data-scientist

Recommend is a platform designed to help consumers discover better services and products through country-specific explorations. The company offers users the ability to change languages and select various countries to explore curated recommendations. Users can personalize their profiles for improved discovery experiences.

The goal of Recommend is to digitalize word-of-mouth, the most reliable way of recommendation. We think that the best things in life should be shared. That's why we enabled people to share their favorite things with their friends and family – and to get financially rewarded for doing so. While people publicly thank brands and companies for making their lives better and easier, we let companies return the favor. They can do so by rewarding loyal customers for spreading the word about all the good things in life. 

Recommend

• Aggregate and process structured and unstructured data from multiple sources (APIs, databases, CSVs, etc.)
• Clean, transform, and analyze datasets for actionable insights
• Apply clustering techniques and segmentation (e.g., K-Means, DBSCAN, hierarchical clustering)
• Build and evaluate data models for internal tools and business needs
• Communicate findings through clear visualizations and concise summaries
• Collaborate closely with developers, product managers, and business stakeholders

Data Scientist

Data Scientist at Recommend transforming data into insights for global brands. Join a growing team and leverage your data skills.

Syskit is a software development company focused on creating a state-of-the-art platform for easy management and governance of Microsoft 365 environments. 

Steering cumbersome and complex environments has never been easier. Our flagship product, Syskit Point, simplifies IT management, enhances security, and provides IT control through one centralized dashboard. 

Our goal is simple. To support IT professionals, business users, and organizations in achieving flexible collaboration and peace of mind. 

World-renowned organizations from different industries and sizes recognize our capability and dedication to creating user-friendly, unique, and simple solutions. Our 3800+ customers value our continuous effort in upgrading products that make a real difference.

Syskit

• Build and maintain an analysis-ready customer data model that enables reliable reporting, segmentation, and decision-making
• Analyze user behavior to understand how customers use the product, with a strong focus on usage, engagement, and adoption
• Identify bottlenecks and pain points in the product and propose data-driven improvements
• Develop customer segmentation based on behavior, firmographics, and engagement patterns
• Define churn and renewal risk signals, and build proactive monitoring that Sales and Customer Success can act on (with predictive models added where justified)
• Define and maintain expansion signals that surface product usage patterns to support upsell and cross-sell motions
• Provide insights to support marketing campaigns, including identifying customers most likely to convert
• Partner with Engineering to define and maintain telemetry standards, closing data gaps so key business questions can be reliably answered
• Collaborate with Product, Engineering, Design, Sales, and Customer Success to ensure analytics directly support business and product decisions
• Communicate insights clearly and in a business-oriented way to influence strategy and execution

Product & Growth Data Scientist

Data Scientist analyzing user behavior and developing insights for Syskit’s Microsoft 365 management platform. Collaborating across teams to improve product strategy and customer engagement.

Jungheinrich AG is a leading German provider of intralogistics solutions, manufacturing material handling equipment (forklifts, pallet trucks, stackers) and offering automated systems, warehouse management software, analytics and related services. The company serves industrial and commercial customers worldwide through direct sales and partner networks, and emphasizes energy-efficient electric vehicles (including early adoption of lithium‑ion batteries), automation and sustainability to optimize customers' internal material flows. Jungheinrich combines hardware production with software and service offerings to deliver integrated B2B intralogistics solutions.

Jungheinrich inspires, influences and shapes the world of material handling, and has been for more than 70 years. We don't just want to identify the latest trends or developments. We take a proactive approach to change and use our ingenuity to set ourselves apart from the competition. Our success is based on a corporate and management culture that places great emphasis on using your own initiative and trusting in our employees. We remain true to the motto of our company founder, Friedrich Jungheinrich: "Go for it!" In other words: See what we can accomplish together!

What does it mean to be a pioneer? For us, it is always thinking of the bigger picture and being reliable every step of the way. But also thinking outside the box to overcome any challenge. Some of our best successes include our energy recovery initiatives when braking and lowering the load, electric steering and the use of lithium-ion batteries instead of lead-acid batteries. This sets us apart from our competitors, and we want to continue to be a global driving force with our products and solutions in the future. To achieve this, we are constantly on the lookout for new talent with the Jungheinrich mindset and plenty of drive. This is your chance to personally shape the digital world of logistics.

