Data Science Leader

hace 4 semanas

Barcelona, Barcelona, España Cint A tiempo completo
Job Description

Cint is a pioneer in research technology, and we're seeking a talented Data Science Leader to join our team. As a key member of our Data Solutions and Media Measurement product lines, you will lead advanced analytics and data science initiatives to drive business growth and innovation.

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 to support 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.

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 testing, sampling theory, experimental design, regression modeling).
  • Strong programming skills in Python and proven expertise in advanced Python prototyping.
  • Proficiency 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).
  • Strong understanding of infrastructure cost management, particularly in relation to processing large datasets efficiently.

Personal Attributes:

  • Excellent communication skills and advanced presentation skills, with the ability to explain complex technical concepts to a large technical and non-technical audience.
  • Excellent interpersonal skills, able to work effectively with cross-functional teams and stakeholders.
  • Strong ability to analyze complex and large data sets and extract meaningful insights.
  • Genuine interest in exploring new data science methods, tools, and technologies to create and implement innovative solutions and approaches.

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