Data Scientist

Data Scientist (M/F/d)

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, Metal tech experts, and Designers 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, order allocation, fulfillment reliability, etc. You will help to create innovative and valuable solutions for the complex requirements of our B2B environment.

**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, including liaising with the data team, defining data structures & pipelines, gathering & processing data, building necessary tools, etc. Design, deploy, evaluate, and update data-driven models and analytical solutions, considering the behavior of customers, suppliers, and relevant stakeholders
- Drive growth - Monitor key product metrics, confirm/disprove hypotheses, communicate insights, make recommendations, and contribute to decision making and requirements definition inside the Product team and organization. Collaborate strongly with creating the best commercial offer for customers and resource allocation models for order fulfillment
- 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, machine learning, AI, etc

**Your profile**:

- Completed studies (Bachelor, Master or PhD) in quantitative field such as Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields
- 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.
- Sound knowledge of programming, Python data science stack (pandas, numpy, scikit-learn, PyTorch, TensorFlow), SQL, cloud technologies (preferably GCP, AWS)
- Impressive problem-solving skills and critical mindset. Able to find patterns, analyze complex scenarios, execute tests and derive 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 everyday 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 milestones**:

- By 1 month: You’ve become knowledgeable to a high degree of our data structures, tools, and main challenges. You understand our business model well
- By 3 months: You’ve become an important collaborator of the Product team, by generating insights, making recommendations and contributing to decision-making
- By 6+ months: You’ve become a fully knowledgeable Product team member, that drives growth and helps shape Data Science within the organization

Why Laserhub?
- A one-time opportunity to help build an exciting B2B business model with scaling potential
- 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”
- All our employees hold company shares in Laserhub
- You can arrange your working day according to your needs with flexible working hours, home office days and the No-Meeting-Wednesday

**Location**: Stuttgart / remote | When do you start? As soon as possible