Find out more about your career opportunities at Jungheinrich at www.jungheinrich.com/careers.

Imprint/Legal Notice: https://www.jungheinrich.com/en/legal-notice/
Data Privacy: https://www.jungheinrich.com/en/data-privacy-14660

Impressum: https://www.jungheinrich.de/impressum-101834
Datenschutzerklärung: https://www.jungheinrich.com/datenschutzerklaerung-12320

Jungheinrich AG

• Dive into large, complex IoT datasets to uncover trends, anomalies and opportunities that inform product- and operational decisions
• Use statistical and machine learning techniques to surface meaningful patterns, relationships or indicators that shape better product experiences and create meaningful impact for customers
• Contribute to Product Discovery & Development Work hand-in-hand with product teams during the discovery & development phase: framing problems, identifying opportunities, and evaluating what’s worth building
• Develop lean, targeted PoCs to validate ideas quickly, refine what works and pave a clear path towards stable, production-ready customer solutions
• Validate & Collaborate in the Real World Partner with sales, customer-facing teams, and product owners to test assumptions early, validate the value of insights, and co-create solutions that customers will use
• Ability to take ownership of the prototyping process - from defining objectives and setting clear goals to delivering a functional, shippable prototype - while embracing feedback and iterating for continuous improvement

Data Scientist analyzing complex IoT datasets to inform product and operational decisions at Jungheinrich. Collaborating with teams to develop insights and prototypes in a flexible, hybrid working environment.

Nexi Group is a leading European payment technology company, often referred to as 'The European PayTech'. It is engaged in providing a range of digital payment solutions and services to businesses of all sizes, consumers, banks and financial institutions, and public sector entities. The company offers payment acceptance, mobile payments, digital corporate banking, open banking, trade surveillance, compliance solutions, and blockchain technologies. They operate across various sectors including medium and large enterprises, small businesses, central institutions, and public sector clients. With a robust presence in over 25 countries, Nexi Group serves approximately 2.9 million merchants and handles around 140 million cards. Their solutions are aimed at driving payment innovation and enhancing the overall payment experience.

We come from the merger and integration of Nexi, Nets and Sia, among the biggest European players in digital payments. 
European by scale, local by nature we are now present in more than 25 countries.

We have the scale, capabilities and proximity to provide the simplest, fastest and safest payment solutions to People, Businesses and Financial Institutions.

We help our Customers pay and accept digital payments through a complete and personalised range of simple, intuitive and secure solutions.

We offer Banks, Small and Medium-sized Enterprises, Large International Corporations, Institutions and Public Administrations a complete range of innovative solutions for digital payments in both card‑present and card‑not‑present acceptance, e-commerce and multi-channel solutions. 

We want to shape the way People pay and Businesses accept payments, by offering to our customers the most innovative and reliable solutions, thanks to our scale and the competence and energy of our people. 

We will drive the transition to a cashless Europe by making every payment digital because it is simpler, faster and safer for everyone.

We strongly contribute to Europe’s digitalisation, managing our business in a sustainable way and with great attention to the environment, as well as to a transparent governance and to society. 

We drive progress by simplifying transactions and by empowering people and businesses to enjoy closer relationships and prosper together.

Nexi Group

• Our Graduate Program offers you the chance to create your unique career path within our diverse international team, operating in more than 25 countries.
• Rotate among different departments, learn from experienced professionals, and make a difference by working on real business cases.
• Work on real business cases and have a direct impact on business results.

Graduate Program Data Science, Analytics

Graduate Program in Data Science & Analytics at European PayTech involving rotations and real business impact. Training and development opportunities available in a diverse international team.

Hybrid Data Scientists roles in Croatia

Browse 4 hybrid data scientists roles hiring in Croatia plus related opportunities such as data analyst and product analyst.

4 jobs found

Data Scientist

Recommend

Product & Growth Data Scientist

Syskit

Data Scientist

Jungheinrich AG

Graduate Program Data Science, Analytics

Nexi Group