Lead Data Science Innovator

3 weeks ago

London, Greater London, United Kingdom Cint Full time
Unlocking Media Measurement Excellence

We are seeking a highly skilled Lead Data Science Innovator to join our team at Cint. As a key member of our data science department, you will play a vital role in driving the development and implementation of advanced analytics and data science initiatives for our Data Solutions and Media Measurement product lines.

About Cint

Cint is a global leader in the market research industry, with a strong presence across multiple regions. Our company culture emphasizes innovation, collaboration, and excellence. We pride ourselves on being pioneers in our field and are committed to delivering high-quality solutions to our clients.

The Role

This role involves leveraging statistical modeling, machine learning, large language models, and advanced data analysis techniques to measure the effectiveness of media campaigns. You will work closely with cross-functional teams to design, refine, and automate measurement methodologies for TV, digital, social, and other media platforms.

Key Responsibilities
  • Develop and deploy statistical models, machine learning algorithms, and custom analytics solutions to measure campaign effectiveness.
  • Collaborate with product teams to design, refine, and automate measurement methodologies.
  • Lead the research and discovery phases for new and existing products, partnering with engineering teams to transition prototypes into scalable solutions.
  • Develop customer-facing methodology resources and thought leadership, supporting business teams in explaining and defending measurement methodologies to clients.
  • Plan, develop, and manage projects independently, ensuring timely and high-quality delivery.
Requirements

To be successful in this role, you will need:

  • A Ph.D. or Master's degree in a quantitative field such as data science, statistics, mathematics, economics, or computer science.
  • At least 10 years of experience in data science, analytics, or related fields, with a focus on media measurement, marketing analytics, or advertising.
  • Proven track record in leading large-scale data science projects, mentoring teams, driving strategy, and delivering business impact.
  • Extensive experience in advanced statistical techniques and concepts, including multivariate testing, sampling theory, weighting, projection, experimental design, regression, predictive modeling, and causal inference techniques.
  • Strong programming skills in Python, including proficiency with statistical and ML package tools.
  • Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques (e.g., clustering, regression, decision-trees).
  • Advanced SQL skills and familiarity with big data technologies (Spark, Hadoop, Databricks).
Salary and Benefits

We offer a competitive salary ranging from $120,000 to $180,000 per annum, depending on experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement plans, and paid time off.

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