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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.
Locations
Data Scientist - Measurement Specialist in London, Victoria 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, Victoria
✨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. This is your chance to demonstrate your expertise in causal experimentation and marketing science, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Marketing Mix Models and Bayesian inference. Be ready to discuss how you've applied these concepts in real-world scenarios, as this will show you're not just book-smart but also practical.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data Scientist - Measurement Specialist in London, Victoria
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with predictive models, SQL skills, and any relevant projects that showcase your ability to transition from correlation-based reporting to causal decision making.
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 background aligns with the responsibilities listed in the job description. Don’t forget to mention your experience with Marketing Mix Models and causal experimentation.
Showcase Your Skills: In your application, be sure to highlight your advanced SQL skills and any hands-on experience with Data Clean Rooms. Mention specific tools or methodologies you've used, like Bayesian inference or Adstock transformations, to demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at EF Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your data science fundamentals, especially around causal inference and marketing mix models. Be ready to discuss how you've applied these concepts in previous roles, as this will show your potential employer that you can hit the ground running.
✨SQL Skills Are Key
Since advanced SQL is a must for this role, practice writing complex queries before your interview. Be prepared to explain your thought process when optimising joins or using window functions, as this will demonstrate your technical prowess and problem-solving skills.
✨Showcase Your Analytical Mindset
Prepare examples of how you've used data to drive marketing decisions in the past. Discuss any experience with Conversion Lift Studies or Brand Lift Studies, as this will highlight your ability to contribute to the company's transition to causal-based decision making.
✨Understand the Company’s Needs
Research the company and its position in the SaaS market. Familiarise yourself with their products and how they serve SMEs. This knowledge will help you tailor your answers to align with their goals and demonstrate your genuine interest in the role.
