Economist: Causal ML for Growth & Ads
Economist: Causal ML for Growth & Ads

Economist: Causal ML for Growth & Ads

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • 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 proficiency in Python or R required.
  • Other info: Collaborative team environment with diverse perspectives.

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 Growth & Ads employer: Amazon Jobs

As a leading online retailer in Greater London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from comprehensive growth opportunities, competitive compensation, and a supportive environment that values diverse perspectives. Join us to make a meaningful impact while working alongside talented professionals dedicated to solving real-world business challenges.
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Contact Detail:

Amazon Jobs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Economist: Causal ML for Growth & Ads

✨Tip Number 1

Network like a pro! Reach out to professionals in the field of economics and machine learning. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your econometric frameworks and any projects you've worked on using Python or R. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.

✨Tip Number 3

Prepare for those interviews! Brush up on your analytical skills and be ready to discuss how you would tackle real-world business challenges using causal ML. Practice common interview questions and think about how your experience aligns with the role.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team.

We think you need these skills to ace Economist: Causal ML for Growth & Ads

Econometrics
Machine Learning
Python
R
Analytical Skills
Writing Skills
Framework Development
Collaboration
Business Decision Influence

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your proficiency in Python or R in your application. We want to see how you can leverage these tools to tackle real-world business challenges, so don’t hold back!

Tailor Your Writing: When crafting your application, tailor your writing to reflect the job description. Use similar language and focus on your analytical skills and experience in econometrics to show us you’re the perfect fit.

Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Highlight your PhD in Economics and any relevant projects that demonstrate your ability to develop econometric frameworks.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our innovative team.

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 business challenges. 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 that relate to econometrics and data analysis. This will help us see your technical capabilities in action.

✨Prepare for Team Collaboration Questions

As collaboration is crucial, think of examples where you've worked with diverse teams. Be ready to discuss how you influenced decisions through your analytical insights. This will highlight your ability to communicate complex ideas effectively.

✨Craft Your Story

Your writing skills matter too! Prepare a concise narrative about your journey in economics, focusing on your PhD work and any relevant projects. This will not only showcase your analytical prowess but also your ability to convey complex information clearly.

Economist: Causal ML for Growth & Ads
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  • Economist: Causal ML for Growth & Ads

    Full-Time
    36000 - 60000 £ / year (est.)
  • A

    Amazon Jobs

    10000+
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