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- Tasks: Join a dynamic team as a Data Scientist, driving marketing effectiveness through data analysis and modelling.
- Company: Work with a top global company known for innovation and excellence in the marketing sector.
- Benefits: Enjoy remote work flexibility with just one day onsite per month and competitive pay.
- Why this job: This role offers hands-on experience with cutting-edge data science techniques and impactful projects.
- Qualifications: You need experience in Marketing Mix Models, Python, SQL, and a strong grasp of statistical methods.
- Other info: This is a 6-month contract role requiring an EU work permit and set up via an Umbrella Company.
The predicted salary is between 43200 - 72000 £ per year.
Data Scientist with PyMc & Marketing Mixed Modelling experience
6 Months Contract
Inside IR35
Remote/1 day onsite a month
My client, a top global company, is currently looking to recruit a Data Scientist with PyMc & MMM experience to join their team on a 6-month contract basis. Please note, if successful, this position will need to be set up via an Umbrella Company/PAYE.
This senior Data Scientist will work with the Data Science team to drive marketing effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models.
Responsibilities:
- Oversee and be responsible for data collection, including extraction, manipulation, analysis, and validation.
- Analyze datasets to ensure KPI understanding and data readiness for modeling.
- Proficiency in Excel, SQL, Python, Pandas for data processing, transformation, variable creation, and modeling.
- Build base models per project specifications, including KPI drivers, variable rationale, and coefficient analysis.
- Improve and finalize models, oversee or build enhancements.
- Create sales effect/ROI workbooks, response curves, and optimization charts.
- Conduct scenario analysis for budget allocation and forward-looking optimization.
- Validate models, identify weaknesses, suggest improvements, and ensure robustness.
Requirements:
- Proven experience in developing and implementing Marketing Mix Models.
- Expertise in PyMc, Python, and familiarity with R programming for MMM models.
- Deep understanding of statistical modeling and ML techniques.
- Experience with regression-based models in MMM contexts.
- Solid experience with probabilistic programming and Bayesian methods.
- Expertise in mining large, complex datasets using SQL and Spark.
- Understanding of statistical modeling techniques and their mathematical foundations.
- Working knowledge of PyMC, cloud-based data science frameworks, and Azure is preferred.
- Broad knowledge in areas such as Optimization, Applied Mathematics, or Simulation.
Marketing Mixed Modelling Data Scientist employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Mixed Modelling Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in Marketing Mix Modelling (MMM) and data science. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of data science and marketing. Attend relevant webinars or local meetups to connect with others who may have insights or even referrals for the position you're interested in.
✨Tip Number 3
Brush up on your technical skills, especially in Python, PyMc, and SQL. Consider working on personal projects or contributing to open-source projects that showcase your ability to handle complex datasets and statistical modelling.
✨Tip Number 4
Prepare to discuss specific examples of your past work with MMM and data analysis. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your expertise and problem-solving skills.
We think you need these skills to ace Marketing Mixed Modelling Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Marketing Mix Modelling, PyMc, and relevant programming languages like Python and SQL. Use specific examples to demonstrate your skills in data collection, analysis, and model validation.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the role and how your background aligns with the responsibilities outlined in the job description. Mention your experience with statistical modelling and any successful projects you've completed.
Showcase Relevant Projects: If you have worked on projects involving Marketing Mix Models or similar data science tasks, summarise these in your application. Highlight the tools you used, the challenges you faced, and the outcomes of your work.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Scientist role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in PyMc, Python, and SQL during the interview. Be prepared to discuss specific projects where you've successfully implemented Marketing Mix Models and how you approached data manipulation and analysis.
✨Understand the Business Context
Demonstrate your understanding of how marketing effectiveness is measured and the role of data science in driving business decisions. Be ready to discuss how your work can impact ROI and budget allocation.
✨Prepare for Scenario-Based Questions
Expect questions that require you to think critically about real-world scenarios. Practice explaining how you would approach a given dataset or model, including any potential weaknesses and how you would address them.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current data practices and challenges they face in marketing effectiveness. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
