At a Glance
- Tasks: Develop and deliver advanced econometric models to optimise marketing strategies.
- Company: Join evoke, a forward-thinking company with a focus on innovation.
- Benefits: Enjoy a hybrid work model and competitive financial benefits.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact in marketing through data-driven insights and leadership.
- Qualifications: Advanced experience in Marketing Mix Modelling and proficiency in Python or R, and SQL.
The predicted salary is between 35000 - 45000 £ per year.
evoke is seeking a skilled individual to join their Econometrics team, focusing on developing and delivering econometric models. The role requires advanced experience in Marketing Mix Modelling (MMM), alongside proficiency in Python or R, and SQL. Candidates should possess a degree in a numerate field. The position supports internal stakeholders and emphasizes optimization within marketing strategies. Enjoy a hybrid work model with up to four days at home and competitive financial benefits.
Senior MMM Econometrician | Hybrid & Leadership employer: evoke
At evoke, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and a hybrid work model that promotes work-life balance, allowing you to excel in your role as a Senior MMM Econometrician while enjoying the flexibility of working from home. Our competitive financial benefits further enhance the rewarding experience of being part of a dynamic team dedicated to optimising marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior MMM Econometrician | Hybrid & Leadership
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like evoke.
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When you find a suitable opening like Senior MMM Econometrician | Hybrid & Leadership at evoke, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior MMM Econometrician | Hybrid & Leadership
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at evoke, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at evoke. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at evoke
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at evoke!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
