Set up the initial data lake on Google Cloud in collaboration with the other team members, deploy it as planned, and fine-tune the data scraping, modeling, and data set management
Take charge of the collection, processing, and analysis of design data
Create models to solve business issues
Find useful data sources and automate the processes for gathering it
Preprocess data, both organized and unstructured
Regularly share the results with business teams and take action on the feedback received
Manage the database design and develop maintenance methods and put them into practice
Work with database software to find ways to store, organize, and manage data
Promote excellence and constant quality improvement
Use ensemble modeling to combine models
Collaborate with managers and high-level contributors
Utilize data visualization techniques to present information
Job Requirements:
Bachelor s/Master s/BSc/BA degree in Engineering, Data Science, Computer Science (or equivalent experience)
At least 5+ years of relevant experience as a Data Science Lead
Strong analytical skills and proficient understanding of programming languages like Python or R
In-depth knowledge of statistics, Machine Learning, and SQL
Extensive knowledge of the GCP platform, the Data Lake, and data analytics/processing pipelines
Prior experience working with both structured and unstructured data, managing that data, and using modern data transformation techniques
Some experience working for fintech companies serving the U.S. market is desirable
Nice to have knowledge of using company and industry data in AI models for investors in publicly traded equities markets
Excellent risk assessment abilities and the ability to comprehend the possible dangers associated with investing in a startup, as well as the potential rewards
Ability to think critically about the startup's business strategy, value proposition, and growth potential
Excellent ability to solve problems and presentation skills
Strong analytical mind and business acumen
Excellent English communication skills, both spoken and written