
Executive Analytics Professional
7 days ago
- We require an individual with strong programming skills in Python, as well as experience working with data pipelines, ETL workflows and data wrangling techniques.
- The ideal candidate should have proficiency with SQL and relational databases, as well as familiarity with machine learning frameworks and data libraries.
- A strong understanding of fundamental concepts in machine learning and data science is also required.
We offer opportunities to work at the intersection of software development, machine learning and financial data. If you are passionate about developing efficient data ingestion, transformation and validation pipelines, this could be the perfect opportunity for you.
- Design and build robust software systems to support data pipelines, analytics and AI applications.
- Collaborate with domain experts to scope, build and iterate on AI-driven tools tailored to business needs.
- Develop clean user interfaces and data visualizations with libraries like Plotly and Dash.
A strong user-focused mindset, excellent communication skills and a team-oriented attitude are essential qualities for success in this role.
Key Requirements:- Strong programming skills in Python.
- Proficiency with SQL and relational databases.
- Experience working with data pipelines, ETL workflows and data wrangling techniques.
- Familiarity with machine learning frameworks and data libraries.
- Understanding of fundamental machine learning and data science concepts.
- Strong written and verbal communication skills.
- User-focused mindset.
- Team-oriented.
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