Data Scientist role focusing on predictive modeling and analytics for Ipsos NA projects. Collaborating with stakeholders to optimize business processes and improve data-driven insights.
Responsibilities
Support a diverse portfolio of projects across Ipsos NA including predictive modeling, text analytics, data mining, exploration, regression, and time series analyses.
Design, train, and utilize machine learning algorithms and data processing pipelines.
Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services.
Research and develop new solutions and deployable tools to facilitate market research.
Communicate with and provide consulting for internal teams and external clients on data models, analysis findings, process efficiency, and marketing science best practices.
Create data visualizations, reports, and sometimes dashboards.
Stay abreast of the latest data science techniques and tools available.
Requirements
Bachelor’s degree (or equivalent) in statistics, computer science, or related field
Proficiency in Python and SQL
Strong technical communication skills
Proficiency in data mining, statistical analysis, time series analysis, and machine learning
Proficiency with data science toolkits (e.g., NumPy, Pandas, SciKit Learn, SciPy, etc.)
Experience with data visualization tools (e.g., MatPlotLib, Plotly, Tableau, D3.js, etc.)
Good time management, collaboration, and self-sufficiency skills
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