Data Scientist

Data Scientist

Revolut

30900 - 43000 PLN / miesiąc
Wrocław
Warszawa
Rzeszów
Kraków
Data Science
Python
SQL
Algorithms
Statistics
Data Products
Data Analysis
Problem Solving
Collaboration
Communication

Hexjobs Insights

Revolut seeks a Data Scientist in Rzeszów to improve algorithms, deliver data-driven solutions, and collaborate with teams. Requires STEM degree, Python, SQL expertise. Monthly salary: 30,900 - 43,000 PLN.

Słowa kluczowe

Data Science
Python
SQL
Algorithms
Statistics
Data Products
Data Analysis
Problem Solving
Collaboration
Communication

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About the roleOur Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.We’re looking for Data Scientists to help us shape the future of financial services. It’s a challenging task, but you’ll be part of a strong and supportive teamYou’ll be collaborating with experienced professionals in Product, Design, Data Science, and Engineering on impactful projects that drive our company’s growthUp to shape what's next in finance? Let's get in touch.What you’ll be doingImproving existing algorithmsBuilding new PoCsDelivering data-driven solutions to enhance product performanceResearching and developing PoCs into scalable data productsCollaborating with product owners, engineers and data scientists to continually solve complex data problemsWhat you'll needExperience building and leading a data science team within a scaling organisationA bachelor's degree in a STEM subject (mathematics, computer science, engineering)Solid knowledge of data science tools, including Python, SQL, and production frameworksDemonstrated knowledge of probability and statistics fundamentalsThe ability to think strategically and diagnose problems accuratelyExperience productionising research into scalable solutionsExcellent communication and collaboration skills to partner with Product Owners and senior stakeholdersNice to haveAn advanced degree in a quantitative discipline (e.g., master's or PhD)Experience with additional programming languages, such as Java, Scal, or C++Familiarity with anti-fraud functionsExperience working at a large-scale global tech companyTo have participated in Olympiad competitions in physics, mathematics, economics, or programming at school or university levelCompensation rangeKrakow: PLN30,900 - PLN43,000 gross monthly*Poland: PLN30,900 - PLN43,000 gross monthly*Other locations: Compensation will be discussed during the interview process*Final compensation will be determined based on the candidate's qualifications, skills, and previous experienceBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

Wyświetlenia: 1
Opublikowana7 dni temu
Wygasaza około 2 miesiące
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