(Senior) Data Scientist (multiple openings) (f/m/d)

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(Senior) Data Scientist (multiple openings) (f/m/d) Job Openings (Senior) Data Scientist (multiple openings) (f/m/d) About the job (Senior) Data Scientist (multiple openings) (f/m/d) (Senior) Data Scientist (multiple openings) Our client, an established fin-tech company and is looking for a Data Scientist (multiple Openings) to join the team on a permanent basis.

The successful candidate will be part of an established digital team and expected to collaborate with fellow Data Scientists and Analysts on a daily basis.

Your Profile: Degree in quantitative economics, computer science, data science, statistics, informatics, mathematics, engineering, or a related discipline Experience working on projects that have been successful in analytics, data science, or field consulting for at least three years (or one year for a junior) Solid expertise in at least two of the following areas: simulations, optimization, machine learning, and optimization Python proficiency and familiarity with SQL are prerequisites Aability to comprehend business difficulties and procedures rapidly and convert them into technical models Knowledge of Spark and experience running data science applications in cloud systems (ideally Azure / Databricks) are advantages German is a plus but not a must have What youll do: Develop creative, data-driven solutions that add real value for clients, suppliers, and coworkers Collaborate with others in a team that covers the whole spectrum of data science for fin-tech themes Be in charge of using your technical data science knowledge, and serve as a consultant and facilitator for other business units Assume control of the project execution process, take charge of ideation, project planning, and solution design and implementation Use up-do-date tool stack, and explore the existing data trove and identify and reveal its potentials Implement data science pipelines and master their model deployment as well as the life cycle Company and role details will be shared during the first interview stages.

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