Data Scientist - Marketing Attribution

at  PTC Group

LOCATION: REMOTE BASED IN PORTUGAL WITH POTENTIAL ON-SITE PRESENCE FOR ONBOARDING IN LONDON/UK.

PTC Group is looking for a Data Science specialist to join our partner, a leader in the Telecommunications sector, to help them build cutting-edge applications.
The project is a cloud based ELT decision intelligence platform that specialises in taking data from various sources, transforming, cleaning, visualising, and serving it to customers to provide significant business value. The company brings expertise in data warehousing, cleaning, transformation, visualisation, data science, and focuses on building out of the box solutions, one of which is in the area of Marketing Attribution.

REQUIRED SKILLS / EXPERIENCE:

• Multiple years of experience in building data science models in the marketing attribution area (multi touch marketing attribution and media mix modelling)
• Candidates should be familiar with the different steps of the process (data preparation, data cleaning, model building, model tuning). There is stronger emphasis in this role on the data science modelling and tuning portion.
• Candidates should have worked on multiple client based projects in this area and not just have theoretical experience. In particular, they should have been responsible for producing a delivering an initial output and working with the client on iterations of that output based on their feedback.
• Combining standard approaches with custom optimisation models tailored to specific business models and KPI requirements. Familiar with standard models and best practice. Knows how to balance using a standard repeatable approach with the need to build something custom.
• Proficiency in programming languages SQL and Python
• Productionising of code to enable efficient modelling of big data
• Ability to work independently and collaborate effectively within a team

• Understand business requirements and objectives
• Build data science models (multi touch marketing attribution, media mix modelling) using a mix of standard and custom modelling techniques
• Be able to adapt existing MTMA and MMM models that the company already has.
• Continuously adjust data science models to deliver higher accuracy
• Produce documentation on your approach
• Deliver client facing output and iterate on it based on client feedback