30 jul
|
Auctane
|
Madrid
About UsAt 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.About UsAt 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 valuesWin as One. Delight Customers. Deliver Great Outcomes.About The RoleAs the Data Science Manager you will lead and be responsible for the Data Science team. The Data Science team builds and maintains AI and statistical models for use in both internal and customer-facing applications. Through mentorship and guidance, the DS manager optimizes the team’s performance and delivers high quality machine learning products.What will you be doing?Managing a multi-member team of data scientistsHandle communication with stakeholders across the organization for all machine learning projectsActive involvement in machine learning projects for internal and customer facing applicationsEnsure quality of code, processes, projects, and systems used by the teamParticipate in code reviews and architectural design sessionsProvide feedback, career guidance, and growth opportunities to team membersProactively identifying and resolving potential performance challenges within the teamLead the recruitment process for the teamHelp set the technical roadmap for the team,
prioritizing workload based on business value and strategic directionBuild testing frameworks that ensure all code produced is accurate, explainable, and efficientWhat are we looking for?Excellent communication skills with technical and non-technical stakeholders alikeManagement experience, providing guidance and feedback to team membersDemonstrated evidence of problem solving in complex data environmentsExperience leading full-stack ML / Data Science projectsSolid understanding of machine learning and statistical methods with their underlying theory and mathExperience with AWS, GCP, or AzureHighly proficient in Python (R or Scala is also a plus)Experience with SQL and relational databasesExperience with Git and DockerExperience with coding agents for machine learning projectsExperience collaborating with teams across the organization, such as Data Engineering and ProductWhat will make you stand out?Experience with e-commerce or shipping logistics dataExperience with geospatial analysis and graph networksExperience with CI/CD solutions for machine learningExperience with AI agent developmentExperience with deploying cloud hosted model endpoints for real-time inferenceWhat do we offer?Clear and transparent compensation plan. The salary range goes from 62,000 to 81,000 € gross per year. We will discuss the indicated range with you in the first recruiting call to ensure that we are on the same page.Flexible salary benefits Save on personal income tax with Cobee for expenses like transport, restaurants, and kindergarten.Private health insurance Free for all employees via Cigna, plus we cover 50% for your family members.Generous time off Enjoy 26 days of holiday per year (23 base days + yourbirthday off, Christmas Eve, and New Year’s Eve).Your gear, your choice Whether you prefer Mac or Windows, or need an extra screen,
we’ll make sure you’re set up for success from day one.️ Annual Salary Review We’re committed to recognizing your professional growth. Every year, we review salaries to reflect your individual development, achievements, and impact on our business success.Grow your skills We offer up to €800/year in training (certifications, conferences, workshops) to boost your growth—both technical and personal.Learning resources Access internal and external training, including platforms like LinkedIn Learning, completely free.♂️ Holistic wellness program Includes access to Wellhub, Curalinc (psychological support), Rocketlawyer (legal advice), and regular health webinars & challenges.Volunteer day Take one day off a year to volunteer and give back. Bonus points for sharing pics on Slack!⚕️ Free therapy vouchers Because your mental health matters.Health & wellness support Get up to €55/month to cover your gym or fitness classes (yoga, boxing, pilates, etc.).️ Weekly language classes Improve or learn a new language (English, Spanish, French, Italian, or German) in small groups with expert instructors—on us!Time for health Get 8 hours per year for personal medical appointments and 10 hours per year to support your family’s medical needs.⚖️ Work-life balance We’re versátil and people-first. We know life happens, and we aim to make work work for you.Inclusive, upbeat culture No suits here—just a welcoming, casual, and respectful space where diversity is celebrated, and you can be your full self.A global, multicultural team We’re made up of 20+ nationalities, speaking 10+ languages. All communication is in English, so everyone’s included.Packlink Pro discount Enjoy 99% off your personal shipments using our platform.Referral bonuses Know someone amazing? Earn €1K–€3K when you refer candidates we hire—depending on the role.Central Madrid office When you want a change of scenery, drop by our office in the heart of Madrid—free snacks and drinks included!️ Team events We work hard and play hard with regular team-building activities and meetups.#J-18808-Ljbffr
📌 Data Science Manager (Madrid)
🏢 Auctane
📍 Madrid