Senior Data Science Leader at Cint

hace 2 semanas

Barcelona, Barcelona, España Cint A tiempo completo

Role Overview: As a Senior Data Science Leader at Cint, you will be responsible for leading advanced analytics and data science initiatives for Data Solutions and Media Measurement product lines. This role involves using statistical modeling, machine learning, large language models, and advanced data analysis techniques to develop and maintain research methods that align Cint capabilities with market claims and industry standards of measurement.

Key Responsibilities:

  • Develop and deploy statistical models, machine learning algorithms, and custom analytics solutions to measure the effectiveness of media campaigns.
  • Collaborate with cross-functional teams to design, refine, and automate measurement methodologies for TV, digital, social, and other media platforms.
  • Lead the research and discovery phases for both new and existing products and partner closely with engineering teams to transition prototypes into robust, scalable solutions.
  • Develop customer-facing methodology resources and thought leadership.
  • Support business teams in explaining and defending our measurement methodologies broadly to customers.
  • Independently plan, develop, and manage projects from concept to completion with no supervision, ensuring timely and high-quality delivery.
  • Partner with product teams and other stakeholders to translate business needs into actionable data science initiatives.
  • Serve as a technical leader and mentor to other data scientists in the team, promoting best practices in coding, experimentation, and analytical techniques.
  • Stay updated with the latest industry trends and emerging methodologies in media measurement and data science.
  • Communicate complex results, insights, and strategic recommendations to non-technical audiences through compelling data visualizations, detailed reports, and presentations.

Qualifications:

  • Advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or Computer Science with outstanding analytical expertise.
  • 10+ years of experience in data science, analytics, or related fields, with at least 4 years focused 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, e.g., multivariate (parametric/non-parametric) testing, sampling theory, weighting/projection, experimental design, regression/predictive modeling, causal inference techniques.
  • Strong programming skills in Python (as statistical and ML package tools).
  • Proven expertise in advanced Python prototyping.
  • Proficiency with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques (e.g., regression/predictive modeling, causal inference techniques).

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