Role Overview
Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / entrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business.
Role Responsibilities
Build python apps to query, analyze and combine financial datasets using a variety of computational techniques
Build dashboards to monitor and visualize application data
Support and further development of existing applications
Build quality control tools to ensure data quality across products
Experience / Competences
Essential
Master's or PhD in data science / mathematics / engineering or a related field.
Demonstrate experience in a Python Developer role
Knowledge of SQL
Experience working with large, complex data sets
Demonstratable problem solving skills
Experience with airflow, snowflake, docker, CI / CD
Desired
Practical hands-on industry experiences working in a numerical / computational role
Works well with data engineering, product and sales teams in cross team collaborations
Experience with AWS / Azure / GCP cloud technologies
Experience with GenAI / machine learning
Special Requirements
Working to a US / UK time zone
Working to hybrid work set up - 3x / week onsite
Work during holidays and occasional overtime
Role Band & Level : Professional / 5
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Data Scientist • Manila