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For Companies At a Glance
- Tasks: Build predictive models and lead data strategies for impactful marketing decisions.
- Company: Award-winning SaaS organisation transforming the SME marketplace.
- Benefits: Long contract, hybrid work, and free breakfast to fuel your day.
- Why this job: Join a global team and shape the future of marketing analytics.
- Qualifications: 3+ years in data analytics, advanced SQL skills, and a relevant degree.
- Other info: Dynamic role with opportunities for professional growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Our client, an award winning SaaS organisation providing software solutions to the SME marketplace, is now seeking an experienced Data Scientist for a 12 month contract. You will be assisting in the company transition from correlation-based reporting to causal-based decision making, helping guide key marketing investment decisions. Central London location, hybrid, with 3 days a week in the office.
Responsibilities
- Forecasting: Build predictive models to simulate business outcomes under various economic and budgetary scenarios, acting as the "radar" for the marketing department.
- Serve as the analyst lead for the Data Clean Room (DCR) strategy, specifically within Meta Advanced Analytics (AA).
- SQL: Write and optimize advanced SQL queries.
- Learning Agenda & Causal Experimentation: Design and execute rigorous Conversion Lift Studies (CLS) and Brand Lift Studies (BLS).
Skills
- 3+ years of experience working in marketing science or data analytics teams.
- B.Sc. Economics, Statistics, Mathematics or Data Science.
- SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems.
- Experience with Marketing Mix Models (MMM). Understanding of Bayesian inference, Adstock transformations, and saturation curves.
Useful experience
- Hands-on experience with at least one major DCR environment.
- Deep understanding of hypothesis testing, confidence intervals, p-values, and selection bias.
- Understanding of AdTech and paid media mechanics, margin profiles.
Benefits
- Global company, long contract
- Hybrid role
- Free breakfast
Data Scientist - Measurement Specialist in London employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Measurement Specialist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and SQL queries. Share your projects on platforms like GitHub or LinkedIn to grab the attention of hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on causal experimentation and marketing mix models. Be ready to discuss your experience with Conversion Lift Studies and how you've applied your analytical skills in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist - Measurement Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and marketing analytics. We want to see how your skills align with the responsibilities listed, like building predictive models and optimising SQL queries.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about transitioning to causal-based decision making and how your background makes you the perfect fit for this role.
Showcase Relevant Projects: If you've worked on any projects related to Marketing Mix Models or Conversion Lift Studies, make sure to mention them. We love seeing real-world applications of your skills!
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.
How to prepare for a job interview at EF Recruitment
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to causal inference and marketing analytics. Be ready to discuss how you've applied these principles in past projects, particularly in building predictive models or conducting Conversion Lift Studies.
✨SQL Skills on Display
Since advanced SQL is a key requirement, prepare to showcase your skills. Practice writing complex queries, optimising joins, and using window functions. You might even be asked to solve a problem on the spot, so be confident and clear in your thought process.
✨Understand the Business Context
Familiarise yourself with the company's transition from correlation-based reporting to causal decision-making. Think about how your role as a Data Scientist can impact marketing investment decisions and be ready to share your insights on this shift during the interview.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their Data Clean Room strategy and how they measure success in their marketing efforts. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
