Data Scientist, Modeler
Paragould, AR, United States
R
USD 56K-65K (estimate) Mid-level Full Time
Tasks
- Analyze conversion drivers across product pricing and customer behavior
- Apply LTV insights to acquisition retention and personalization
- Build Python and SQL based analytics pipelines for large scale data analysis
- Build customer lifetime value models
- Build revenue orders conversion rate and AOV forecasting models
- Create budgeting scenario models
- Develop demand forecasting and seasonality models
- Develop marketing performance and demand planning models
- Develop natural language to SQL querying prototypes
- Evaluate AI generated outputs for accuracy plausibility and business relevance
- Lead AI and LLM adoption for analytics and business workflows
- Perform cohort analysis retention modeling and customer segmentation
- Translate complex analyses into executive narratives for non technical stakeholders
- Validate statistical significance and methodology for A B tests
Perks/Benefits
- 401k match
- Dental insurance
- Health insurance
- Hybrid work schedule
- Life coaching
- Mental health resources
- Mentorship program
- Paid learning and development
Skills/Tech-stack
A/B | A/B Testing | API Integration | B testing | BigQuery | Cohort Analysis | Cohort analytics | Customer Lifetime Value | Customer Segmentation | Experimentation | GCP | LLM | Language Processing | Lifetime Value | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | Retention modeling | SQL | Series forecasting | Statistical Analysis | Time Series | Time Series Forecasting
Education
Master of Data Science | Master of Science | Master of Statistics
Roles
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