At a Glance
- Tasks: Lead the development of analytics solutions for Retail Media Networks.
- Company: Join a forward-thinking company focused on data-driven insights.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team environment with potential for career advancement.
- Why this job: Make a significant impact in retail media analytics with cutting-edge technology.
- Qualifications: Expertise in data science, Python, SQL, and machine learning required.
The predicted salary is between 63000 - 77000 £ per year.
SMG is seeking a Senior Data Scientist to lead the technical development of measurement and analytics across our Retail Media Networks. You will design, code, test and validate analytical solutions while building a small team and partnering with Data Engineering, Platform and Product to scale methodologies into production.
The role requires expertise in attribution, causal inference, regression, forecasting, segmentation and machine learning, with strong Python and SQL skills and hands-on cloud experience.
Senior Data Scientist - Retail Media Analytics Lead in Nottingham employer: SMG
At SMG, we pride ourselves on being an excellent employer by offering a supportive work culture that values your skills and contributions. With flexible scheduling and the opportunity to make a real difference in the community through our partnerships with local housing charities, you will find meaningful and rewarding employment while enjoying opportunities for personal and professional growth in Gloucester.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Retail Media Analytics Lead in Nottingham
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We think you need these skills to ace Senior Data Scientist - Retail Media Analytics Lead in Nottingham
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SMG. 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 SMG
✨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!
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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
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✨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.
