We are on the lookout for a Junior to Mid-level Data Scientist - Machine Learning Engineer who will play a key role in enhancing our Machine Learning capabilities, focusing on innovative solutions for insight generation and analytics. As a burgeoning hedge fund startup with a clear vision and commitment to the Asian market. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our AI strategy.
Data Analysis & Modeling:
○ Develop, implement, and maintain predictive models using traditional machine learning and deep learning techniques.
○ Conduct thorough data analysis to extract actionable insights and perform time series analysis.
ETL & Data Management:
○ Design and develop efficient ETL pipelines to process and manage large volumes of financial data.
○ Ensure data integrity and accuracy across various data sources.
Cloud Computing:
○ Utilize Cloud services to deploy and manage machine learning models in a scalable and reliable manner.
○ Optimize Cloud resources for performance and cost-effectiveness.
End-to-End Solution Development:
○ Engage in the complete lifecycle of model development, from data collection and preprocessing to model deployment and monitoring.
○ Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
Innovation & Creativity:
○ Explore and implement innovative techniques to solve complex financial problems.
○ Stay current with the latest advancements in machine learning and data science to continually improve and innovate.
Result-Oriented Approach:
○ Focus on delivering high-impact results.
○ Communicate findings and recommendations effectively to stakeholders.
Qualifications:
● Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
● 3-5 years of hands-on experience in data science and machine learning.
● Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
● Experience with AWS/GCP/Azure services (e.g., S3, EC2, Lambda, SageMaker, Vertex AI, BigQuery).
● Strong understanding of ETL processes and tools.
● Demonstrated expertise in traditional machine learning algorithms and deep learning techniques.
● Solid experience with time series processing and analysis.
● Excellent problem-solving skills and a creative mindset.
● Strong communication and collaboration skills.
