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Advanced data model specialist

Zug
beBeeDataScientist
Model
Inserat online seit: 31 Juli
Beschreibung

Job Title

Lead Advanced Data Model Developer

* The Lead Advanced Data Model Developer is responsible for spearheading the design, development, and implementation of cutting-edge data models, sophisticated machine learning algorithms, and statistical analyses. This role aims to drive strategic decision-making and solve high-impact business challenges across various functions.

The Lead Advanced Data Model Developer will collaborate with cross-functional teams to develop solutions, integrate insights, and optimize business outcomes.

* Responsibilities:
* Develop End-to-End Data Science Projects: Lead data science initiatives from business exploration and model prototyping to deployment and performance monitoring.
* Data Collection and Integration: Collect and integrate data from various sources, including databases, APIs, and cloud platforms, ensuring data quality and integrity.
* Model Development: Design and develop predictive models and AI systems to optimize manufacturing operations, enable predictive maintenance, and improve supply chain logistics.
* Collaboration: Work closely with engineering teams and business stakeholders to ensure that AI/ML solutions are aligned with business objectives and production-ready.
* Communication: Effectively communicate insights to both technical and non-technical audiences through reports, visualizations, and dashboards.
* Required Skills and Qualifications:
* Master's degree in Computer Science, Statistics, Data Science, Engineering, or a related field (Ph.D. preferred).
* Minimum 5 years of hands-on experience in data science or a related field, with expertise in machine learning, statistical analysis, and model deployment.
* Strong proficiency in Python and SQL.
* Advanced experience with machine learning libraries and frameworks.
* Excellent problem-solving, communication, and presentation skills.
* Benefits:
* Occasional travel may be required for business needs.

This role offers the opportunity to work on complex problems, apply advanced data science techniques, and contribute to business growth.

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