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Open Partners career site
Data · Manchester · Hybrid

Data Science Associate Partner

Role Purpose

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.

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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

Department
Data
Role
Data Science Associate Partner
Locations
Manchester
Remote status
Hybrid

About Open Partners

Open Partners was founded in 2017 to be The Agency of Next. Designed to be constantly focussed on the future, we think ahead for our clients, quickly pivoting them to new areas of opportunity as they arise. Delivering marketing transformations for over 50 clients, Open Partners’ integrated Media, Data and Creative capabilities drive more accountable and effective returns for international performance advertisers. We strive to always be smarter, faster, and better - all the while upholding the very highest standards of commercial and operational integrity.

Data · Manchester · Hybrid

Data Science Associate Partner

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