Senior Data Scientist - MMM
Entain is hiring a Senior Data Scientist - MMM in London, United Kingdom. Level rates it ; you can apply on Entain.
Level's read on this job
- Little AI ●○○○ is how Level rates this data scientist role: aI is not part of the work.
- Tools and skills the posting cites include marketing mix modeling, data pipelines and python.
- Level classifies it as a senior role.
- Level lists 265 other open roles at Entain.
- The role was posted within the past week.
AI in this role
Own end-to-end Marketing Mix Modelling (MMM) to measure marketing effectiveness and optimize media spend at Entain.
Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together.
How we measure and optimise our marketing effectiveness is key to how we grow. We're a UK&I-focused marketing analytics team, working directly with the marketing teams to understand what's working and where to invest next, and MMM sits at the heart of that.
This is a high impact analytical role that will report to the Head of UK Marketing Analytics, owning and leading Marketing Mix Modelling (MMM) for our UK&I brands. You'll be our MMM expert, responsible for the data pipelines, the modelling, and the insights and recommendations that come out of it. It's a chance to shape how MMM is built and used across our UK&I business, with real influence over how we invest in marketing.
The purpose of the role is to use MMM to measure performance and allocate marketing budget across our acquisition teams and channels, improving efficiency and ROI. More broadly, the role will challenge our marketing teams to think and work differently to get better results.
Key Responsibilities
- Own UK&I MMM end to end, leading the design and ongoing refinement across our brands, products and customer lifecycle, and setting the methodology.
- Own the data pipelines that feed the MMM:
- make sure the data is accurate and reliable
- resolve data quality issues
- build new pipelines where needed
- Validate and stress test model outputs so results are robust and trusted before they're used to make decisions.
- Turn model outputs into clear recommendations on budget allocation, channel mix and media planning, including budget optimisation scenarios.
- Partner closely with marketing, finance and our media agency to embed MMM into planning and influence big decisions such as budget setting.
- Work with our media agency on testing and experimentation, building a feedback loop between MMM and experiments so each one informs the other.
- Communicate complex findings clearly to senior stakeholders, including non-technical audiences, through presentations, reports and documentation.
- Act as our expert on MMM methodology, validation and best practice, keeping up with new methods and using them to keep improving what we do.
Essential:
- Proven, hands-on experience building and running MMMs end to end in a commercial setting, with a track record of owning a model and making it something the business relies on.
- Degree in Economics, Econometrics, Statistics or a related field, or equivalent practical experience.
- Strong proficiency in R or Python, with a deep understanding of econometric techniques, time-series analysis and regression, and experience with modern MMM approaches.
- Strong SQL and experience building and maintaining data pipelines and working with large datasets.
- Able to operate as our subject-matter expert, setting direction and driving work forward independently.
- Able to explain complex econometric concepts clearly to senior stakeholders.
- Strong quantitative and analytical skills, with a high level of attention to detail.
Desired:
- Experience in the Gambling industry or similar.
- Experience working with media agencies and with marketing and finance teams.
- Experience combining MMM with experiments such as geo or holdout tests, or with attribution.
- Experience with cloud data platforms and data visualisation tools.
- Familiarity with machine learning applications in econometrics.
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in London, you can expect to receive great benefits like:
- Hybrid working - 2 days per week in the office
- Private medical insurance
- Pension Scheme - matched to 6%
- Free subscription to wellbeing app Unmind
- Entain & Enhance days – 2 paid days off to focus on your professional or personal development
And outside of this, you'll have the chance to turn recognition from leaders and colleagues into amazing prizes, join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.
Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Equal Opportunities.
If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.
We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.
We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on race, colour, nationality, ethnic or national origin, religion or belief, sex, gender identity or expression, sexual orientation, age, disability, marital or civil partnership status, pregnancy or maternity, or any other status protected by law.
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.
#LI-Hybrid
How we rate this
Senior Data Scientist - MMM at Entain rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $167k
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Questions you could be asked
- Tell me about a project where marketing mix modeling was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
- Tell me about a project where r was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Marketing Mix Modeling, Data Pipelines, Python, R, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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