Senior Data Scientist
AngiFull Time
Senior (5 to 8 years)
Candidates must have over 4 years of experience as a Data Scientist, be expert in SQL and Python or R, and possess a robust understanding of statistical and machine learning methods. Experience with data transformation and orchestration tools, along with strong data storytelling skills, is also required.
The Data Scientist will own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product teams. They will translate complex data findings into simple, actionable insights for both technical and non-technical stakeholders, contribute to building and scaling data transformation and orchestration capabilities, and develop a self-serve analytics platform. Additionally, they will champion a data-driven culture by establishing best practices and design and set up experiments to test hypotheses and measure impact.
AI tools for investment decision-making
Boosted.ai enhances the investment decision-making process for institutional asset managers and wealth managers by providing AI-driven tools. Its platform features a virtual AI companion that offers insights into market events, accelerates stock research, and improves portfolio management. Users can customize the platform to fit their specific portfolios and investment strategies, as it analyzes existing holdings, risk profiles, and investing styles to make personalized recommendations. The technology processes vast amounts of information from news sources and financial reports to deliver relevant trends and insights. Boosted.ai operates on a subscription model, allowing clients to access its services to save time and improve investment decisions. The goal is to empower financial firms with machine learning software that enhances productivity and supports data-driven investment strategies.