Data Science Analyst

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Role Overview

We are seeking a talented Data Science Analyst to join our dynamic team.

In this role, you will work closely with our senior data scientist to support the development and validation of machine learning solutions focused on fraud detection. Your quantitative expertise will be instrumental in demonstrating the value of our data-driven solutions through rigorous analysis, testing, and research.

As a key contributor to our fast-growing team, you will conduct ad hoc analyses, integrate and evaluate third-party data sources, and perform statistical studies that directly influence product strategy and client outcomes.

Key Responsibilities

Analysis & Research

• Conduct ad hoc exploratory data analysis to identify fraud patterns and trends, with focus on new account fraud and account takeovers.
• Integrate and evaluate third-party data sources to test and enhance the efficacy of existing fraud detection solutions.
• Perform retrospective analyses and back-testing to demonstrate solution value to prospective clients.
• Execute statistical studies to support product development and optimization decisions.

Model Support & Validation

• Collaborate with senior data scientists to support predictive model development and implementation.
• Conduct quality assurance testing of machine learning algorithms and key data attributes.
• Validate model performance and stability across different data scenarios.
• Stay current on emerging data science techniques, particularly in AI/ML for fraud detection.

Communication & Reporting

• Define and deliver analytical reports that translate complex findings into actionable business insights.
• Present results to both technical and non-technical stakeholders.
• Support client demonstrations and proof-of-concept initiatives.
• Document analytical methodologies and findings.

Required Qualifications

Education

• Bachelor's or advanced degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.

Experience

• 3 – 5 years in data science, analytics, or a related analytical role.
• Immediate joining preferred (within 2 weeks).
• Must hold a valid passport.
• Valid B1 visa is an added advantage.

Technical Skills

• Proficiency in Python.
• Experience with Jupyter Notebook and statistical analysis.
• Strong SQL skills for data extraction and manipulation.
• Proficiency in Microsoft Excel and PowerPoint.

Analytical Skills

• Solid understanding of statistical modeling and machine learning concepts.
• Experience with data exploration and pattern recognition.
• Strong problem-solving and critical thinking abilities.

Communication

• Ability to explain complex analytical concepts to non-technical audiences.

Personal Attributes

• Self-directed with strong project management skills.
• Collaborative team player with eagerness to learn.
• Detail-oriented with commitment to data quality and accuracy.