Data Scientist, Parameta Solutions

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

• Working to a US/UK time zone

• Working to hybrid work set up - 3x/week onsite

• Work during holidays and occasional overtime

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

Role Band & Level:

• Professional /5

#PARAMETA #LI-ASO #LI-Hybrid