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Ai finance operations specialist

Erlangen
beBeeDataScientist
Finanzen
Inserat online seit: 29 Oktober
Beschreibung

About the Role

We are seeking a seasoned professional to lead the development of advanced statistical and machine learning techniques for enhancing digital finance operations through automation.

* End-to-End Ownership: Manage the complete data science lifecycle for various finance use cases, such as forecasting and anomaly detection.
* Business Problem Framing: Collaborate with product managers and finance stakeholders to define key performance indicators and translate business problems into testable hypotheses.
* Model Development: Develop and iterate models using appropriate methods (e.g., supervised/unsupervised learning, natural language processing), balancing accuracy, speed, and interpretability.
* Experimentation: Design and conduct experiments (A/B tests, backtesting) and clearly communicate results, including trade-offs and business implications.
* Collaboration for Production: Work with data and ML engineers to productionize models and data pipelines, ensuring reliability and scalability.

This role will be a vital contributor to our finance center of excellence for applied AI and automation.


About You

We're looking for a highly skilled Data Scientist with:

* Educational Background: University degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
* Statistical & ML Expertise: Strong foundation in statistics and machine learning; experience with large language models is a plus.
* Programming Skills: Proficient in Python and SQL, with the ability to write production-quality code and collaborate effectively.
* Practical Experience: Experience building high-impact models from prototype to production in cloud environments (preferably AWS).
* Communication Skills: Ability to convey complex technical topics to non-technical stakeholders and collaborate effectively with diverse teams.


About Us

We develop the energy systems of the future to meet the growing energy demand reliably and sustainably. We're committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible.

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