Principal Data Scientist - Data Measurement

4 days ago

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Cint

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Software services • Insight technology • Panel monetization • insights exchange platform • Research sample

1001 - 5000

💰 $13M Series B on 2010-09

Description

• Lead advanced analytics and data science initiatives at Cint. • Create and deploy statistical models and machine learning algorithms for media effectiveness. • Collaborate with teams to automate measurement methodologies across platforms. • Develop resources and thought leadership on methodologies. • Manage projects independently from concept to delivery. • Translate business needs into data science solutions. • Mentor junior data scientists in coding and analytical techniques. • Stay abreast of industry trends and communicate insights effectively.

Requirements

• 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. • Experience in online survey methodologies. • 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.