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(Senior) Data Scientist (m/f/d)

EXTRA HOLIDAYS - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Salary: 
6 - 6K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years in quantitative analysis, Degree in Computer Science or related field, Knowledge of data science programming stack: Python, SQL, Experience with ML and cloud technologies, Strong problem-solving and critical thinking skills.

Key responsabilities:

  • Collaborate with cross-functional teams
  • Build data-driven models and solutions
  • Create and optimize offers for customers
  • Monitor metrics and provide insights
  • Understand customer needs for data initiatives
Laserhub GmbH logo
Laserhub GmbH Metals & Mining Scaleup https://laserhub.com/
51 - 200 Employees
See more Laserhub GmbH offers

Job description

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Your missions

At Laserhub, we have metal running through our veins, and with our procurement platform for metal parts, we are leading the very traditional metal industry into the glorious age of full digitalization. At laserhub.com, end customers and metal parts manufacturers come together via a lean, digital process. Instead of spending many days or weeks on a single order, everyone can work efficiently, fulfilling their demands in just a few days and for multiple orders. Since 2017, our team of experts has demonstrated that our concept is well received by the market – now, we want to play a big part in making the entire metalworking industry digital. To achieve our goals, we are looking for an excellent employee for our Engineering team as

(Senior) 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, 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.

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

  • Your profile:
  • 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)
  • 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. Good German is desired. 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 about 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 & Data team, by generating insights,  making recommendations, and contributing to decision-making
  • By 6+ months: You’ve become a fully knowledgeable team member, that drives growth and helps shape Data Science within the organization

  • Why Laserhub?
  • We offer the one-time opportunity to build an exciting B2B business model with scaling potential! This means you can take on responsibility and contribute ideas from day one
  • Your future belongs to us! A permanent employment contract and qualified onboarding with a buddy program is waiting for you
  • Design your working day according to your preferences! This is possible through our flexible working hours and remote work (home office)
  • Our success is your success! When you join the company, you get company shares that grow with the success of the company
  • Teamwork makes the dream work! We are a dynamic and helpful team and live fairness and transparency in our everyday work
  • Our benefits are impressive! We offer monthly shopping vouchers, company pension plans, and much more
  • Required profile

    Experience

    Level of experience: Mid-level (2-5 years)
    Industry :
    Metals & Mining
    Spoken language(s):
    Check out the description to know which languages are mandatory.

    Soft Skills

    • Problem Solving
    • Verbal Communication Skills
    • Critical Thinking
    • Forecasting

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