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- Tasks: Develop Marketing Mix Models to boost marketing effectiveness using PyMC.
- Company: Leading staffing agency with a focus on innovation and data-driven solutions.
- Benefits: Flexible remote work, competitive pay, and a chance to work with large datasets.
- Why this job: Make a real impact in marketing while honing your data science skills.
- Qualifications: Experience with Python, SQL, and statistical modelling; master's or PhD preferred.
- Other info: 6-month contract role with opportunities for growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading staffing agency is seeking a skilled Data Scientist for a 6-month contract role in London. This position involves developing Marketing Mix Models (MMM) to enhance marketing effectiveness while leveraging PyMC and a strong understanding of statistical modelling.
Candidates should have proven experience with large datasets and excellent proficiency in Python, SQL, and spreadsheet tools. A master's or PhD in a relevant field is preferred. This role offers flexible remote working opportunities.
Marketing MMM Data Scientist (PyMC) – Remote/Hybrid employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing MMM Data Scientist (PyMC) – Remote/Hybrid
✨Tip Number 1
Network like a pro! Reach out to professionals in the marketing and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Marketing Mix Models and any projects using PyMC. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge. Be ready to discuss how you've tackled large datasets and the tools you've used, like Python and SQL.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles.
We think you need these skills to ace Marketing MMM Data Scientist (PyMC) – Remote/Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Marketing Mix Models and your proficiency in Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 makes you a perfect fit for this role. We love seeing enthusiasm and a personal touch.
Showcase Your Data Skills: Since this role involves working with large datasets, include examples of your past work that demonstrate your ability to handle and analyse data effectively. We’re keen to see your statistical modelling expertise in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Lorien
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ve worked with. Be ready to discuss specific examples of how you've used large datasets to develop Marketing Mix Models. This will show your practical experience and understanding of the role.
✨Brush Up on PyMC and Statistical Modelling
Since this role heavily involves PyMC, it’s crucial to review your knowledge of Bayesian statistics and how to implement models using this library. Prepare to explain your modelling choices and the impact they had on marketing effectiveness.
✨Showcase Your Python and SQL Skills
Be prepared to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice coding challenges and SQL queries beforehand.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current marketing strategies and how they measure success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
