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- Tasks: Build automated data pipelines and develop robust Media Mix Models using SQL and Python.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
- Why this job: Make a real impact by extracting insights that drive strategic media decisions.
- Qualifications: 2+ years in media measurement, strong skills in SQL, Python, and statistical modelling.
- Other info: Dynamic role with excellent career advancement potential in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
The Data Science Associate Partner is responsible for querying internal and external databases to build automated pipelines for measurement projects and actively developing clean, clear and robust Media Mix Models. You will leverage your analytical skills to extract actionable insights from econometric models and communicate the results clearly to impact strategic media decisions.
Role Responsibilities
- Data Integration: Query internal and external databases using SQL and Python to build automated pipelines for measurement projects.
- Media Mix Model: Produce strong, reliable Media Mix Models anchored in a clear, documented process that ensures total transparency for our clients.
- Strategic Growth: Work closely with our Senior Data Partner and Measurement Partner to proactively identify opportunities for client change.
- Client Communication: Provide clear, concise insights during client-facing presentations.
- Innovation: Stay at the forefront of the industry by completing leading certifications and applying new methodologies to our MMM framework.
Your KPIs / Outputs
- Design and execute end-to-end Econometric projects.
- Extract and communicate actionable insights through experimentation and machine learning.
- Provide clean and clear data analysis to media channel leads and strategic partners.
- Assist with the ongoing development of the MMM proposition offered at Open Partners, including the development of a Unified Measurement Platform.
Role Details
- Reports to: Liam Middleton (Measurement Partner)
- Responsible for: Data Science, Machine Learning and Experimentation, Data cleaning and preparation for large data projects, result and insight collation and aggregation across the client base.
- Location: Manchester & Hybrid.
- Hours / Days: 37.5 hours, over 5 days per week.
- Contract basis: Permanent.
To be successful in this role:
- 2+ years of experience specifically within media measurement or marketing analytics.
- Technical Toolkit: Proficient in Python, R and SQL. Experience with BigQuery and the Google Cloud Platform ecosystem is highly desirable.
- Analytical Mindset: A strong understanding of statistical modeling and a passion for solving the "attribution puzzle."
- Communication: Ability to work effectively in a remote/hybrid environment, maintaining high levels of transparency and collaboration.
- Adaptability: A "Smarter, Faster" approach—comfortable challenging the status quo to find a better way of working.
Skills & Experience required:
- Must Have: Advanced SQL & Python/R, Understanding of the application of the scientific method to media measurement, High level of Microsoft Excel / Google sheets skills, Intermediate A.I./prompt engineering knowledge, Understanding of Frequentist and Bayesian approaches to Media Mix Modelling.
- Desirable: Experience with Google Cloud Platform (GCP) and BigQuery, Experience in marketing (offline and online) data, Advanced coding/version control skills (e.g. GitHub), Experience with open source MMM modelling algorithms (Meridian / Robyn).
Expectations for all Open Partners Employees:
- Follow our Employee Handbook
- Live by our values
- Smarter - Aim high, train hard, embrace next
- Faster - Learn fast, adapt fast, act fast
- Better - Think, say and do what’s best
Data Science Associate Partner in Manchester employer: Open Partners
Contact Detail:
Open Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Associate Partner in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience with SQL, Python, or media measurement to demonstrate your expertise.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email expressing your continued interest can set you apart from other candidates.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals like you, and applying through our site gives you a better chance of getting noticed!
We think you need these skills to ace Data Science Associate Partner in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Science Associate Partner. Highlight your experience with SQL, Python, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about media measurement and how your background aligns with our goals at StudySmarter. Keep it concise but impactful—show us what makes you unique!
Showcase Your Projects: If you've worked on any econometric projects or Media Mix Models, don’t hesitate to mention them! We love seeing real examples of your work. Include links or descriptions that demonstrate your problem-solving skills and innovative thinking.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows you're keen on joining the StudySmarter family!
How to prepare for a job interview at Open Partners
✨Master Your Technical Skills
Make sure you're comfortable with SQL, Python, and R before the interview. Brush up on your knowledge of BigQuery and the Google Cloud Platform as well. Being able to demonstrate your technical prowess will show that you’re ready to hit the ground running.
✨Showcase Your Analytical Mindset
Prepare to discuss your experience with statistical modelling and how you've tackled the 'attribution puzzle' in past projects. Bring examples of how you've extracted actionable insights from data, as this will highlight your analytical skills and problem-solving abilities.
✨Communicate Clearly and Concisely
Practice explaining complex concepts in simple terms. Since client communication is key in this role, being able to present your findings clearly will set you apart. Consider doing mock presentations to get comfortable with articulating your insights.
✨Embrace Adaptability and Innovation
Be prepared to discuss how you've challenged the status quo in your previous roles. Share examples of how you've applied new methodologies or completed certifications to stay ahead in the industry. This shows that you’re not just a follower but a proactive innovator.
