Position Details

Salary $145K – $155K USD / year

Type Full-Time

Experience mid

Exp. Years 3-6 years

Education BS or MS in Computer Science, Data Science, or related field

Category Data & Analytics

About this role

A data scientist role focused on developing algorithms and models to improve fraud detection accuracy in a high-load, real-time environment.

Key Responsibilities

Develop algorithms for insights
Design supervised models
Collaborate with engineers
Conduct exploratory data analysis
Implement real-time ML solutions

Technical Overview

Involves working with supervised learning models, data analysis, visualization tools, and data storage systems like ClickHouse, Snowflake, and BigQuery, primarily using Python and SQL.

Ideal Candidate

The ideal candidate is a data scientist with 3+ years of experience in applying supervised learning techniques and data analysis in high-load, real-time environments. They are proficient in Python and SQL and capable of working across the full ML project lifecycle.

Must-Have Skills

BS or MS in Computer ScienceData Scienceor related field3-6 years of experience in Data Science or Machine LearningProficiency in Python and SQLExperience with supervised learning methodsExperience with exploratory data analysisAbility to work in high-loadreal-time environments

Nice-to-Have Skills

Familiarity with semi-supervised or unsupervised learningExperience with visualization tools (TableauLookerApache Superset)Knowledge of analytical storage systems (ClickHouseSnowflakeBigQuery)Experience with data transformations and dbtExperience with real-time inference and training automation

Tools & Platforms

PythonSQLTableauLookerApache SupersetClickHouseSnowflakeBigQuerydbt

Required Skills

PythonSQLMachine LearningSupervised LearningGradient BoostingLogistic RegressionData AnalysisData EngineeringModel TrainingVisualization Tools

Hard Skills

PythonSQLMachine LearningMLSupervised LearningGradient BoostingLogistic RegressionExploratory Data AnalysisData AnalysisData ScienceData EngineeringModel TrainingModel InferenceVisualization ToolsClickHouseSnowflakeBigQuerydbt

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingteamworkremote work proficiency

Industry & Role

Industry SaaS / Technology / Fraud Detection

Job Function Applying data science and machine learning techniques to enhance fraud detection systems

Keywords for Your Resume

Deal Breakers

Less than 3 years of experience in Data Science or ML, Lack of proficiency in Python and SQL, No experience with supervised learning methods, No experience with real-time inference environments

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