YOUR TASKS

As a Data Scientist (f/m/d) you are part of the data science team and develop data science models for the business units:

• You develop under the guidance of the senior Data Science member statistical and predictive models by using the big data analytics platform of vent.io
• In close collaboration with the Data Engineers, you develop data analysis packets, aggregations and data products
• You have an interest for new technologies, algorithms and technical concepts and find pleasure in evaluating those
• You are enthusiastic about participating in meetup and external conferences for sharing the successes of the team with the community

YOUR SKILLS

• Graduate degree in computer science, statistics, informatics or another quantitative field
• Proven academic and/or professional track record in the areas of data analysis and predictive analytics
• Very good programming skills in Python and/or Scala
• Very good use of SQL or SQL-like query languages
• Nice to have: experience with data processing frameworks like Spark or Flink

YOUR COMPETENCIES

• You have good analytical skills and you are able to split a complex problem into its individual parts
• Teamwork is not alien to you and you enjoy working together with highly-skilled engineers and scientists
• You bring perseverance and constructive assertiveness
• You speak English fluently and ideally have basic conversation skills in German

THIS IS WHAT WE OFFER

• Flexible working conditions in our new office in Frankfurt am Main/Westend and remote work.
• A very competitive salary and benefits
• 30 days of vacation per year.
• Meal and health allowances.
• Private pension scheme.
• Substitution of the public transportation costs.
• Support of your personal further development through seminars and/or external courses.
• A very dynamic and young team, which you can enrich with your own expertise and mindset.
• Room for taking responsibility and career development opportunities.
• Start-up Flair backed by the financial stability of the Sparkasse Financial Group.