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For Companies At a Glance
- Tasks: Lead data projects, develop models, and mentor a team of Data Scientists.
- Company: Join a tech distributor that thrives on data-driven decision-making.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of innovation while making a real impact in the tech industry.
- Qualifications: Strong skills in Python, SQL, and GCP; experience in leading projects is essential.
- Other info: This role offers a chance to shape the future of data science in a dynamic environment.
The predicted salary is between 84000 - 96000 £ per year.
Lead Full-stack Data Scientist
Salary: 105K – 115K
Location: London – Hybrid working
Data Idols are working with a distributor in the tech industry who are looking for a Lead Full-stack Data Scientist to join the team. They are a data driven business who are looking for a technical leader. This role will report to the Head of Data Science and support the team of Data Scientists.
The Opportunity
They are seeking a Lead Full-stack Data Scientist to join the team to drive data, lead on strategic initiatives and develop cutting-edge models. They are looking for this person to provide technical leadership and lead projects end-to-end. Whilst acting as a mentor this person will be hands on delivering high performing solutions.
Skills and Experience
- Building and deploying models into production
- Strong Python
- SQL
- GCP exposure
- Leading projects end to end
If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Lead Full-stack Data Scientist
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Lead Full-stack Data Scientist employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Full-stack Data Scientist
✨Tip Number 1
Make sure to showcase your leadership skills during the interview. Prepare examples of how you've successfully led projects and mentored team members in the past, as this role requires strong technical leadership.
✨Tip Number 2
Brush up on your knowledge of GCP (Google Cloud Platform). Familiarise yourself with its tools and services, as being able to discuss your experience with deploying models in a cloud environment will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific projects where you've built and deployed models into production. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 4
Network with current employees or alumni from the company. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview process.
We think you need these skills to ace Lead Full-stack Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building and deploying models into production, as well as your proficiency in Python, SQL, and GCP. Use specific examples to demonstrate your technical leadership and project management skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience leading projects end-to-end and mentoring team members.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects you've worked on. Highlight your role, the technologies used, and the impact of the projects. This will help illustrate your hands-on experience and leadership capabilities.
Proofread and Edit: Before submitting your application, take the time to proofread and edit your documents. Ensure there are no grammatical errors or typos, as these can detract from your professionalism and attention to detail.
How to prepare for a job interview at Data Idols
✨Showcase Your Technical Skills
As a Lead Full-stack Data Scientist, you'll need to demonstrate your proficiency in Python, SQL, and GCP. Be prepared to discuss specific projects where you've built and deployed models into production, highlighting the challenges you faced and how you overcame them.
✨Emphasise Leadership Experience
Since this role involves leading projects and mentoring other Data Scientists, it's crucial to share examples of your leadership experience. Talk about how you've guided teams through complex projects and the impact your leadership had on the outcomes.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and understanding of data science concepts. Brush up on your knowledge of model development and deployment processes, as well as any relevant algorithms or frameworks.
✨Demonstrate Strategic Thinking
The company is looking for someone who can drive data initiatives and lead strategic projects. Be ready to discuss how you've approached strategic planning in previous roles, including how you align data science projects with business goals.
