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WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com
About Choreograph: A Leading WPP Media Brand
Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.
We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.
Role Summary and Impact
Data Scientist
Reporting to the Lead Data Scientist, the Data Scientist plays a critical role part of a broader team in the deployment and development of predictive models for our customers. You will work collaboratively with senior google cloud and google marketing experts to apply modeling to enhance our customers media/marketing solutions. As Data Scientist you will be build out industry relevant predictive models that can be applied to optimize our customers media investments.
The role focusses on applying analytical solutions based on machine learning & statistical predictive algorithms on top of Google technology stack for our customers. We are looking for Data Scientists with relevant education in algorithmic data analysis and proven scientific research skills.
Skills and Experience
At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
This is an excellent opportunity for a Data Scientist to join the Data, Insights & Analytics Team. You will analyze media and social data created by marketing activity, identify trends and provide actionable insights to improve performance. You will tackle and take apart large and messy datasets of structured and unstructured data, build and implement models and algorithms, and design and run experiments to optimize media and customer experience. The idea candidate will have a love of getting their hands dirty to create a clean and perfected process
RESPONSIBILITIES:
- Creation, management and improvement of models which would be used to measure, optimize and activate media campaigns.
- Building out industry relevant predictive models.
- Documentation of analytics projects and ensuring that specific analytical processes can be replicated and scaled across clients if necessary.
- Building out content for presentations to demonstrate the performance and value of statistical and predictive model
- Delivery of robust mathematical analysis
- Produce campaign reports, studies, presentations and proposals to a high standard.
- Achieves continuous improvement by proactively assessing Choreograph’s working relationships, practices and methods
- Demonstrates measurable success
REQUIREMENTS:
- Hands-on experience with building out machine learning model with Python.
- Education and background in machine learning, computer science, physics, applied mathematics or statistics.
- Hands-on experience in developing complex query structures with SQL and/or NoSQL query languages.
- Hands-on experience working with GCP’s AI Capabilities including leveraging BigQuery ML, Vertex AI
- Hands-on experience with machine learning techniques using (TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, Pandas, NLTK, Spark MLib).
- Experience and understanding of deep learning techniques (TensorFlow, Theano, MXNet).
- Understanding of or experience in software engineering best practices, DevOps and MLOps.
- Solid grounding in applied mathematics, especially optimisation and graph theory, and statistics.
- Commercial or academic experience in developing ML & AI solutions using Python/R.
- In depth knowledge of machine learning algorithms.
- Advantageous to have experience in Google Marketing Platform and the use of Ads Data Hub.
- Capabilities in the areas of data engineering, data modelling and complex big data analysis.
- Strong business analysis skills and deep understanding of analytics.
- Strong communication and presentation skills.
- Passionate about working in an extremely fast-paced, demanding, and fluid start-up environment as well as a desire to build a company up from an early stage
Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Please note this is a UK based role and requires individuals to have the right to work in this location
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