Data Scientist

Our Client is a top-notch company with cutting-edge technologies in the sheet metal industry. Their procurement platform for the metal parts shows end users and metal parts manufacturers the most striking examples of digital process. Instead of spending many days or weeks on a single order, everyone can fulfill their demands just in a few days and for multiple orders.

In this position, you are an indispensable part of the Product team and a fundamental contributor to the product's success. You collaborate with cross-functional teams and work closely with Product managers, Engineers, and Metal tech experts to create the best offers for our customers and enable the best fulfillment of orders. You contribute with understanding our data, building relevant models, and driving decision making for topics such as offer creation, pricing, orders allocation, fulfillment reliability, etc. You will help to create innovative and valuable solutions for the complex requirements of our B2B environment.

Requirements:

● 3+ years of practical work experience (not only academic) in quantitative analysis and statistical methods, including time series, hypothesis testing, clustering, regression analysis, forecasting, etc
● completed studies (Bachelor, Master, or PhD) in quantitative fields such as Computer Science, Engineering, Mathematics, Economics, Physics, Statistics, or related fields
● sound knowledge of programming, Optimization problems, ML, Python data science stack (pandas, numpy, scikit-learn, PyTorch, TensorFlow), SQL, and cloud technologies (preferably GCP, AWS)
● experience with optimizing existing models and finding solutions to business problems, such as maximizing profits, cost and waste reduction, or comprehensive offering
● impressive problem-solving skills and critical mindset. Capable of breaking down complex issues, identifying patterns, analyzing intricate scenarios, conducting tests, and deriving effective actions
● enjoy working on a complex product while being entirely passionate about technology and the digitalization of the traditional manufacturing industry. You challenge the status quo every day and strive to improve our products and processes
● great written and verbal communication skills in English. You are well-structured and able to interact with stakeholders inside and outside the company

Your mission:

● become an expert in our domain - gain a deep understanding of our business and processes; build strong relationships and trust with stakeholders; and recognize the biggest opportunities
● create the pathway - evolve the necessary infrastructure to support the data science initiatives, defining data structures & pipelines, gathering & processing data, building essential tools, etc. Design, deploy in production, evaluate, and optimize data-driven models and analytical solutions, considering the behavior of customers, suppliers, and relevant stakeholders
● drive growth - actively collaborate on the creation and optimization of models that deliver the best offers to customers and efficient resource allocation for order fulfillment. Monitor key metrics, validate hypotheses, share insights, and provide recommendations. Contribute to decision-making and definition of requirements within the product and across the organization
● make customers the core - put customers at the center of your initiatives, understanding their needs and deriving data science initiatives that will deliver real value to them
● build the future - create the foundations for future initiatives involving forecast models, AI, etc

Why Rolique?

● we believe in fairness, transparency and helpfulness in everyday work
● your personal development is important to us, therefore we promote the internal transfer of knowledge and strengthen your “zone of genius”