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Data Science & AI Specialist (m/f/d) (80-100%) – Baden | JobRevolt

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This role is the foundation of Accelleron's new Advanced Analytics AI Center of Excellence and requires coding experience and handling of structured and unstructured data sets. It transforms business challenges into data-driven solutions and acts as an expert partner to process domain teams, helping the company's AI citizen program to work safely and effectively with AI.

Aufgaben

Support and deliver data driven solutions: from problem framing and feasibility assessment to model development, validation, deployment, and post-go-live monitoring.
Create actionable insights using data science & AI methods: statistical analysis, machine learning, computer vision, Large Language Models applied to business problems.
Solution Hand over to sustainable operation: documentation, retraining and monitoring approach, and clear ownership together with the process domain and application teams.
Work with business units to understand their needs: engage with Divisions & Functions, clarify the actual process to be improved, and challenge when required.
Translate analytical results into business value and actions: explain findings in business language, quantify the expected benefits, and define what should change as a result.
Advise business users end to end: from data inputs, feature selection, modelling approaches, evaluation of results, and practical project implementation.
Contribute to use case qualification: assess data availability and quality, effort, risk and expected return, and support the demand intake and prioritization process. Follow regulations in place (EU AI Act, GDPR) and internal processes (Security).
Identify and source relevant data: locate the right internal and external data, assess its quality, ownership and suitability, and prepare it for analytical use.
Work through the Enterprise Data Layer and Data Product Catalogue: consume governed data products when they exist, feed gaps back to the Enterprise Data Architect and data-product owners rather than building one-off extracts (Create once, deploy multiple times).
Integrate tools such as Python and R into the analytics landscape incl. notebooks, libraries, and their use within Microsoft Fabric and the enterprise data platform.
Apply sound data engineering practices: version control, code review, environment management, testing, and repeatable pipelines for data preparation and model training.
Help define the CoE's methods and standards: reference approaches, templates, model documentation, evaluation criteria, and the path from prototype to production.
Evaluate new methods and tools: assess their fit for Accelleron and make pragmatic recommendations on what to adopt.
Enable AI citizen: provide guardrails, templates, training and coaching so business users can apply advanced analytics safely and effectively.
Advise the citizen community on method choice: when self-service analytics is appropriate, when a CoE-delivered solution is the better answer, and where the risks lie.
Share best practices and collaborate across Digital and IS teams MS Copilot Studio CoE, process engineers, application owners, and the Digital AI team, to reuse assets rather than duplicate capability.
Contribute to communities of practice to raise AI & data literacy across the organization.

Rahmenbedingungen

Pensum: 80-100%

Data Science & AI Specialist (m/f/d) (80-100%)

Über den Job

Über den Job

Aufgaben

Rahmenbedingungen

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