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For Companies At a Glance
- Tasks: Join us to optimize auction mechanics and build predictive models that drive business growth.
- Company: Motorway is a dynamic IT services company focused on innovative data solutions.
- Benefits: Enjoy hybrid work options and the chance to make a marketplace-wide impact.
- Why this job: Be part of a creative team that values data-driven solutions and personalisation.
- Qualifications: Experience in Python, CI/CD, AWS, and GCP is essential for this role.
- Other info: This position offers a unique opportunity to influence our marketplace at scale.
The predicted salary is between 43200 - 72000 £ per year.
Join Motorway’s Marketplace team as a Senior Data Scientist to optimise auction mechanics, build predictive models, enhance personalisation, and drive business growth with creative, data-driven solutions that deliver marketplace-wide impact at scale.
Location: Hybrid (London, United Kingdom)
Department: Data Science
Key Technologies:
- Python
- CI/CD
- AWS
- GCP
Company: Motorway (201-500 employees, IT Services)
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Senior Data Scientist - Marketplace employer: Hirehoot
Contact Detail:
Hirehoot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Marketplace
✨Tip Number 1
Familiarize yourself with the specific auction mechanics used in marketplaces. Understanding how these systems work will allow you to demonstrate your ability to optimize them effectively during interviews.
✨Tip Number 2
Showcase your experience with predictive modeling by preparing examples of past projects where you've successfully implemented such models. Be ready to discuss the impact these had on business outcomes.
✨Tip Number 3
Highlight your proficiency in key technologies like Python, AWS, and GCP. Consider discussing specific tools or frameworks you've used within these platforms that are relevant to data science.
✨Tip Number 4
Prepare to discuss how you can enhance personalization in a marketplace setting. Think about creative, data-driven solutions you've developed in the past and how they could apply to Motorway's goals.
We think you need these skills to ace Senior Data Scientist - Marketplace
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position at Motorway. Understand the key responsibilities, required skills, and technologies mentioned, such as Python, CI/CD, AWS, and GCP.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly in auction mechanics and predictive modeling. Showcase any projects or roles where you used the key technologies listed in the job description.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data-driven solutions and how your background aligns with Motorway's goals. Mention specific examples of how you've driven business growth through data science in previous roles.
Highlight Your Impact: In both your CV and cover letter, emphasize the impact of your work. Use metrics and specific outcomes to demonstrate how your contributions have led to significant improvements or innovations in past positions.
How to prepare for a job interview at Hirehoot
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, CI/CD, AWS, and GCP. Highlight specific projects where you utilized these technologies to solve complex problems or optimize processes.
✨Demonstrate Your Problem-Solving Abilities
Prepare to present examples of how you've built predictive models or enhanced personalization in previous roles. Use data-driven results to illustrate the impact of your work on business growth.
✨Understand Auction Mechanics
Familiarize yourself with auction mechanics and how they apply to marketplaces. Be ready to discuss how you would approach optimizing these mechanics using data science techniques.
✨Communicate Clearly and Effectively
Since the role involves driving marketplace-wide impact, practice explaining complex data concepts in a clear and concise manner. This will demonstrate your ability to collaborate with cross-functional teams.
