We are a young AI startup, building custom solutions that show the value of analytics to a variety of customers. We believe that many of today’s problems can be solved using analytics and we want to be part of building a better, smarter future. Our solutions are as diverse as our customers: We help insurances in predicting diseases and derive optimal recommendations to prevent negative outcomes for their patients. We predict wear and errors of big and complex machinery. We classify images from high-speed cameras for quality monitoring. We bring analytics to edge devices and detect objects in 3D camera images to enable smart rules. We help venture capitalists to support the evaluation of companies. We monitor network data for telecommunications providers to detect anomalies and perform root cause analyses.
And, most importantly: We are hungry for more and want to invite you to be part of our journey. You have already a proven industrial experience in data science and know what it means to bring analytics from first exploratory analyses to integrated solutions. You have both, solid foundations in the technical part of data science (different data types, packages, environments) as well as a business mindset and enjoy presenting your and the team’s findings to customers.
What will you do at SPRYFOX?
- With your multiple years of industry experience, you are responsible for our analytics algorithms and frameworks
- Implementation of algorithms in Python along the whole machine learning pipeline. Depending on the customer this includes parts of the following technology stack: Python (sklearn, pandas, pytorch, …), Pycharm, MLFlow, Docker, AWS, Git
- Guide junior colleagues
- Strong hands-on collaboration with our developers. We work in a truly integrated setting from the beginning on – no “throwing over the fence” from data science and no “here are the productization rules, stick to them” from development
- Present your work in customer meetings
- Work together with the SPRYFOX founders to define our tech infrastructure and future product components
What we offer:
- You are part of building an amazing company. We make mistakes together, we learn together, we grow together, and we celebrate together.
- No rigid structures. We don’t hire you to tell you what to do. We need your ideas and expertise and will value them
- Flexible working hours. We have offices in the city centers of Darmstadt and Munich and accommodate for home office days
- Flexibility in defining the working space and setup that works best for you
- The best coffee in Darmstadt. Seriously.
We are a young AI startup, building custom solutions that show the value of analytics to a variety of customers. We believe that many of today’s problems can be solved using analytics and we want to be part of building a better, smarter future. Our solutions are as diverse as our customers: We help insurances in predicting diseases and derive optimal recommendations to prevent negative outcomes for their patients. We predict wear and errors of big and complex machinery. We classify images from high-speed cameras for quality monitoring. We bring analytics to edge devices and detect objects in 3D camera images to enable smart rules. We help venture capitalists to support the evaluation of companies. We monitor network data for telecommunications providers to detect anomalies and perform root cause analyses.
And, most importantly: We are hungry for more and want to invite you to be part of our journey. You have already a proven industrial experience in data science and know what it means to bring analytics from first exploratory analyses to integrated solutions. You have both, solid foundations in the technical part of data science (different data types, packages, environments) as well as a business mindset and enjoy presenting your and the team’s findings to customers.
What will you do at SPRYFOX?
- With your multiple years of industry experience, you are responsible for our analytics algorithms and frameworks
- Implementation of algorithms in Python along the whole machine learning pipeline. Depending on the customer this includes parts of the following technology stack: Python (sklearn, pandas, pytorch, …), Pycharm, MLFlow, Docker, AWS, Git
- Guide junior colleagues
- Strong hands-on collaboration with our developers. We work in a truly integrated setting from the beginning on – no “throwing over the fence” from data science and no “here are the productization rules, stick to them” from development
- Present your work in customer meetings
- Work together with the SPRYFOX founders to define our tech infrastructure and future product components
What we offer:
- You are part of building an amazing company. We make mistakes together, we learn together, we grow together, and we celebrate together.
- No rigid structures. We don’t hire you to tell you what to do. We need your ideas and expertise and will value them
- Flexible working hours. We have offices in the city centers of Darmstadt and Munich and accommodate for home office days
- Flexibility in defining the working space and setup that works best for you
- The best coffee in Darmstadt. Seriously.