Intern – Data Science – Digital Business
| Company | Xylem |
|---|---|
| Location | Pittsburgh, PA, USA |
| Salary | $25.432692307692 – $40.673076923077 |
| Type | Internship |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Internship |
Requirements
- Student working toward Masters/Bachelor of Science degree with Major in Data Science, Statistics, Mathematics, Computer Science, or related analytical discipline.
- 2+ years with the ability to write and mentor code development in Python and/or SQL
- 2+ years with Extract, Transform & Load (ETL) methodologies
- 1+ years with Azure and/or Amazon Web Services
- 1+ years with data visualization tools such as Power BI, Tableau, Qlik or equivalent
- Ability to think outside the box to uncover business value
- Ability to think and execute at multiple levels from strategy and vision to execution
- Interpersonal skills with demonstrated ability to influence outcomes and communicate technical content to general audiences (telling a “story” with data)
- Experience with building machine learning models
- Demonstrate knowledge of concepts and procedures within data analytics & science
- Strong prioritization, quantitative and analytical skills
Responsibilities
- Deep dive analysis into Xylem’s vast data to uncover business opportunity or solve existing problems.
- Build key data sets / pipelines to empower operational and exploratory analysis.
- Write scripts to integrate data, conduct exploratory data analysis, apply machine learning to train predictive models where appropriate.
- Utilize detailed analysis, personal interviews, and mining of digital product data to propose root cause and corrective actions to the business and develop visual tools (Power BI etc.) which are capable of ‘telling the whole story’.
- Build and train agents for LLM deployments.
- Evaluate and define product and business metrics.
- Democratize data by building and socializing decision tools (dashboards, reports)
Preferred Qualifications
- Education or experience developing LLM agents is a plus
- Experience with IoT (sensors/connected technologies) is a plus
- Experience with building data pipelines is a plus
- Knowledge of data mining, machine learning, data visualizations and statistical modeling
- Experience with Data Analytics Tools, Data Lake / Data Warehouse tools or Dashboard creation tools such as Power BI, SAP Business Intelligence etc.