Veho
Staff Data Scientist - Forecasting
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About Veho
Veho’s mission is to power the future of commerce by making shopping, shipping and returns seamless for everyone.
We are building a modern, end-to-end logistics infrastructure designed entirely for the ever-evolving needs of ecommerce brands and everyday consumers.
Powered by next-generation technology and a vertically integrated supply chain, Veho gives brands and their customers unprecedented control over their deliveries and removes the pain from the ecommerce post-purchase experience. We make delivery the ‘extension of the brand’ and leverage it to create deeper loyalty and trust between brands and their customers, driving customer retention and lifetime value. Our rapidly growing client list includes leading consumer brands like Hello Fresh, Zara, Macy’s, Sephora, and more.
To truly build an iconic company, we strongly believe that our people and values must be aligned with our mission. As such, we take pride in our championship team, merit-based culture. We seek team players who want to compete, win, make an impact and build a legacy, and we reward performance and impact players with generous equity and incredible career growth opportunities.
About The Role:
As a Staff Data Scientist for Forecasting, you will be the technical leader responsible for building and owning the sophisticated models that power Veho's Sales and Operations Planning (S&OP) process. Your forecasts will be the backbone of our strategic and operational decision-making across our network: it ensures we understand what volume we should expect in our network, how it will flow from injection to delivery, and where our bottlenecks will be.
You’ll be directly embedded in a team of talented software and data engineers and partner closely with leaders in Operations, Finance, and Product to translate their business challenges into scalable forecasting solutions. You will be responsible for operationalizing the models you build in the production systems that drive Veho's growth and efficiency.
What you’ll do:
- Create the forecasting algorithms that drive our Sales &Operations Planning process.
- Building reliable, efficient, and scalable models for our AI/ML capabilities
- Creating robust data pipelines to feed analyses and models
- Analyze and evaluate the impact and effectiveness of models in production systems
- Driving science roadmap for forecasting for Veho alongside cross-functional partners.
- Leverage AI-native development workflows and tooling (Claude Code, Cursor, Copilot, etc.) to accelerate throughput
- Mentor other Data Scientists and drive team-wide improvements to our data science practices.
What You Bring:
- Bachelor’s Degree plus 8 years of experience in Data Science, Data Engineering or a similar degree, or Master’s Degree plus 5 years of experience, or Phd plus 3 years of experience
- Deep expertise in a variety of time series forecasting methods (e.g., ARIMA, Prophet, exponential smoothing, LSTMs, Transformer-based models) and a strong understanding of their theoretical underpinnings.
- Experience in developing and testing forecasting systems in a supply chain context, combining statistical forecasting with human inputs. Experience building and operationalizing forecasting models for S&OP, demand planning, inventory management, or similar business processes.
- Experience leading complex, end-to-end machine learning and data science projects from conception to production.
- Experience developing both greenfield systems and building on top of existing systems.
- Experience leading projects in collaboration with Operations, Product, Engineering teams.
- Strong ability to use AI to accelerate model iteration and testing
- Strong Python and SQL skills, to develop production applications
- Experience with MLOps and model deployment pipelines
- Experience in supply chain is a strong plus.
- Experience with combinatorial optimization methods is nice to have but not required
Compensation:
$190,000-$232,000 annually
The pay range is subject to the discretion of the Company. Additionally, Veho offers a competitive equity package, comprehensive medical, dental, and vision coverage as well as other benefits such as 401k and unlimited PTO for exempt-level roles.
Veho is an equal opportunity employer and does not discriminate on the basis of citizenship status, national origin, or any other protected characteristic.
Candidates requiring H-1B transfer sponsorship will be considered for this role. Current valid H-1B status required.
Veho is a growth company that looks for team members to grow with it. No matter the location, or the role, every Veho teammate shares one galvanizing mission: driving commerce forward with a customer-centric delivery and returns experience that’s built for the modern era. We are deeply value-driven (Team Up, Drive Impact, Take Ownership, Solve Bigger, Obsess Over Experience, Make Today Count) and care tremendously about investing in our high-performers.
Join us in building the future of ecommerce logistics and in doing the work of our lifetime!
All California applicants please reference our California Applicant Privacy Notice located here.
Veho Boulder, Colorado, USA Office
Boulder, CO, United States, 80302
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
