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- Tasks: Drive data-driven decisions using econometrics and machine learning for digital ad strategies.
- Company: Leading digital services company in Greater London with a focus on innovation.
- Benefits: Permanent position with competitive salary and opportunities for collaboration.
- Why this job: Make a real impact on business strategies with your expertise in economics.
- Qualifications: PhD in Economics and proficiency in Python and R required.
- Other info: Join a diverse team of economists and data scientists in Hackney.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital services company in Greater London seeks an Economist to drive data-driven decisions using econometrics and machine learning. This role involves estimating the impacts of large-scale investments and developing econometric frameworks.
Candidates should possess a PhD in Economics, along with proficiency in statistical tools such as Python and R. The position offers an opportunity for collaboration with a diverse team of economists and data scientists to effectively influence business strategies. This position is permanent and located in Hackney, London.
Lead Economist: Causal ML for Digital Ad Strategy employer: Amazon.com, Inc
Contact Detail:
Amazon.com, Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Economist: Causal ML for Digital Ad Strategy
✨Tip Number 1
Network like a pro! Reach out to fellow economists and data scientists on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your econometric frameworks and any projects using Python or R. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of causal ML and its applications in digital ad strategy. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Economist: Causal ML for Digital Ad Strategy
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your PhD in Economics and your proficiency in statistical tools like Python and R. We want to see how your skills can drive data-driven decisions in our team!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to reflect how their experience aligns with the role of Lead Economist. Show us why you’re the perfect fit!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences at a glance.
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 Amazon.com, Inc
✨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 digital advertising strategies.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in Python and R. Prepare to talk about specific projects where you've used these tools to analyse data or build models, as this will show your practical experience.
✨Collaborative Mindset
Since this role involves working with a diverse team, be prepared to discuss your experiences in collaborative environments. Highlight any instances where you’ve successfully worked with economists or data scientists to influence business decisions.
✨Prepare for Case Studies
Expect to tackle case studies or hypothetical scenarios during the interview. Practice articulating your thought process in estimating impacts of investments and developing econometric frameworks, as this will showcase your analytical skills.
