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 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.

Skills

• Python
• Jupyter Notebooks
• Data Science
• Statistical Analysis
• SQL
• Microsoft Excel
• Microsoft Powerpoint
• Communication
• Problem Solving
• Analytical skills

Requirements

• Job Role Data Science Analyst
• Job Type Full Time
• Workplace Type Onsite
• Industry Software Development

Secondary locations

About

Not provided

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

Other Requirements

•  Education: Bachelor's or advanced degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field
•  Experience: 1-2 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

Good to have

Not provided

About the Company

Established in 2009, Polus is a global software solutions and product development company dedicated towards providing expert software development services and solutions for small, large and medium-sized companies. Polus thrives on process-driven software development and consulting models that meet the needs for a variety of consumers. We offer software and system product development, application development, mobile application development and more. Our methodology focuses on reliability, quick turnaround, and high-value product and we offer both on-site and off-shore options. We are a team of experienced employees that are experts in developing concise yet advanced software options for all types of customers. Creativity, flexibility, collaboration and personal initiative are core values at Polus, where our self-motivated workforce is always seeking opportunities to further their training and grow. Our people are our greatest strength. We have developed a team focused on inclusivity and collaboration, meaning that your role is fundamental to the team. Our employees are able to enjoy responsibility, even at an initial stage of profession. We focus on nurturing our employees' careers through each step of the way.