Senior Data Scientist / Machine Learning (w/m/d)

  • Cofinpro AG
  • Frankfurt am Main, Germany
  • 04/08/2022
Full time Data Science Machine Learning Business Intelligence Statistics Biostatistics

Job Description

Job Description

Benefits and Allowances
continuing education programs
employment type
full time
permanent employment

Full job description

We just want you!
Senior Data Scientist / Machine Learning (f/m/d)

As a consulting firm for leading banks and asset managers, we and our customers are at the forefront when it comes to innovation, fresh impetus and tailor-made software. What do new technologies and the financial industry have in common? A lot, because for our customers they are the way to the future. As an employer, we value an appreciative corporate culture, prioritize competence over hierarchy and offer a great deal of co-creation. This is also what makes us a »Great Place to Work« time and time again.

What makes your job

  • Conception, construction and development of innovative machine learning and data analytics solutions in direct customer cooperation
  • Employee coaching and expansion of our data science / machine learning offer
  • Responsibility for topics in the field of data science / machine learning
  • Continuous personal development

What we want from you

  • At least two years of professional experience as a data scientist or machine learning expert
  • Experience in setting up and implementing machine learning projects with MLFlow
  • Very good knowledge of Python and common machine learning frameworks such as Scikit or TensorFlow / Keras
  • Experience in agile project methods (Scrum etc.)
  • Experience in setting up recommender systems and learning-to-rank would be desirable
  • Enthusiasm for technology and interest in technology consulting
  • Completed university studies
  • Very good knowledge of German and good English

What we offer you

  • Equity Participation
  • Attractive benefit model: Drive a hybrid Cofinpro car or a Cofinpro e-scooter from day 1
  • Flexible working time models and usually two remote days per week
  • Numerous company events and after-work events
  • Tech events, trainings and conference visits
  • child care allowance
  • Feedback & Training
  • permanent employment
  • 30+ vacation days

Type of position: full-time, permanent