Senior Machine Learning Scientist
QlooFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $185K - $230K.
Yes, this is a remote-first role with no office requirement, but travel for company offsites is expected at a minimum 2 times a year.
Candidates need a BS degree in engineering, computer science, finance or mathematics, 6+ years in data mining, machine learning, statistical analysis, or predictive modeling, strong Python and SQL skills, experience with ML packages like scikit-learn, LightGBM, XGBoost, and building predictive models from scratch.
Tilt is a remote-first company that drives connectivity through regular company offsites, with data scientists working within a talented DS team and collaborating closely with engineering, operations, product, credit, and finance teams.
A strong candidate is a seasoned data scientist passionate about using data and models to drive business growth, who shines at solving complex problems, has experience owning credit risk models and building ML algorithms, and is comfortable with cross-functional collaboration and a variety of technical tools.
Provides personalized investment strategies and services
Arta Finance provides tailored investment solutions for a variety of clients, including individual investors and institutional entities. The company focuses on creating personalized investment strategies that align with the specific financial and tax needs of its clients. Revenue is generated primarily through management fees for overseeing investment portfolios and transaction fees for executing trades. Arta Finance promotes a client-centric approach, encouraging clients to evaluate investment opportunities based on their own objectives and risk tolerance. While the company offers expert advice, it does not guarantee the success of its strategies, emphasizing the risks involved in investing. Additionally, it advises clients to consult tax professionals to consider tax implications before making investment decisions.