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- Tasks: Drive plant efficiency and analyze complex manufacturing data using cutting-edge tools.
- Company: Join a dynamic team at a state-of-the-art automotive manufacturing site in Liverpool.
- Benefits: Enjoy a permanent role with opportunities for growth and skill development.
- Why this job: Be part of a groundbreaking transformation in the automotive industry and lead a digital/data science team.
- Qualifications: 5+ years of experience with a degree in Data Analytics, Computer Science, or related fields required.
- Other info: This is a fully onsite role; no sponsorship available for 4 years.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Are you ready to be a key player in a groundbreaking transformation within the automotive industry? We are looking for a talented Data Scientist to join our dynamic team at a state-of-the-art manufacturing site undergoing a monumental transformation.
Role: Manufacturing Data Scientist
Location: Liverpool, UK – L24 9LE
Work Mode: Fully Onsite
Role Type: Permanent (No sponsorship will be provided for 4 years)
Experience: 5+ years
Responsibilities:
- Drive plant efficiency using data science.
- Analyze and visualize complex manufacturing data.
- Develop dashboards and support various teams.
- Build a digital/data science team and deliver training.
Tech Stack:
- SQL, Python
- Big Data tools (eg, Hadoop, Spark)
- Cloud platforms (eg, AWS, Azure)
- Data visualization (eg, Power BI, Tableau)
- ETL tools (eg, Apache NiFi, Talend)
Requirements:
- Degree in Data Analytics, Computer Science, Statistics, Mathematics, or related field.
- Proven problem-solving and automation skills.
- Strong leadership and teamwork abilities.
If you’re ready to take your skills to the next level and make a difference in a dynamic environment, we want to hear from you! Apply now or send your CV.
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Manufacturing Data Scientist employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manufacturing Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tech stack mentioned in the job description. Make sure you can confidently discuss your experience with SQL, Python, and any big data tools like Hadoop or Spark during the interview.
✨Tip Number 2
Prepare to showcase your problem-solving skills by discussing past projects where you've successfully analyzed complex manufacturing data. Highlight how your insights led to improved efficiency.
✨Tip Number 3
Since leadership is a key aspect of this role, think of examples where you've led a team or project. Be ready to explain how you would build and train a digital/data science team.
✨Tip Number 4
Research the company’s current initiatives in the automotive industry transformation. Being knowledgeable about their goals will help you align your answers with their vision during the interview.
We think you need these skills to ace Manufacturing Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Manufacturing Data Scientist position. Highlight the key responsibilities and required skills, such as experience with SQL, Python, and data visualization tools.
Tailor Your CV: Customize your CV to reflect your relevant experience in data science and manufacturing. Emphasize your problem-solving skills and any leadership roles you've held, as these are crucial for this position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the automotive industry and your ability to drive plant efficiency through data science. Mention specific projects or achievements that demonstrate your expertise.
Highlight Technical Skills: In your application, make sure to clearly list your technical skills related to the job, such as experience with Big Data tools, cloud platforms, and ETL tools. This will help you stand out as a qualified candidate.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and big data tools like Hadoop or Spark. Highlight specific projects where you've successfully utilized these technologies to drive plant efficiency.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex manufacturing data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Emphasize Leadership and Teamwork
Since the role involves building a digital/data science team, be ready to share your experiences in leading teams and collaborating with others. Discuss how you foster a positive team environment and support your colleagues.
✨Prepare for Behavioral Questions
Expect questions that assess your adaptability and how you handle change, especially given the monumental transformation in the automotive industry. Think of examples that illustrate your resilience and flexibility.
