Data Scientist - Experimentation & Ads Analytics

Data Scientist - Experimentation & Ads Analytics

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Principle

At a Glance

  • Tasks: Analyse data to drive experimentation and optimise ad performance.
  • Company: Leading analytics firm focused on innovation and growth.
  • Benefits: Attractive salary, flexible hours, remote work options, and skill development.
  • Other info: Fast-paced environment with opportunities for career advancement.
  • Why this job: Join a team that shapes the future of advertising through data-driven insights.
  • Qualifications: Strong analytical skills and experience with data science tools.

The predicted salary is between 36000 - 60000 £ per year.

Senior Data Scientist - Experimentation

Data Scientist - Experimentation & Ads Analytics employer: Principle

As a Cloud Security Specialist with a Global Tech Giant, you'll enjoy a competitive salary of up to £97,000 and the flexibility of fully remote work from anywhere in the UK. The company fosters a supportive work culture that values your expertise in cloud security, offering opportunities for professional growth and the chance to engage directly with enterprise customers, all while ensuring a healthy work-life balance without the stress of on-call duties.

Principle

Contact Details:

Principle Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist - Experimentation & Ads Analytics

Tip Number 1

Network like a pro! Reach out to folks in the data science community, especially those working in experimentation and ads analytics. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your past projects, especially those related to experimentation. We want to see how you tackle real-world problems with data!

Tip Number 3

Ace the interview! Brush up on your technical skills and be ready to discuss your thought process. We love candidates who can explain their approach to experimentation clearly and confidently.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate data scientists who are eager to make an impact.

We think you need these skills to ace Data Scientist - Experimentation & Ads Analytics

Data Analysis
Statistical Modelling
A/B Testing
Machine Learning
Python
R
SQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with experimentation and analytics, and don’t forget to showcase any relevant projects or tools you've used that align with our needs.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills can contribute to our team. Be specific about your experience with ads analytics and experimentation.

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love seeing how you approach challenges, especially in the context of data-driven decision-making.

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’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Principle

Know Your Data Science Fundamentals

Brush up on your core data science concepts, especially those related to experimentation and analytics. Be prepared to discuss statistical methods, A/B testing, and how you’ve applied these in past projects.

Showcase Your Problem-Solving Skills

Prepare to walk through a case study or a real-world problem you've solved using data. Highlight your thought process, the tools you used, and the impact of your solution. This will demonstrate your analytical skills and practical experience.

Familiarise Yourself with Their Tools

Research the specific tools and technologies the company uses for data analysis and experimentation. If they mention using Python, R, or specific analytics platforms, make sure you can discuss your experience with them confidently.

Ask Insightful Questions

Prepare thoughtful questions about the company's approach to experimentation and how they measure success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.