Data Science Leader

hace 1 semana

Barcelona, Barcelona, España Cint A tiempo completo
Job Overview

Cint is seeking a highly skilled Principal Data Scientist to lead advanced analytics and data science initiatives for our Data Solutions and Media Measurement product lines. As a key member of our team, you will be responsible for developing and deploying statistical models, machine learning algorithms, and custom analytics solutions to measure the effectiveness of media campaigns.

Key Responsibilities:
  • Design, refine, and automate measurement methodologies for TV, digital, social, and other media platforms.
  • Collaborate with cross-functional teams to develop and deploy statistical models, machine learning algorithms, and custom analytics solutions.
  • Lead 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, and support business teams in explaining and defending our measurement methodologies to customers.
  • Independently plan, develop, and manage projects from concept to completion, 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.
  • At least 4 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, with 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.
Preferred Qualifications:
  • Experience in online survey methodologies.
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.
  • A genuine interest in exploring new data science methods, tools, and technologies to create and implement innovative solutions and approaches.

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