Data Scientist

Description

Position at Choreograph

Data Scientist (Commerce Product)

WHO WE ARE

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 is over 1,000 strong, across 20 markets around the world.

WHO WE ARE LOOKING FOR

We are looking for a Data Scientist to join our Commerce Product team who has experience and expertise in a wide range of methodologies, toolkits and applications to a variety of problems in the media landscape, and especially within Retail Media.

As a Product Data Scientist, you will collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress, and translate complex technical concepts into actionable insights for both technical and non-technical audiences.

You will be a part of a vibrant group, collaborating with specialist and business teams, demonstrating your technical knowledge, growing your soft/interpersonal skills and to help develop and improve the product offerings of Choreograph.

WHAT YOU’LL DO

1. Rapidly prototype as part of a product team, and iterate on experimental projects using a hacker mentality to test hypotheses, validate assumptions, and drive innovation.
2. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes.
3. Understanding of business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives with organizational objectives.
4. Collaborate with data engineers, product teams, and stakeholders to develop and create data products that address specific business needs and requirements with minimal guidance.
5. Support and upskill more junior team members.
6. Gather, analyze, and visualize data to create compelling and informative narratives for stakeholders, using storytelling techniques to effectively communicate insights and recommendations.
7. Stay up to date with the latest advancements, trends, and research in AI, data science, machine learning, and related technologies.
8. Document experimental methodologies, findings, and insights to ensure transparency, reproducibility, and knowledge sharing within the team and across the organization.
9. Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets.
10. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights.
11. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance experimentation, analysis, and data storytelling capabilities.
12. Adhere to data governance and privacy policies to ensure compliance with relevant regulations and industry best practices.

WHO YOU ARE

• Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or a related field.
• Experience analysing large volumes of data.
• Good understanding of data fusion, enrichment and synthetic methodologies.
• Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems.
• Programming proficiency in Python.
• Extensive experience solving analytical problems using quantitative approaches.
• A passion for empirical research and for answering hard questions with data.
• A flexible analytic approach that allows for results at varying levels of precision.
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both Choreograph and our clients, we encourage you to apply and join our team.

Choreograph is the beating heart of data inside WPP’s media investment group, GroupM, the world’s leading media investment company responsible for more than $60 billion in annual media investment. Discover more about Choreograph at .

GroupM and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.

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