Senior Data Scientist - Network Orchestration
Veho
Data Science
Remote
USD 150k-170k / year + Equity
Posted on Oct 27, 2025
Senior Data Scientist - Network Orchestration
Remote
Data Science
Remote
Full-time
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 Senior Data Scientist, you’ll be a core part of a team of talented data scientists and machine learning engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting-edge technology. Your team will directly own models that power Veho’s marketplace.
Responsibilities Include:
- Building reliable, efficient, and scalable models for our AI/ML capabilities.
- Evaluating the impact and effectiveness of models in production systems
- Owning live production machine learning systems end to end.
- Creating robust data pipelines to feed analyses and models.
- Proactively identifying the most impactful opportunities for data science to shape product roadmaps.
What You Bring:
- Bachelor’s Degree plus at least 4 years of experience in data science or data engineering, or Master’s Degree plus 2 years in data science.
- Using statistical modeling and machine learning techniques to solve business problems
- Strong Python and SQL Skills
- At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like Spark and Ray.
- At least 2 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
- At least 2 years of experience working with cloud-based data engineering and data science tools. (AWS Preferred)
- Experience with MLOps and model deployment pipelines. Comfort with live systems composed of multiple models.
- Comfort using AI to accelerate system development.
- Experience with multi-sided marketplaces is a plus.
- Experience with logistics is a plus.
Compensation: $150,000 - $170,000
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 generous PTO for full-time roles.
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!
(Veho is unable to provide sponsorship at this time.)
All California applicants please reference our California Applicant Privacy Notice located here.
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Req ID: R461
