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About the role
- Contribute to discovery and development phases for new and existing products/models relating to media measurement
- Participate in model development, validation and maintenance
- Analyze large datasets to identify trends, patterns, and insights, ensuring quality and reliability of results.
- Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results.
- Collaborate with cross-functional teams to deliver on broader project goals.
- Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models.
- Support evaluation and validation of both internal and external products to ensure Cint’s success.
- Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.
Requirements
- Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
- 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics.
- Ability to manipulate, analyze, and interpret large data sources independently.
- Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, classification, stochastic modeling/simulation, and more).
- Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks.
- Practical experience applying statistical and modeling techniques.
- Strong analytical skills with a focus on data and model validation and accuracy.
- Comfortable with learning new methods, tools, and techniques.
- Able to complete assigned tasks independently while collaborating on overall project direction and broader project goals.
- Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models).
Benefits
- Flexible work arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisstatistical modelingmachine learningdata manipulationregression modelingclassificationclusteringexperimental designhypothesis testingPython
Soft Skills
analytical skillscollaborationcommunicationindependenceproblem-solvingadaptabilityattention to detailpresentation skillscritical thinkinginsight generation
Certifications
Master’s degree in StatisticsMaster’s degree in Data ScienceMaster’s degree in Quantitative SciencesMaster’s degree in Operations Research