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Data Scientist
| Company | RAPP |
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| Location | Los Angeles, CA, USA |
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| Salary | $75000 – $90000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- Master’s degree in Computer Science, Data Science, Business Analytics, Statistics, Economics, or related discipline
- 1-2 year’s experience applying statistical analysis and/or analytics-based programming to model, forecast and/or answer tactical and strategic questions.
- Working knowledge of database marketing principles, and databases and structure
- Proficient in R or Python.
- Familiarity with AI/Neural Networks.
- Ideal candidate will have some experience with SparkML and/or other programming languages and API packages
- Strong written and verbal communication skills
Responsibilities
- Analyzes large and small internal and external datasets to extract actionable insights
- Develop statistical models to drive targeting, messaging and strategic decision-making, which may include and is not limited to: Marketing Mix (MMM) and Marketing Attribution (MTA) models, Profile-based, Behavioral, LTV and other customer segmentation models, Response, look-alike, loyalty, net lift and other sales models, Survival Analysis, In-market and other timing models, Leads, sales and other KPI forecasting models
- Support iteration and feature enhancement of existing models
- Create new or challenger models with methods, data, and/or tools that are currently not in production.
- Aid in code standardization, review, and versioning to increase efficiency and streamline process
- Collaborate with other disciplines to explain insights around statistical output that helps describe the targeting group, consumer, or model tier to non-technical audiences
Preferred Qualifications
No preferred qualifications provided.
