Data Scientist - Machine Learning Engineer

About this role

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.

Key Responsibilities

1. 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.
2. 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.
3. 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.
4. 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. 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.
5. Result-Oriented Approach: Focus on delivering high-impact results. Communicate findings and recommendations effectively to stakeholders.

Qualifications

1. Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
2. 3-5 years of hands-on experience in data science and machine learning.
3. Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
4. Experience with AWS/GCP/Azure services (e.g., S3, EC2, Lambda, SageMaker, Vertex AI, BigQuery).
5. Strong understanding of ETL processes and tools.
6. Demonstrated expertise in traditional machine learning algorithms and deep learning techniques.
7. Solid experience with time series processing and analysis.
8. Excellent problem-solving skills and a creative mindset.
9. Strong communication and collaboration skills.

Information :

• Company : Arrowpoint
• Position : Data Scientist - Machine Learning Engineer
• Location : Singapore
• Country : SG