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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 flexible working hours and a competitive salary between £95K – £115K.
- 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 unique opportunity to shape the future of data science in a dynamic environment.
The predicted salary is between 80000 - 120000 £ per year.
Salary: £95K – £115K
Location: London – Flexible working
Data Idols are working with a distributor in the tech industry who are looking for a Staff 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 Staff 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.
Staff Data Scientist employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist
✨Tip Number 1
Make sure to showcase your experience with building and deploying models into production during any discussions. Highlight specific projects where you've successfully led initiatives, as this will demonstrate your capability to take on a leadership role.
✨Tip Number 2
Familiarise yourself with the latest trends in data science, particularly in Python and SQL. Being able to discuss recent advancements or tools you've used can set you apart and show your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your experience with GCP (Google Cloud Platform) in detail. If you have specific examples of how you've utilised GCP for data projects, be ready to share those insights, as they will be highly relevant to the role.
✨Tip Number 4
Emphasise your mentoring experience when speaking with us. As a Staff Data Scientist, you'll be expected to guide junior team members, so sharing examples of how you've supported others in their development will be beneficial.
We think you need these skills to ace Staff Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with building and deploying models, 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 in leading data science projects and mentoring team members.
Showcase Relevant Projects: Include details of specific projects you've led or contributed to that involved end-to-end data science processes. Highlight any innovative models you developed and the impact they had on previous organisations.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Data Science Festival
✨Showcase Your Technical Skills
As a Staff 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
This role requires technical leadership and project management skills. Share examples of how you've led projects end to end, mentored junior team members, and contributed to strategic initiatives within your previous roles.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex data challenges, and be ready to discuss the methodologies you used to develop high-performing solutions.
✨Research the Company and Its Culture
Understanding the company's mission and values is crucial. Familiarise yourself with their data-driven approach and be ready to discuss how your vision aligns with theirs. This will show your genuine interest in the role and the organisation.
