Senior Data Scientist

Posted 6 days ago

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design statistical methodologies and machine learning frameworks that drive Media Measurement products.

• Spearhead research, discovery, and comprehensive development for new and existing machine learning and statistical models related to media measurement.

• Extract, manipulate, and analyze extensive and intricate datasets to reveal insights that inform product strategy and roadmap.

• Plan, develop, and oversee data science projects from inception to completion with minimal supervision.

• Collaborate with engineering and product teams on technical design, deployment, implementation, and ongoing validation of scalable machine learning models.

• Create, validate, and sustain statistical and machine learning models.

• Perform continuous evaluation and validation of both internal and external product methodologies.

• Convert statistical results into visual formats and presentations for both technical and non-technical stakeholders.

• Clearly convey findings and statistical recommendations to a diverse range of business and technical audiences.


⛳️ Requirements

• Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative discipline.

• 5 years of experience in a data science role, ideally within market research or advertising analytics.

• Proficiency in manipulating, analyzing, and interpreting large data sources independently.

• Comprehensive understanding of advanced statistical techniques and concepts, including distribution properties, hypothesis testing, parametric and non-parametric tests, survey design, sampling theory, experimental design, regression or predictive modeling, and stochastic modeling or simulation.

• Strong expertise in machine learning techniques, including clustering, regression and their practical trade-offs, as well as tree-based models and their real-world applications.

• Familiarity with the application of statistical and modeling techniques.

• Exceptional analytical skills with a focus on data validation and accuracy.

• Capability to independently research and learn new methods, tools, and techniques.

• Self-motivated individual capable of executing projects from start to finish with minimal oversight.

• Proficiency in Python for statistical analysis and the implementation of machine learning models.

• Experience in media measurement and digital attribution (preferred).

• Familiarity with multivariate testing (preferred).

• Experience with predictive modeling (preferred).

• Background in modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data (preferred).

• Experience in online survey methodologies (preferred).

• Ability to write and optimize SQL queries (preferred).

• Experience working with big data technologies such as Spark (preferred).


🏝️ Benefits

• Comprehensive health benefits package.

• Opportunities for professional development and continuous learning.

• Flexible work schedule and remote working options.

• Collaborative and inclusive company culture.

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