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Data Scientist London, England at GroupM

Data Scientist London, England

GroupM London, Greater London Full Time

Description

Position at Choreograph

WHO WE ARE

We create the data products & technology that make advertising work better for people.

Choreograph, an affiliate of GroupM, is a global data products and technology company, purpose-built for an era that demands a new approach to data management, usage, and brand growth.

Data is the fuel that powers growth. The companies who best leverage data are creating unbeatable advantages over their competitors while simultaneously connecting with customers more effectively.

Our goal is to help future-focused businesses use their data in ways that meet savvy customers expectations while building trust and understanding. 

We are over 700 strong in 17 markets around the world and we offer a modular product suite, empowering marketers to drive sustainable, data-enabled growth.

WHO WE ARE LOOKING FOR

Choreograph is looking for a Data Scientist with interest and experience in Machine Learning Engineering & Machine Learning Operations, as well as the productization and optimization of Machine Learning models. Closely partnering with the product management, engineering and architecture practices to help develop and improve the product offerings of Choreograph. You will be joining a large team of data scientists with experience and expertise in a wide range of methodologies, toolkits and applications to a variety of problems in the media landscape.

You will collaborate with other data scientists to help improve and enrich data and additional product offerings. This reaches from data engineering, setting and defining best practices and scaling Machine Learning POCs.

WHAT YOULL DO

  • Designing, developing and testing machine learning and deep learning pipelines and platforms
  • Running machine learning tests and experiments
  • Automating and scaling machine learning POCs to production-level quality
  • Supporting internal and external stakeholders on the machine learning systems and use of underlying data
  • Use systems and internal processes efficiently and integrate these in daily work
  • Clear communication of insights and findings to stakeholders
  • Work in collaborative teams with members with a wide range of skills and expertise
  • Work at the cutting edge of commercial market analytics and research
  • Ability to focus and develop skills based on interests
  • WHAT YOULL NEED

  • Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or a related field.
  • Experience analyzing large volumes of data (e.g. Spark) (3+ years)
  • Excellent analytical skills and strong statistical knowledge, as well as interest in applying them to complex problems
  • Programming proficiency in Python (3+ years)
  • Familiarity with machine learning frameworks (like Tensorflow) and platforms (Kubeflow, Sagemaker, CPD)
  • 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 and navigate between data science and software engineering
  • SUCCESS ATTRIBUTES

  • Detail-oriented
  • Curious problem solver
  • Analytical thinker
  • POTENTIAL CAREER PATH

  • Sr. Data Scientist
  • Choreograph offers a competitive benefits package, including medical, dental, vision, short & long-term disability, life insurance/AD&D and 401k matching. We offer paid vacation, unlimited wellness, company holidays, personal days and paid parental leave. Last, but not least, we provide a breadth of training opportunities to support your development.

    Choreograph is WPPs global data products and technology company fueling growth for the worlds most admired brands. Discover more about Choreograph at

    Choreograph is committed to building a team that represents a variety of backgrounds, perspectives and skill. Our work is enhanced through inclusivity. We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment.

     

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    Job ID: 0fc684e5fe6c