Int Data Science Engineer with strong Python, data modelling, GCP, and Apache Airflow to build an AI analytics product.

Our client is a leader in the Venture Capital Space specifically focused on investing in FinTech Startup’s. They are looking for a Int Data Science Engineer with strong Python, data modelling, GCP, and Apache Airflow to build an AI analytics product.

Location: Remote

Project: Build an AI Product used to determine viable start up portfolio additions to our clients growing list of start up investments.

Must Haves:

• GCP technologies
• Build and maintain existing Apache Airflow DAGs
• Expert Python development skills – GCP big Query skills, grab data and store it. Used Tensor flow
• Building and maintain data APIs that power web applications and data dashboards

         
Responsibilities:

• Prototype new technology that supports our vision of making our consumer’s experiences better with our data
• Design, implement and maintain data pipelines for extraction, transformation, and loading of data from a wide variety of data sources using
• Provide support and insights to the business analytics and data science teams
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Work with Data Scientists and Machine Learning Engineers to build out robust and scalable pipelines and APIs
• Work on a data product that informs the investment teams of new start-up companies to invest in
• Gather overall market intelligence, including on: startups, funding, other venture funds, exits, trends by verticals (fintech, logistics, etc.), trends by countries, macro trends, etc.
• Design and implement work flows, procedures, and software to automate and improve data collection
• Streamline Human-CRM interactions via processes and automation
• Uses research, intuition, and experience to complement data