At a Glance
- Tasks: Build predictive models and lead data strategies to drive marketing decisions.
- Company: Award-winning SaaS organisation transforming the SME marketplace.
- Benefits: Long contract, hybrid work, and free breakfast.
- Why this job: Join a global team and make impactful decisions in marketing science.
- 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.
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 employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist - Measurement Specialist
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
β¨Tip Number 2
Prepare for interviews by practising common questions related to data science and marketing analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
β¨Tip Number 3
Showcase your skills through projects! Create a portfolio of your work, especially any predictive models or analyses you've done. This will give you an edge and demonstrate your hands-on experience to potential employers.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist - Measurement Specialist
Some tips for your application π«‘
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 the perfect fit for this role. Mention your experience in marketing science and how you can contribute to the company's goals, especially in guiding key marketing investment decisions.
Showcase Your Soft Skills: While technical skills are crucial, donβt forget to highlight your soft skills too! Communication, teamwork, and problem-solving abilities are essential in this role, so give examples of how you've used these skills in past experiences.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itβs 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
β¨Know Your Data Inside Out
Make sure youβre well-versed in the specifics of data science, especially in areas like predictive modelling and causal experimentation. Brush up on your SQL skills and be ready to discuss how you've used advanced queries in past projects.
β¨Showcase Your Soft Skills
While technical skills are crucial, donβt forget to highlight your soft skills too! Communication and teamwork are key in a hybrid role, so prepare examples that demonstrate how youβve effectively collaborated with marketing teams or led projects.
β¨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to forecasting or marketing investment decisions. Think through how you would approach these scenarios and be ready to explain your thought process clearly.
β¨Familiarise Yourself with the Companyβs Tools
Research the specific tools and technologies the company uses, especially around Data Clean Rooms and Meta Advanced Analytics. Showing that you have a grasp of their systems will set you apart and demonstrate your proactive nature.