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- Tasks: Enhance product offerings using data insights and build innovative product components.
- Company: Leading marketing tech company in Greater London with a focus on growth.
- Benefits: Hybrid working, private medical insurance, and extra leave for special occasions.
- Why this job: Join a dynamic team to drive product growth through cutting-edge data science.
- Qualifications: Over 4 years of experience in ML and data engineering with strong communication skills.
- Other info: Exciting opportunity for career advancement in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading marketing technology company in Greater London seeks a data scientist to enhance product offerings through data insights. This role involves building new product components, establishing measurement frameworks, and ensuring data quality.
The ideal candidate will have over 4 years' experience, proficient in ML and data engineering, with strong communication skills.
Benefits include hybrid working, private medical insurance, and extra leave days to celebrate important occasions.
Senior Data Scientist - Hybrid ML for Product Growth employer: Mention Me Ltd
Contact Detail:
Mention Me Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid ML for Product Growth
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or connect with industry professionals on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your ML and data engineering skills. We should be ready to discuss our past projects and how they relate to enhancing product offerings. Practice makes perfect!
✨Tip Number 3
Showcase our communication skills during the interview. We need to explain complex data concepts in simple terms, especially since this role involves collaboration with non-technical teams. Let’s keep it clear and engaging!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace Senior Data Scientist - Hybrid ML for Product Growth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing product offerings through data insights. Let us know what excites you about this role and our company.
Showcase Communication Skills: Since strong communication is key for this role, consider including examples of how you've effectively communicated complex data insights in the past. We love seeing candidates who can bridge the gap between data and stakeholders!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Mention Me Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the data science projects you've worked on. Be ready to discuss specific methodologies, tools, and outcomes. This will show your depth of knowledge and how you can apply it to enhance product offerings.
✨Showcase Your ML Skills
Prepare to talk about your experience with machine learning techniques. Bring examples of how you've used ML to drive product growth or improve data quality. This is your chance to demonstrate your technical prowess and its relevance to the role.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining complex data concepts in simple terms. You might be asked to present your findings or ideas, so clarity and confidence are crucial.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data strategies and future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.
