Postúlate en Kit Empleo: kitempleo.cl/empleo/1dijg8

PagerDuty empowers teams of all kinds to do the critical work that moves business forward through the PagerDuty Operations Cloud.

Visit our careers site to explore life at PagerDuty, discover opportunities, and sign-up for job alerts

Job Overview:
Key Responsibilities:
- Data Collection, Cleaning, and Exploration
- Acquire, preprocess, and clean large datasets from various sources (e.g. production, Salesforce, billing)
- Ensure data quality and integrity for accurate analysis.
- Conduct exploratory data analysis to understand the underlying patterns and trends in the data.
- Identify outliers, missing data, and potential challenges in the dataset.
- Statistical Analysis, Machine Learning and Model Deployment
- Design, implement, and evaluate machine learning models for predictive and prescriptive insight for the field
- Deploy models into production and monitor for drift
- Data Visualization:
- Create clear and compelling visualizations to communicate complex findings to non-technical stakeholders.
- Use tools like Tableau for effective data presentation.
- Collaboration:




- Collaborate with cross-functional teams, including Customer Success, Sales, and Product deeply understand requirements and deliver maximum business impact.

Qualifications:
- Excellent understanding of statistical concepts and methodologies.
- Strong programming skills in languages such as Python or R
- Excellent data manipulation and querying skills (e.g. SQL)
- Familiarity with cloud computing platforms (e.g. Snowflake, AWS)
- Familiarity with data visualization tools (e.g. Tableau, Looker)
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Master's or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or equivalent experience

Availability to work in hybrid system

Location: Santiago de Chile.

Not sure if you qualify?

Where we work

PagerDuty currently has offices in Atlanta, Lisbon, London

Postúlate en Kit Empleo: kitempleo.cl/empleo/1dijg8

📌 Data Scientist Ii (Santiago)
🏢 PagerDuty
📍 Santiago