BACK TO HOME

Jobs

Data science intern (m/f/d)

Full-time

Are you excited to learn what it means to apply data science and machine learning in industry? We are a young AI startup active in many industrial areas where analytics brings real value. From insurances who aim to predict diseases over machine monitoring in industry 4.0, image classification for quality monitoring up to analysis of crawled websites to support or customers in the finance space.

What will you do at SPRYFOX?

  • Join the analytics development of one of our projects and learn from and with an experienced data scientist
  • Implementation of algorithms in Python along the whole machine learning pipeline. Depending on the customer this includes learning and applying about parts of the following technology stack: Python (sklearn, pandas, pytorch, …), Pycharm, MLFlow, Docker, AWS, Git

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 value your ideas
  • Flexible working hours. We have offices in Darmstadt and Munich and accommodate for home office days
  • The best coffee in Darmstadt. Seriously.

What we expect

  • Solid programming experience in Python
  • Solid statistics and at least basic machine learning understanding
  • Good communication skills
  • Willingness to learn lots of new things and working in a team

Are you excited to learn what it means to apply data science and machine learning in industry? We are a young AI startup active in many industrial areas where analytics brings real value. From insurances who aim to predict diseases over machine monitoring in industry 4.0, image classification for quality monitoring up to analysis of crawled websites to support or customers in the finance space.

What will you do at SPRYFOX?

  • Join the analytics development of one of our projects and learn from and with an experienced data scientist
  • Implementation of algorithms in Python along the whole machine learning pipeline. Depending on the customer this includes learning and applying about parts of the following technology stack: Python (sklearn, pandas, pytorch, …), Pycharm, MLFlow, Docker, AWS, Git

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 value your ideas
  • Flexible working hours. We have offices in Darmstadt and Munich and accommodate for home office days
  • The best coffee in Darmstadt. Seriously.

What we expect

  • Solid programming experience in Python
  • Solid statistics and at least basic machine learning understanding
  • Good communication skills
  • Willingness to learn lots of new things and working in a team

Upload a document, e.g. CV, etc.

Ana­ly­tics pro­duc­tiza­t­i­on and cloud in­fra­struc­tu­res (m/​f/​d)

Working student 20 hrs/week

Do you feel like working on innovative data analytics projects and supporting our team with your programming skills to implement these projects?

At SPRYFOX, we are looking for a working student to work with our Data Scientists to develop and productize analytics code and roll it out on scalable cloud infrastructures.

What you can do at our company:

  • Productize analytics code in Python
  • Development of applications in Java, Python or Web Technologies (JS, etc.)
  • Setting up and running and maintaining cloud infrastructures (AWS, Azure and/or Google Cloud)
  • Development of internal tools

What to expect from us:

  • Interesting projects from a wide range of industries with customers from all over the world
  • Flexible working hours in our office in Darmstadt or at home
  • Great team that will help you develop and learn new skills
  • Exclusive selection of hot beverages from the café next door

What you contribute:

  • Programming skills in Python and Java
  • Preferably, experience with cloud architectures (AWS; Azure or Google Cloud also possible).
  • Preferably, experience with Infrastructure as Code (e.g. Terraform).
  • Ability to structure code
  • Basics in databases (SQL)
  • Willingness to learn new programming languages, cloud tools, etc.

Do you feel like working on innovative data analytics projects and supporting our team with your programming skills to implement these projects?

At SPRYFOX, we are looking for a working student to work with our Data Scientists to develop and productize analytics code and roll it out on scalable cloud infrastructures.

What you can do at our company:

  • Productize analytics code in Python
  • Development of applications in Java, Python or Web Technologies (JS, etc.)
  • Setting up and running and maintaining cloud infrastructures (AWS, Azure and/or Google Cloud)
  • Development of internal tools

What to expect from us:

  • Interesting projects from a wide range of industries with customers from all over the world
  • Flexible working hours in our office in Darmstadt or at home
  • Great team that will help you develop and learn new skills
  • Exclusive selection of hot beverages from the café next door

What you contribute:

  • Programming skills in Python and Java
  • Preferably, experience with cloud architectures (AWS; Azure or Google Cloud also possible).
  • Preferably, experience with Infrastructure as Code (e.g. Terraform).
  • Ability to structure code
  • Basics in databases (SQL)
  • Willingness to learn new programming languages, cloud tools, etc.

Upload a document, e.g. CV, etc.

Senior Data Scientist (m/f/d)

Full-time or remote

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 knowledge 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?

  • Be responsible for the analytics for 1-2 of our projects
  • 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
  • Guiding 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 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 knowledge 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?

  • Be responsible for the analytics for 1-2 of our projects
  • 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
  • Guiding 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 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.

Upload a document, e.g. CV, etc.