Staff Data Scientist – Forecasting

🕒 July 28

🏄 California – Remote

🏄 California – Remote

💵 $185k - $220k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Veho

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

📦 Logistics

🛍️ eCommerce

🤝 B2B

💰 $170M Series B - Veho on 2022-02

Logistics • eCommerce • B2B

Veho is a tech-enabled last-mile delivery and logistics company that provides e-commerce-focused delivery and fulfillment services to retailers and marketplaces. It operates a network of drivers, routes, and local hubs to offer fast, reliable parcel delivery and improve customer experience, positioning itself as a B2B partner for online merchants seeking optimized shipping and delivery operations.

📋 Description

• 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.

🎯 Requirements

• 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 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.

🏖️ Benefits

• Comprehensive medical, dental, and vision coverage • 401k • Generous PTO