Product Data Scientists - Remote, USA
About Veho
Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.
About The Role:
As a Product Data Scientist, you’ll be directly embedded in a team of data scientists, engineers, and machine learning engineers to help scope, quantify, and investigate modeling-based solutions with our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build insights that inform daily operations, and work with cutting-edge technology. You’ll create self-serve products (modeled data pipelines, advanced dashboards, predictive and descriptive models) that help all teams involved in Routing (Data Science, Operations, Product, Engineering) understand the performance of models and the opportunities to improve it.
Responsibilities Include:
Understanding business context and gathering requirements
Build reliable, efficient, products to monitor our AI/ML capabilities
Educate stakeholders and leadership on model impacts, changes and analytical insights
Create robust data pipelines to feed analyses
Ensure data quality and data integrity through best practices in data integration
Analyze and evaluate the impact and effectiveness of model changes in production systems via experiments
What You Bring:
Bachelor’s Degree plus 2 years of experience in data science or data engineering, or Master’s Degree plus 1 years in data science
Experience using statistical modeling or machine learning techniques to solve business problems …
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Regions Countries Benefits/PerksCasual work environment Diverse and inclusive culture Ownership package Professional development opportunities
SkillsData & Analytics Logistics Machine Learning Open Source Languages Python Redshift Snowflake Spark SQL Statistical modeling
Tasks- Educate stakeholders
- Ensure data quality
- Gather requirements
1-2 years
EducationBachelor's degree Business Logistics Master's degree
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9