Cint · 1 day ago

Staff Data Scientist - Media Measurement

New York, NY

Full-time

Remote

Senior Level, Lead/Staff

$167K/yr - $210K/yr

10+ years exp

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceStatistical ModelingMachine LearningPythonSQLAdvanced Statistical TechniquesBig Data TechnologiesData AnalysisOnline Survey MethodologiesMentoring

Required

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.