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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 environment with opportunities for professional growth.
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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and marketing fields. Attend industry meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and SQL queries. Use platforms like GitHub to share your projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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 used data to drive decisions. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Scientist role. Plus, it’s a great way to stay updated on new opportunities tailored just for you.
We think you need these skills to ace Data Scientist - Measurement Specialist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, predictive modelling, and any relevant projects that showcase your skills in marketing science or data analytics.
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 aligns with the responsibilities outlined in the job description.
Showcase Relevant Skills: Don’t forget to emphasise your advanced SQL skills and any hands-on experience with Data Clean Rooms. Mention specific tools or methodologies you’ve used, like Marketing Mix Models or Bayesian inference, 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 get you one step closer to joining our team!
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.
✨Show Off Your SQL Skills
Since advanced SQL is a key requirement, prepare to demonstrate your ability to write complex queries. You might be asked to solve a problem on the spot, so practice optimising joins and using window functions beforehand.
✨Understand the Business Context
Familiarise yourself with the company's SaaS solutions and their target market. Being able to connect your technical skills to real-world business outcomes will show that you understand the bigger picture and can contribute effectively.
✨Prepare for Hypothetical Scenarios
Expect questions that test your problem-solving abilities in hypothetical situations. Think about how you would approach a new marketing challenge using data-driven decision-making, and be ready to explain your thought process clearly.
