Senior Data Scientist

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

📋 Description

• Oversee the research, discovery, and comprehensive development of new and existing machine learning models related to media measurement.

• Extract, manipulate, and analyze extensive datasets to reveal insights that influence and guide the product roadmap.

• Plan, develop, and manage data science projects from inception to completion with minimal oversight.

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

• Work alongside cross-functional engineering and product teams on model design and implementation.

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

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

• Convert complex statistical results into engaging visualizations and presentations for both technical and non-technical audiences.

• Present findings and statistical recommendations through clear visualizations and presentations.

⛳️ Requirements

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

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

• Capability to independently manipulate, analyze, and interpret large data sets.

• Profound understanding of advanced statistical techniques and concepts, such as Properties of Distributions, Hypothesis Testing, Parametric and Non-Parametric Tests, Survey Design, Sampling Theory, Experimental Design, Regression or Predictive Modeling, and Stochastic Modeling or Simulation.

• Strong familiarity with machine learning techniques, including clustering, regression, and tree-based models, along with their real-world implications.

• Practical knowledge in the application of statistical and modeling techniques.

• Excellent analytical skills with an emphasis on data validation and precision.

• Ability to independently research and adopt new methods, tools, and techniques.

• Self-motivated individual capable of managing projects from start to finish with minimal supervision.

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

• Experience in media measurement and digital attribution is preferred.

• Familiarity with multivariate testing is preferred.

• Experience with predictive modeling is preferred.

• Background in modeling and quantifying outcomes by correlating attitudinal survey data with behavioral purchase data is preferred.

• Experience with online survey methodologies is preferred.

• Ability to write and optimize SQL queries is preferred.

• Experience with big data technologies such as Spark is preferred.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health benefits package.

• Opportunities for professional development and continued education.

• Flexible working hours and remote work options.

• Collaborative and innovative work environment.