Data Scientist

1 week ago


Singapore Bluesg Pte. Ltd. Full time
Roles and Responsibilities

. Design, develop and maintain models (machine learning / simulation) and optimization methods to support business and operational processes.

. Develop the pipelines to train, validate and deploy these models across various environments.

. Design product experiments and interpret the results yielding impactful conclusions.

. Perform statistical data analysis & visualization to find answers and new insights to important business questions.

. Participate in technical discussions across the team through code reviews, RFC or architecture review sessions.

Requirements

. At least 2 years of experience working as a Data Scientist or an advanced (Masters, PhD) degree in a related field (computer science, statistics / mathematics, operations research, economics, etc).

. Strong knowledge of data science fundamentals and statistics, with experience in data analysis, modelling (machine learning / simulation)and optimization methods such as linear programming.

. Good understanding of experimental design and methodologies such as A/B testing or multi-arm bandits.

. Experience with modern software development practices: version control, refactoring, unit tests.

. Proficient in Python or R, SQL (PostgreSQL preferred).

. Experience applying data science in end-to-end production use cases: from data cleaning, feature engineering through to model training and inference.

Preferred qualifications

. Experience with geospatial analysis.

. Experience with real-time inference.

. Experience with time series forecasting, pricing strategies.

. Hands-on experience with ride-hailing/car-sharing use cases, consumer apps, or adtech/martech use cases.

. Familiar with AWS data analytics services.

. Experience with FastAPI (Python), Flask (Python), or similar.

. Experience with Spark.

. Experience deploying models to production.


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