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- Tasks: Use econometrics and machine learning to solve real business challenges.
- Company: Leading online retailer in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by influencing business decisions with your expertise.
- Qualifications: PhD in Economics and skills in Python or R required.
- Other info: Join a diverse team dedicated to innovative solutions.
The predicted salary is between 36000 - 60000 £ per year.
A leading online retailer in Greater London is seeking an Economist to leverage econometrics and machine learning to address impactful business challenges. The ideal candidate will hold a PhD in Economics and possess proficiency in Python or R, along with strong analytical and writing skills.
Responsibilities include developing econometric frameworks and collaborating with a diverse team to influence business decisions. Join a team where innovative solutions meet real-world business needs.
Economist — Causal ML for Ads & Growth employer: Amazon Jobs
Contact Detail:
Amazon Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist — Causal ML for Ads & Growth
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of econometrics and machine learning. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your econometric frameworks or any projects you've done using Python or R. This is your chance to demonstrate your analytical prowess and writing skills. We recommend sharing this on platforms like GitHub or even your LinkedIn profile.
✨Tip Number 3
Prepare for those interviews! Research the company and its business challenges. Think about how your expertise can provide innovative solutions. We suggest practising common interview questions related to econometrics and machine learning to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your CV and cover letter to highlight your relevant experience and skills. We’re here to help you land that dream job, so don’t hesitate to reach out if you need any tips!
We think you need these skills to ace Economist — Causal ML for Ads & Growth
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python or R right from the start. We want to see how your technical skills can help us tackle those impactful business challenges!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates customise their applications to reflect how their experience aligns with our needs, especially in econometrics and machine learning.
Be Clear and Concise: When writing your application, clarity is key! We appreciate strong analytical and writing skills, so make sure your points are easy to understand and get straight to the point.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Amazon Jobs
✨Know Your Econometrics
Brush up on your econometric theories and frameworks. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in relation to ads and growth. This will show your depth of knowledge and practical experience.
✨Showcase Your Coding Skills
Since proficiency in Python or R is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding exercises related to data analysis and machine learning to feel confident.
✨Prepare for Team Collaboration Questions
As collaboration is crucial, think of examples where you've worked with diverse teams. Highlight your communication skills and how you’ve influenced decisions through teamwork. This will show that you can thrive in their collaborative environment.
✨Articulate Your Analytical Process
Be ready to explain your analytical approach clearly. Discuss how you identify business challenges and develop solutions using econometrics and machine learning. This will demonstrate your strategic thinking and problem-solving abilities.
