Senior Data Scientist

1 day ago


Kuala Lumpur, Kuala Lumpur, Malaysia Boost Full time

Micro Lending is an emerging business arena where the focus is on giving micro loans to Small Medium Enterprise (SME) Business owners; it aims to bring financial inclusion on a mass level as well as contribute to the overall ecosystem of driving business and economies.

We seek a passionate Senior Data Scientist who will take a key role on our team. The ideal candidate must apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems. The candidate must possess knowledge in engineering best practices, discovering hidden information from vast amounts of data, and be current on recent advances in machine learning.

KEY RESULT AREAS
  • Conduct advanced data analysis and design complex algorithms.
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes.
  • Lead discovery processes with stakeholders to identify business requirements, design experiments, test hypotheses, and build models to solve business problems.
  • Develop highly scalable machine learning models, operationalize the ML models, and track model performance.
  • Deploy, monitor, manage, and govern machine learning models in production.
  • Handle machine learning operations and collaborate with data engineers, DevOps engineers, product managers, and technical partner teams.
  • Understand data sources, conduct data discovery, and apply complex techniques to produce features for automation using a hypothesis-driven approach.
  • Partner with functional leads across the company to prioritize areas of highest impact and be responsible for the delivery of these priorities.
  • Optimize machine learning products with professional software engineering skills.
  • Contribute to core advanced analytics and machine learning platforms and tools by researching, discovering new methodologies, and new data feeds to support credit decisioning and other key business processes.
  • Implement leading-edge academic research into pragmatic modeling solutions.
WORK EXPERIENCE
  • At least 5 years of experience in the application of artificial intelligence, data mining, machine learning, or pattern recognition techniques to very large and diverse datasets.
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Strong coding capabilities in Python, Scala, and their associated machine learning libraries.
  • Deep skills in machine learning/data science, experience with deep learning.
  • Experience building and deploying machine learning solutions on Amazon Web Services (e.g., S3, EC2, EMR, Spark).
  • Experience with Unix/Linux and AWS; Kubernetes is a big plus.
  • Preferably familiar with data visualization techniques using one or more packages such as Tableau or D3 visualization.
  • Expert use of SQL; experience with non-relational databases is a plus.
  • Experience with ML Flow, Flask is a plus.
  • Experience in Big Data technologies (Hadoop, Spark, Hive, Impala) is a plus.
  • Experience coaching junior machine learning engineers to improve their skills and make them more effective.
  • Experience in communicating with users, other technical teams, and senior management to collect requirements, describe machine learning product features, technical designs, and data product strategy.
  • Experience in any of the following areas is a plus: credit risk management, financial analysis, marketing analytics, fraud detection, consumer analytics, computer vision.
EDUCATION BACKGROUND
  • Masters or PhD in the field of Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a quantitative discipline.
  • Expertise in applied data science methods and machine learning algorithms.
  • Expertise in data structures and algorithms.
Seniority Level
  • Mid-Senior level
Employment Type
  • Full-time
Job Function
  • Information Technology and Engineering
Industries
  • Financial Services, Banking, and Insurance
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