Staff Data Scientist (Forecasting)

• 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
• 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

Benefits

• Competitive salaries
• Meaningful equity opportunities
• Paid time off
• 401(k) retirement plan
• Medical, dental, and vision insurance
• Life insurance
• Short & long-term disability insurance
• Paid parental leave
• FSA & HSA accounts
• Wellness programs, perks, and discounts- Experience with MLOps and model deployment pipelines
• Experience developing both greenfield systems and building on top of existing systems
• 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
• Strong Python and SQL skills, to develop production applications
• Experience leading projects in collaboration with Operations, Product, Engineering teams
• Strong ability to use AI to accelerate model iteration and testing
• Experience with combinatorial optimization methods is nice to have but not required
• Experience in supply chain is a strong plus
• 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
• 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 leading complex, end-to-end machine learning and data science projects from conception to production