization. You will leverage deep analytical expertise and technical leadership to transform complex business challenges into innovative, scalable data solutions. You will lead the discovery and development of high-impact data products, working closely with Product, Engineering, and Business leadership to define roadmaps and drive company-wide initiatives.

Your strategic thinking and mentorship will elevate the capabilities of partner teams and shape the direction of our data science practice.

You excel at navigating ambiguity and complexity, defining strategic priorities, and leading projects that span multiple teams and business areas. Your proven ability to independently architect solutions, influence stakeholders at all levels, and deliver measurable business impact will be critical to your success. As a senior member of the team, you will mentor junior data scientists and contribute to building a world-class data science culture.

  • Strategic Product Research: Lead comprehensive analyses of shipping data to identify and prioritize high-value opportunities for new product features and strategic initiatives. Drive deep investigations into carrier performance, delivery optimization, cost reduction strategies, and user behavior patterns to shape product strategy. Design and execute sophisticated analytical frameworks to assess market opportunities, competitive positioning, and product-market fit. Own the end-to-end research process, from hypothesis generation to implementation roadmap, and effectively communicate strategic recommendations to leadership.
  • Machine Learning Development: Develop advanced machine learning prototypes and proof-of-concepts that validate new features and establish technical feasibility, such as intelligent routing algorithms, dynamic pricing models, or predictive analytics capabilities. Create well-documented, production-ready code and models that can be seamlessly handed off to engineering teams for scaling and deployment.
  • Statistical Analysis: Design A/B testing and other experimental frameworks by applying inferential statistical techniques to measure the impact of product changes. Interpret results with statistical rigor, ensuring confidence in findings. Provide recommendations based on insights, helping stakeholders make informed decisions on product optimizations and new initiatives.
  • Technical Leadership & Mentorship: Provide technical guidance and mentorship to junior and mid-level data scientists, fostering their professional growth and analytical capabilities. Lead cross-functional initiatives that require coordination across Data Science, Engineering, Product, and Business teams. Contribute to the development of data science best practices, tools, and frameworks that enhance team productivity and impact. Champion data-driven culture and literacy across the organization through training, knowledge sharing, and stakeholder engagement.
  • Thought Leadership & Communication: Communicate complex technical concepts to diverse audiences, adapting your message for both technical and executive…
Position Requirements
10+ Years work experience
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