Role Overview
The Data Scientist will contribute to the development of solutions for digital marketing use cases through statistical methods, data mining, and data engineering, working closely with the Analytics, Media Account Management, and Technical Solutions Engineering teams.
What You Will Do
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Deploy cloud resources to perform analysis on large data sets. Create ML pipelines models from data-wrangling to getting it into production.
Why It Might Be a Fit
The ideal candidate will have solid experience in the implementation of propensity models, segmentation analysis, churn modeling, recommendation systems, and descriptive analytics.
Requirements
- MSc or higher in a quantitative STEM subject such as Computer Science, Mathematics, and Physics
- Proven experience articulating, translating, and solving business problems through data
- Hands-on experience in model deployment, governance, and workflow optimization (MLOps)
- 3+ years of experience in data science (statistical modeling, machine learning for forecasting, classification, and optimization)
- Predictive modeling
- Experience analyzing large data sets with the Python or R data ecosystem
- Experience using large databases (SQL, Snowflake, BigQuery or similar)
- Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Paid time off
- Retirement plan
- Learning budget
- Parental leave
- Wellness program
- Visa sponsorship
- Relocation assistance
To apply for this job please visit monks.com.
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