Data Scientist (f/m/x)

at  paretos GmbH

Paretos is the leading AI-based decision intelligence platform to make effective, data-driven decisions across entire organizations. Our product enables business users to evaluate complex data, predict future scenarios and take optimal actions based on multi-objective recommendations via a no-code UI with no prior data science knowledge needed. As a remote-first company with team members in Germany and also a few spread in Europe, we strongly believe that this ambitious path is only possible with a great and diverse team.
paretos is an inclusive company with equal opportunities for all. Our corporate culture is guided by the principles of GUNG HO - we believe in the synergy of worthwhile work, the control of achieving a common goal, and the importance of cheering each other on. We are proud to have brought together passionate, high-performing, and caring people of all genders, cultures, backgrounds, and views. Together, they all form the heart of the company and drive us to new heights every day. The combination of remote work and regular onsite-events is our key to strengthening our team spirit and to form our culture. To keep this up, we are happy to receive your application for this specific role, if you already live in Germany or Europe.
Tasks

At paretos, you are bringing cutting-edge technology into application to support our mission of revolutionizing decision-making. You will be part of the “Geek” tech team that builds the machine learning backbone of our product. Currently, we’re focusing on time series forecasting capabilities. Your daily tasks will include:

• You are part of our “Geek” tech team and work closely with our technical development which transforms your ideas into an easy-to-use product
• Develop predictive machine learning models and optimization algorithms that provide recommendations on various trade-off use cases to pave our way to becoming the leader in Decision Intelligence
• You are looking for simple data-driven solutions for complex problem definitions and bring the into useful application for our customers
• Eager to learn how to perform data-driven decisions on various domains by researching and experimenting with state-of-the-art modelling approaches that directly have an impact on the business of our clients
• Work together with a diverse and motivated team on the full lifecycle of our product where engineering concepts are discussed and iterated as well as new requirements for our product.
• Think outside the box and be innovative in your approach to product and feature development, demonstrating what can drive business value

Requirements

• 3-5 years of working experience on Data Science products with hands-on, technical responsibilities as your main focus
• Data wrangling (Preprocessing, Data Cleaning e.g.)
• Modelling (Machine Learning, Deep Learning e.g.)
• Advanced understanding of Linear Algebra
• Proficient with Python – 3-5 years of experience
• Experience with data science libraries like pandas, NumPy, scikit-learn, Polars, pandera and PyTorch
• Proficient with machine learning libraries like sklearn, pytorch, darts, xgboost- 3+ years of experience
• Experiences in using Bayesian approaches, preferably in combination with time series forecasting
• Motivation to work together in a team of brilliant minds and in a fast paced startup environment
• Growth learning mindset, out-side-the box thinking and result-driven mentality
• Fluent in English, German speaking is a plus
• Plus/bonus: Experienced in time series forecasting applications

Benefits

These little perks will be waiting for you if you become part of the paretos-family:

• We are a remote-first company – nevertheless, you’re still very welcome to work at our beautiful office and enjoy the great view over Heidelberg
• Boost your continuous learning journey with our internal Learning sessions and “Journal Clubs” held where we discuss recent developments in the world of AI!
• Talking about the team: you’ll complement a highly skilled & motivated team of paretoneers ready to hit the road and have fun along the way
• We regularly enjoy professional and fun events online and IRL with the whole team on and off-site.
• You’ll get the office equipment you need to show off your full potential. We believe that your capabilities shouldn’t be limited by hardware components
• Work whenever it fits best for you with flexible working hours
• Receive a mobility budget to access various kinds of transportation whilst setting off your carbon emissions
• If you are part of the paretos dog club, feel free to bring your furry friend to the office
• At the office, you can test your barista skills and brew some great coffee to keep you going throughout the workday or enjoy some coffee talks with your fellow paretoneers. (You might even be awarded the next “paretos office barista of the year” at our Christmas party!)

This is it from our side for now. What about you? Are you ambitious to disrupt the AI and Optimization world with us? Then send us your application!
Note: We encourage you to apply for this role, even if you don’t match all the requirements 100%. As long as you inherit the eagerness to learn, we are happy to be convinced that you are the right fit for us

• You are part of our “Geek” tech team and work closely with our technical development which transforms your ideas into an easy-to-use product
• Develop predictive machine learning models and optimization algorithms that provide recommendations on various trade-off use cases to pave our way to becoming the leader in Decision Intelligence
• You are looking for simple data-driven solutions for complex problem definitions and bring the into useful application for our customers
• Eager to learn how to perform data-driven decisions on various domains by researching and experimenting with state-of-the-art modelling approaches that directly have an impact on the business of our clients
• Work together with a diverse and motivated team on the full lifecycle of our product where engineering concepts are discussed and iterated as well as new requirements for our product.
• Think outside the box and be innovative in your approach to product and feature development, demonstrating what can drive business valu