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- Tasks: Design and deploy ML models to enhance delivery quality and trust.
- Company: Join a leading tech disruptor reshaping online goods and services.
- Benefits: Enjoy a hybrid work model with competitive salary and growth opportunities.
- Why this job: Be part of a talented team making a real impact in the tech industry.
- Qualifications: Experience in Python, SQL, and large-scale data processing is essential.
- Other info: Opportunity to mentor fellow data scientists and lead scientific direction.
The predicted salary is between 75600 - 84000 £ per year.
Staff Data Scientist Salary: £90K – £100K Location: London – Hybrid Overview: Data Idols are working with a leading disruptor in the tech industry that is fundamentally reshaping how goods and services move in the online era. Backed by record-breaking investment and scaling faster than almost any other startup, they\’re building one of the most talented data and engineering teams in Europe. The Opportunity: You will join a high-impact team focused on improving delivery quality and trust. From lost parcels to fraudulent behaviours, you\’ll develop cutting-edge models and infrastructure to detect, prevent, and resolve issues before they scale, ensuring trust, efficiency, and world-class customer experience. Using Python, SQL, cloud-native infrastructure, and large-scale data processing tools, you\’ll develop production-grade ML models that power live decision-making. What You\’ll Be Doing: Designing and deploying production-grade ML models that drive live decision-making. Applying computer vision Building fraud and anomaly detection models using geospatial and behavioural signals. Partnering with engineers to scale pipelines, compliance monitors, and detection systems. Leading scientific direction and mentoring other data scientists to maximise impact.If you are a Staff Data Scientist looking for a high-impact role where your expertise directly shapes a fast-scaling network, please submit your CV for initial screening and more details. Staff Data Scientist
Staff Data Scientist employer: Data Idols
Contact Detail:
Data Idols Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and data science, especially in areas like fraud detection and anomaly detection. Being able to discuss recent advancements or case studies during your interview can really set you apart.
✨Tip Number 2
Showcase your experience with Python and SQL by preparing examples of projects where you've successfully implemented these technologies. Be ready to explain your thought process and the impact of your work on previous teams or projects.
✨Tip Number 3
Network with current employees or alumni from your university who work in similar roles. They can provide insights into the company culture and the specific challenges the team is facing, which can help you tailor your approach during interviews.
✨Tip Number 4
Prepare to discuss how you would approach building production-grade ML models. Think about the end-to-end process, from data collection to model deployment, and be ready to share your strategies for ensuring quality and efficiency.
We think you need these skills to ace Staff Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Python, SQL, and machine learning. Emphasise any projects or roles where you've designed and deployed ML models, as this is crucial for the position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the company's mission. Mention specific examples of how your skills can contribute to improving delivery quality and trust, as outlined in the job description.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in areas like computer vision, fraud detection, and large-scale data processing. Use bullet points to make this information easy to read and impactful.
Highlight Leadership Experience: Since the role involves mentoring other data scientists, be sure to include any leadership or mentoring experience you have. This could be formal roles or informal instances where you've guided colleagues or led projects.
How to prepare for a job interview at Data Idols
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and cloud-native infrastructure. Highlight specific projects where you've developed production-grade ML models, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Company’s Mission
Research the company’s impact on the tech industry and how they are reshaping online goods and services. Being able to articulate how your skills align with their mission will show your genuine interest in the role and the company.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities, especially related to fraud detection and anomaly identification. Practice explaining your thought process clearly and logically, as this is crucial for a data scientist.
✨Demonstrate Leadership and Mentoring Experience
Since the role involves leading scientific direction and mentoring other data scientists, be ready to share examples of how you've successfully led teams or mentored colleagues in previous positions. This will highlight your leadership potential.
