Job Description
What You’ll Do:
- Explore, analyze, and visualize large datasets from mobile + web observability data and user session data
- Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data
- Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features
Basic Qualifications:
- Currently enrolled in a Master’s program in Data Science, Computer Science, or a related quantitative field
- Proficient in Python and familiar with key data science frameworks
- Strong analytical and problem-solving skills with attention to detail
Preferred Qualifications:
- Experience working with time-series or event-based data
- Experience with data visualization tools (e.g., Plotly, Dash, Streamlit, or similar)
- Familiarity with cloud data ecosystems (e.g., ClickHouse, Snowflake, BigQuery, AWS, or GCP)
About Embrace
Embrace is the only user-focused observability solution built on OpenTelemetry, delivering insights across DevOps, web, and mobile teams. Customers like The New York Times and Home Depot use Embrace's platform to make complicated data actionable, reflecting the company's values of continuous improvement.