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Job Description: Vehicle Engineering Data Scientist
Responsibilities:
Develop and implement complex data models and algorithms to extract business insights from large data volumes.
Utilize Excel, PowerBi, and Python to analyze data, create visualizations, and automate processes.
Create dashboards to summarize complex data within PowerBi.
Design and maintain data structures to support data analysis and predictive modeling.
Use PowerAutomate and VBA to create automations and streamline data processing.
Leverage Microsoft AI Builder and Azure AI Foundry Developer tools to integrate AI solutions.
Identify hidden patterns and gaps in data to provide actionable insights.
Prepare data for analysis and input into predictive models or for training data.
Communicate findings effectively to stakeholders, telling the story of the data through clear and compelling visualizations and reports.
Qualifications:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
Online courses completed within LinkedIn, Google etc.
Skills
Strong analytical and problem-solving skills.
Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders.
Ability to work independently and collaboratively in a fast-paced environment.
Experience:
Proven experience with Excel (complex formulas, pivot tables, VB scripting), PowerBi, PowerAutomate, Sharepoint, and Python.
Familiarity with Microsoft AI Builder and Azure AI Foundry Developer is a plus.
Experience with defining data structures and preparing data for analysis.
Experience with VS Code and VBA.
Knowledge of large language models (LLM) and their applications.
Ability to automate work through analytics and AI solutions.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
IT Services and IT Consulting
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