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For Companies At a Glance
- Tasks: Join us to analyse marketing effectiveness and build impactful models using data.
- Company: Be part of a leading global brand in premium lifestyle products.
- Benefits: Enjoy hybrid working, competitive salary, and potential for contract extension.
- Why this job: Make a real impact by translating complex data into actionable insights in a dynamic environment.
- Qualifications: 5+ years in Data Science with expertise in SQL, Python, and MTA modelling required.
- Other info: Opportunity to work with stakeholders across various levels and sectors.
The predicted salary is between 56000 - 84000 £ per year.
About the job
Our client is a leading global company specializing in premium lifestyle products across various categories, including apparel, accessories, and home. They are currently seeking an experienced Data Scientist with specific marketing modelling to join their team.
Responsibilities:
- Leverage econometric and MTA methodologies to assess marketing effectiveness and provide strategic recommendations.
- Oversee data collection, including extraction, manipulation, analysis, and validation, ensuring proper use of KPIs in modelling.
- Build MTA models to analyse operations and drive actionable insights.
- Utilise Excel, SQL, and Python to process, transform, and create models, while presenting findings to stakeholders at all levels.
Requirements:
- 5+ years of experience in Data Science, with expertise in Snowflake, SQL, Python, and R.
- Demonstrable MTA/MMM modelling experience.
- Strong understanding of customer journeys from a quantitative perspective and experience in Data Science.
- Proven ability to translate complex analytics into actionable insights, with experience in retail or luxury retail preferred.
- Advanced degree in a quantitative field, with the ability to manage multiple stakeholders in a fast-paced environment.
Details:
- Duration: 12 months, with opportunity to extend.
- Salary: £70,000-£80,000.
- Start Date: ASAP.
- Hybrid working.
Senior Data Scientist - MTA/Marketing Mix Modelling employer: Freshminds Interim
Contact Detail:
Freshminds Interim Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - MTA/Marketing Mix Modelling
✨Tip Number 1
Familiarise yourself with the latest trends in Multi Touch Attribution (MTA) and Marketing Mix Modelling (MMM). Being able to discuss recent developments or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the data science and marketing analytics space. Attend industry events or webinars where you can meet potential colleagues or mentors who might provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your technical skills in SQL, Python, and R through practical examples. Consider creating a portfolio of projects that highlight your experience with MTA and MMM, as this can set you apart from other candidates.
✨Tip Number 4
Research the company’s products and their marketing strategies. Understanding their brand and how they position themselves in the market will help you tailor your discussions and show that you’re genuinely interested in contributing to their success.
We think you need these skills to ace Senior Data Scientist - MTA/Marketing Mix Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, particularly with MTA and MMM modelling. Include specific projects where you've used Snowflake, SQL, Python, and R, as well as any relevant achievements in the retail or luxury retail sectors.
Craft a Compelling Cover Letter: In your cover letter, emphasise your understanding of customer journeys and how your analytical skills have led to actionable insights in previous roles. Mention your ability to manage multiple stakeholders and work in fast-paced environments, as these are key for this position.
Showcase Relevant Projects: If you have worked on specific projects related to marketing effectiveness or data modelling, summarise these in your application. Highlight the methodologies you used and the impact your work had on decision-making processes.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and concise, as this reflects your attention to detail and professionalism.
How to prepare for a job interview at Freshminds Interim
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and R during the interview. Be prepared to discuss specific projects where you utilised these tools, especially in relation to MTA and MMM modelling.
✨Demonstrate Your Understanding of Customer Journeys
Since the role requires a strong understanding of customer journeys from a quantitative perspective, be ready to explain how you've applied this knowledge in previous roles. Use examples that illustrate your ability to analyse data and derive actionable insights.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about how you would approach assessing marketing effectiveness or building MTA models, and be ready to articulate your thought process clearly.
✨Communicate Effectively with Stakeholders
As the role involves presenting findings to stakeholders at all levels, practice explaining complex analytics in simple terms. Prepare to discuss how you've successfully communicated insights in the past, ensuring you can convey your ideas clearly and confidently.
