Senior Data Scientist (Based in Spain - Remote)
Confirmed live in the last 24 hours
Auctane
Job Description
About us
At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.
The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.
Our values
Win as One. Delight Customers. Deliver Great Outcomes.
About the role
As a Data Scientist, you will solve challenging logistics and optimization problems to make our customers more successful. You will analyze large amounts of data from a variety of sources, discover and solve real world problems, and develop metrics and business cases that will enable us to continually delight Auctane customers. The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus.
What will you be doing?
- Design, build and deploy ML systems that help our customers work and ship more efficiently.
- Lead cross-functional initiatives to put your work in the hands of our customers.
- Mentor junior data scientists on the team.
- Measure and continuously improve the accuracy of predictive models.
- Use AI & ML to incorporate additional unstructured datasets into our ML models.
- Orchestrate and automate scalable model pipelines in production environments.
- Effectively document and communicate methodologies and results.
- Use data to inform and influence the direction of the product roadmap.
- Research and develop new models to solve key business challenges.
- Use visualization & reporting to improve the ways in which our team accesses and interprets datasets.
- Keep up-to-date with recent developments in AI / ML.
What are we looking for?
- 5+ years’ experience working as a data scientist or machine learning engineer.
- Proven experience designing, building, and deploying machine learning models in production.
- Excellent Python and SQL skills for data manipulation, analysis, and ML development.
- Strong grasp of data-engineering best practices and working with large, complex datasets.
- Strong collaboration and communication skills with cross-functional teams (e.g., product, engineering, design)
- Experience using data to influence product or business decisions.
- Experience with softwa
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