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For Companies At a Glance
- Tasks: Join us to analyse marketing effectiveness and build impactful models using data science.
- 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 driving insights in a fast-paced, innovative environment.
- Qualifications: 5+ years in Data Science with expertise in SQL, Python, and MTA modelling required.
- Other info: Opportunity to work with top-tier stakeholders and enhance your analytical skills.
The predicted salary is between 42000 - 56000 £ 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
Contact Detail:
FRESHMINDS 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 SQL, Python, and R, and quantify your achievements to demonstrate your impact.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's needs. Mention your experience in retail or luxury retail and how you can leverage your skills to provide strategic recommendations.
Showcase Your Technical Skills: Be explicit about your proficiency in tools like Snowflake, SQL, and Python. Consider including a brief section in your CV or cover letter that outlines your technical skills and any relevant certifications or courses you've completed.
Prepare for Interviews: Anticipate questions related to econometric methodologies and your approach to data analysis. Be ready to discuss past projects in detail, especially those that involved stakeholder engagement and translating complex analytics into actionable insights.
How to prepare for a job interview at FRESHMINDS
✨Showcase Your Technical Skills
Make sure to highlight your expertise in SQL, Python, and R during the interview. Be prepared to discuss specific projects where you've used these tools, especially in relation to MTA and MMM modelling.
✨Demonstrate Your Understanding of Marketing Effectiveness
Be ready to explain how you leverage econometric methodologies to assess marketing effectiveness. Use examples from your past experience to illustrate how your insights have driven strategic recommendations.
✨Prepare for Stakeholder Engagement Scenarios
Since the role involves presenting findings to stakeholders, think of instances where you've successfully communicated complex analytics. Practice explaining your work in a way that is accessible to non-technical audiences.
✨Discuss Your Experience with Data Collection and Validation
Expect questions about your approach to data collection, manipulation, and validation. Share your methods for ensuring the accuracy of KPIs in modelling, as this is crucial for the role.
