Data Scientist leading the NLP Squad at Telefónica Tech. Driving AI solutions and data analysis while ensuring best practices in a collaborative team environment.
About the role
- Data Scientist Intern supporting analytics and predictive modeling for member growth and market strategy. Collaborating with data scientists and analysts to enhance location intelligence and insights.
Responsibilities
- Support advanced analytics and predictive modeling that informs member growth, market potential, and branch network strategy.
- Apply statistical, machine learning, and spatial analytics techniques to large enterprise datasets to identify patterns, forecast demand, and generate actionable insights for strategic planning.
- Work closely with principal data scientists and geospatial analysts to develop models and analytical frameworks that enhance location intelligence, behavioral analytics, member insights, and market opportunity assessment.
- Develop and evaluate predictive models to estimate member growth, market potential, and branch demand.
- Apply statistical and machine learning techniques to identify drivers of member acquisition and engagement, member and market behavior, and value of a market.
- Support model validation, performance assessment, and documentation.
- Analyze member demographic, behavioral, and geographic data to generate market insights.
- Contribute to market sizing, segmentation, and opportunity analyses.
- Support development of demand and growth forecasting methodologies.
Requirements
- Currently pursuing a graduate degree (MS or PhD) in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related quantitative field
- Strong foundation in statistics, probability, and predictive modeling
- Proficiency in Python or R for data analysis and modeling
- Experience working with large datasets using SQL or similar tools
- Demonstrated ability to structure and analyze complex, real-world data problems
- Strong analytical reasoning and problem-solving skills
- Ability to communicate technical concepts clearly
- Curiosity, initiative, and ability to learn quickly in an applied business environment
- **Desired:**
- Experience with machine learning or predictive modeling projects
- Experience with spatial, geographic, or demographic data
- Familiarity with ETL processes and data preparation workflows
- Experience with Alteryx and/or ArcGIS
- Experience with feature engineering and model evaluation techniques
- Experience with Databricks, Spark, or cloud data environments
- Interest in applied analytics for market strategy, location intelligence, or growth analytics
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
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