Join to apply for the Data Scientist - Automotive role at Hashlist
Join to apply for the Data Scientist - Automotive role at Hashlist
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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 Turin, Italy.
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.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology and Engineering
* Industries
Motor Vehicle Manufacturing, Motor Vehicle Parts Manufacturing, and Software Development
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