Senior Data Science Lead

hace 4 semanas

Barcelona, Barcelona, España Cint A tiempo completo

Cint is a pioneer in research technology, empowering businesses to make informed decisions through data-driven insights.

The company's platform enables customers to gather valuable information from real people, helping them build strategies, publish research, and measure the impact of digital advertising.

As a Principal Data Scientist at Cint, you will lead advanced analytics and data science initiatives for Data Solutions and Media Measurement product lines.

This role involves using statistical modeling, machine learning, and large language models to drive business growth and innovation.

You will be accountable for developing and maintaining research methods that align Cint capabilities with market claims and industry standards of measurement.

The ideal candidate will possess strong technical and thought leadership skills, with the ability to work cross-functionally with product, engineering, and business stakeholders.

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, 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, 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, such as multivariate testing, sampling theory, experimental design, and 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.

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.
  • Genuine interest in exploring new data science methods, tools, and technologies to create and implement innovative solutions and approaches.

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