Senior Media Analytics Lead

hace 4 días

Barcelona, Barcelona, España Cint A tiempo completo

About Cint

Cint is a pioneer in research technology (ResTech) that empowers businesses to make informed decisions by harnessing the power of human opinions and behaviors.

As a Principal Data Scientist at Cint, you will be instrumental in driving advanced analytics and data science initiatives for Data Solutions and Media Measurement product lines. Your expertise will be pivotal in leveraging statistical modeling, machine learning, and large language models to drive business growth and deliver market-leading measurement solutions.

Job Overview:

As a Senior Media Analytics Lead, you will be responsible for developing and deploying innovative statistical models, machine learning algorithms, and custom analytics solutions to measure the effectiveness of media campaigns. You will collaborate with cross-functional teams to design, refine, and automate measurement methodologies for TV, digital, social, and other media platforms.

Key Responsibilities:

  • Develop and deploy cutting-edge statistical models and machine learning algorithms to drive business growth and deliver market-leading measurement solutions.
  • Collaborate with cross-functional teams to design, refine, and automate measurement methodologies for TV, digital, social, and other media platforms.
  • Lead research and discovery phases for both new and existing products, partnering closely with engineering teams to transition prototypes into robust, scalable solutions.
  • Develop customer-facing methodology resources and thought leadership, supporting business teams in explaining and defending our measurement methodologies 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.

Requirements:

  • 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.
  • + 4 years focused on media measurement, marketing analytics, or advertising. 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, 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.
  • Proven expertise in advanced Python prototyping, 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).
  • Strong understanding of infrastructure cost management, particularly in relation to processing large datasets efficiently.

Salary Range: $150,000 - $180,000 per annum, depending on experience.

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