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For Companies At a Glance
- Tasks: Lead data science projects and drive innovative solutions in eCommerce.
- Company: Join a stealth startup revolutionising online retail with cutting-edge data strategies.
- Benefits: Enjoy a hybrid work model and competitive salary up to £85,000.
- Why this job: Be part of a dynamic team shaping the future of eCommerce with impactful data-driven decisions.
- Qualifications: Experience in data science and leadership roles is essential.
- Other info: This is an exciting opportunity to influence a major launch in the industry.
The predicted salary is between 51000 - 119000 £ per year.
Up to £85,000
Manchester - Hybrid
I'm working with a well-funded stealth startup in the eCommerce space that's gearing up for a big launch. They're building a platform that rethinks how online retail works, with data and experimentation at the core of their approach.
They're now hiring a Data Science Manager to take ownership of the data science function.
Lead Data Scientist employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in eCommerce and data science. Understanding how data can transform online retail will not only help you in interviews but also show your genuine interest in the company's mission.
✨Tip Number 2
Network with professionals in the eCommerce and data science fields. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved data-driven decision-making. Be ready to explain your thought process, methodologies, and the impact of your work on business outcomes.
✨Tip Number 4
Showcase your leadership skills by discussing how you've successfully managed teams or projects in the past. Highlight your ability to mentor others and drive a data-centric culture within an organisation.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and expectations of a Lead Data Scientist. Highlight your experience with data science, experimentation, and eCommerce in your application.
Tailor Your CV: Customise your CV to reflect relevant skills and experiences that align with the job requirements. Emphasise your leadership abilities and any successful projects you've led in data science.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and eCommerce. Mention specific examples of how you've used data to drive business decisions and your vision for the role.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at iO Associates
✨Showcase Your Technical Skills
As a Lead Data Scientist, you'll need to demonstrate your expertise in data analysis, machine learning, and statistical modelling. Be prepared to discuss specific projects you've worked on, the tools you used, and the impact your work had on the business.
✨Understand the Company’s Vision
Research the stealth startup's mission and how they plan to innovate in the eCommerce space. Showing that you understand their goals and how data science can drive their success will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges or case studies during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to tackle complex problems.
✨Emphasise Leadership Experience
As a managerial role, it's crucial to highlight your leadership skills. Share examples of how you've led teams, mentored junior data scientists, and contributed to a collaborative work environment.
