Data Science Analyst

Brief DescriptionWe 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 for fraud detection. Your quantitative expertise will be instrumental in demonstrating the value of Kevari's data 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 scientist 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 Preferred SkillsRequired Qualifications

 Education: Bachelor's or advanced degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field  Experience: 2-3 years in data science, analytics, or related analytical role

 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

Send your resume to careers@polussolutions.com Please include “Data Science Analyst - [Your Name]” in the subject line.