Software Engineering Lead (f/m/d) - Predictive Analytics

As Software Engineering Lead, you are part of our cross-functional Forecast Team consisting of Software Engineers, Data Scientists, a UX/UI Designer and a Product Manager. The team provides our customers with fully trusted and consistently accurate predictions of future workloads that are always up-to-date by applying a variety of statistical techniques such as data mining, data modeling, and machine learning to all available data.

What you will do:

• Writing simple and extensible code that your colleagues love to read and providing them code reviews

• Understanding business requirements and representing the engineering function in product discussions to assess the technical feasibility and provide the best solution design

• Leading a very skilled team of engineers across multiple areas including coaching, onboarding, personal growth, and day-to-day operations

• Applying engineering best practices and company-wide standards (e.g. pair-programming, TDD, etc.) to maintain and improve our services that are based on machine learning algorithms

• Ensuring high-quality team outcomes by maintaining and evolving the system design of the team-specific code base

• Working in a lean product development environment with a collaborative working style and being able to thrive in complex but rewarding problems
  

What you bring to the role:

• Expertise in writing data-intensive, horizontally-scalable applications.

• Experience with cloud-native development (microservices, containers, immutable infrastructure, continuous delivery)

• Experience in working with machine learning models from libraries such as sklearn and statsmodel

• Hands-on experience with preferably Python, Ruby, and/or Typescript (coding, testing, building, packaging, deployment, and monitoring)

• Experience in and opinions on good and bad approaches to software architecture, system design, microservices, API management, data modeling, and legacy integration techniques

• Basic knowledge in data analysis and statistics to understand the exceptional challenge of providing a fully automated forecasting service based on historical customer data

• Ideally: Hands-on experience in maintaining and monitoring a deployed machine learning system that trains and serves models fully automated

What we offer:

• Free breakfast, lunch and snacks

• A free ticket for public transportation

• Flexible working hours and the option to work from home

• Adjustable working time model (part-/full-time) and sabbaticals

• Regular personal growth conversations for an individual career path

• Dedicated time for hacks to explore new methods, technologies and tools

• Stock options

• A company pension plan

• A job bike

• Employee offers (Corporate Benefits)

• Free parking

• Relocation support

• …and lots more