Principal Data Scientist, Cint

• 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
• 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., 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
• 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

Desirable

• 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, large language models and advanced data analysis techniques.
• Ultimately, 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 and will be comfortable working cross-functionally with product, engineers, and business stakeholders
• Develop and deploy statistical models, machine learning algorithms, and custom analytics solutions to measure the effectiveness of media campaigns
• Collaborates 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 recommendation to non-technical audiences through compelling data visualizations, detailed reports and presentations