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

Benefits

generous PTO
healthcare plans
wellness benefits
flexible workplace policy
Career Development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata miningstatistical analysistime series analysismachine learningdata visualizationpredictive modelingtext analyticsdata processing pipelines

Soft Skills

technical communicationtime managementcollaborationself-sufficiency