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  • Data Scientist - Automotive Luxembourg
  • Hashlist in Luxembourg, , Luxembourg
  • jobs
  • 1 month ago

jobs description

Hashlist is a platform for tech positions & projects within the automotive sector.

We work with some of the largest OEMs, Tier1s, and Ecosystem Players developing for the automotive sector to help them fill on-demand tech talent gaps faster.

Are you ready to be a part of that journey? We are now looking for a Data Scientist in Luxembourg.

Responsibilities:
• Collect, process, and clean data from various automotive systems and sources, including vehicle telemetry, customer usage patterns, manufacturing processes, and external datasets, to prepare it for analysis.
• Perform in-depth data analysis using statistical methods and data analytics tools to identify trends, patterns, and insights that can inform product development, operational improvements, and strategic decision-making.
• Develop and maintain dashboards, reports, and visualizations to communicate findings and recommendations to both technical and non-technical stakeholders within Hashlist and its automotive partners.
•... Collaborate with cross-functional teams to define data analysis requirements and objectives, ensuring that data analysis projects align with business goals and contribute to the enhancement of automotive products and services.
• Apply machine learning algorithms and predictive modeling techniques to forecast trends, optimize operations, and enhance vehicle performance and customer experiences.
• Ensure data integrity and compliance with data protection regulations and best practices, managing data securely and ethically.
• Provide analytical support for ad-hoc queries and projects, contributing to the overall data-driven culture within the organization.

Qualifications:
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field, with a strong emphasis on quantitative analysis.
• Proven experience in data analysis, with expertise in using statistical software and programming languages such as Python, R, SQL, or similar tools for data manipulation and analysis.
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Google Data Studio) and the ability to create impactful reports and dashboards.
• Familiarity with machine learning techniques and tools, and experience applying these methods to real-world datasets to solve complex problems.
• Excellent analytical and problem-solving skills, with the ability to interpret complex data sets and provide actionable insights.

Next steps:
• Press "Apply"
• We will review your application
• If qualified, you will be accepted into the network and can be considered for this and similar positions & projects
Luxembourg

salary-criteria

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