Data Scientist, Analytics

Binance

. Own a real-world project stream end-to-end, such as syndicate detection, user behavior sequencing, market manipulation detection, or feature discovery .

Posted 9/24/2026internshipRemote • Singapore, Australia, Thailand, TaiwanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning model development and evaluation, with proficiency in Python and SQL for data processing and analysis. Capable of translating technical findings into business metrics while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Machine Learning ConceptsPython ProficiencySQL DevelopmentData Analysis with PySparkDatabase Management Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSQLPythonData ProcessingFeature EngineeringModel EvaluationData AnalysisData Anomaly InvestigationLarge-Scale DatasetsStatistical Analysis

Soft Skills

ProactiveDetail-OrientedEffective CommunicationCollaboration

Tools & Technologies

PySparkHiveTrinoMySQLPostgreSQLSQL ServerMongoDBAI Coding Agents

Industry Keywords

Risk DetectionUser Behavior SequencingMarket Manipulation DetectionFeature DiscoveryData Metrics

Tech Stack

Tools & technologies

ApacheMongoDBMySQLPostgresPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Own a real-world project stream end-to-end, such as syndicate detection, user behavior sequencing, market manipulation detection, or feature discovery
Process and analyze billions of records using PySpark, Hive, and Trino
Develop robust SQL pipelines for feature engineering and validation
Build, evaluate, and iterate on machine learning models
Translate model performance into business metrics such as detection rate, false-positive rate, and latency
Work with the Risk AI DS team on risk-detection models using large-scale user behavior, fund-flow, and market data

Requirements

What you’ll need

Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
Current university students and recent graduates may apply
Strong foundation in machine learning concepts
Proficiency in Python and SQL
Familiarity with database management systems such as MySQL, PostgreSQL, SQL Server, or MongoDB
Comfortable working with large-scale datasets
Experience with Apache Spark is a plus
Proficient in leveraging AI coding agents, such as Claude Code or Cursor
Proactive and detail-oriented, with a strong instinct for investigating data anomalies and identifying root causes
Clear and effective English communication skills, with the ability to articulate technical findings and collaborate effectively

Benefits

Comp & perks

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Opportunities for career growth and continuous learning
Networking and development opportunities
Flat organizational structure
Autonomy in an innovative environment