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Data Science Analyst
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IceKredit
Westlake Village, CA (In Person)
$80,000 Salary, Full-Time
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Job Description
About Us IceKredit is a fast-growing fintech company empowering online lenders with cutting-edge data and software products. We help financial institutions mitigate fraud, optimize credit risk, and fully automate their lending operations. If you are a sharp, driven professional looking to make a massive impact in the fintech space, we want to hear from you. The Role We are seeking an intellectually curious, high-energy Data Science Analyst to join our team. In this role, you will be part of a team that drives the optimization of our core products and development of new products. You will work cross-functionally with the business analytics, data science, and engineering teams to turn raw client data into innovative business products. What You'll Do Build and validate predictive machine learning models to optimize our existing core product performance and help develop brand-new, data-driven features. Develop analytical tools and interactive dashboards to track performance both internally and externally. Deep dive into diverse client datasets to continuously analyze, track, and directly improve core operational performance metrics. Partner directly with external third-party data and software vendors to analyze performance gaps and identify strategic areas of improvement. Deploy data pipelines, models, and predictions into internal production servicing systems, and establish API connections to integrate external data sources. Work closely with our internal engineering and development teams to map out enhancements, optimize data architecture, and improve our internal systems. Rapidly scope, investigate, and execute ad-hoc business intelligence requests and investigative research assignments. What We're Looking For Master's degree in Analytics, Statistics, Engineering, Mathematics, or a closely related field; or a Bachelor's degree in similar fields with 2 years of work experience. High proficiency in writing clean, efficient Python and SQL scripts. Experience in developing and deploying machine learning models (e.g., scikit-learn, XGBoost, TensorFlow). Knowledge of statistical analysis, predictive modeling, and forecasting techniques. Experience with data pipeline and API integrations. A naturally sharp, critical thinker who can easily process ambiguous datasets, spot anomalies, and translate complex math into sound business logic. Strong analytical and problem-solving abilities. Excellent written and verbal communication skills for presenting findings to management and clients. Preferred Qualifications Master's degree in a quantitative or data science field. 1+ years of practical experience within a dedicated business analytics or data science role. Hands-on familiarity with modern AI-assisted "vibe coding" tools and workflows. Professional work experience in the consumer lending industry. What We Offer Competitive base salary plus performance-based incentives. Comprehensive benefits package, including health and dental insurance, paid holidays, generous PTO, and more. Dynamic and collaborative work environment. This position operates in a professional office environment and may involve collaboration with remote teams. Instructions If you are interested in this position, please apply with Indeed directly or follow the instructions below to ensure your application is considered: Submit your resume to: careers@icekredit.ai Prepare an up-to-date resume highlighting your relevant experience, skills, and achievements in data science, business intelligence or related fields. Include a cover letter explaining why you are interested in this position and how your experience makes you a strong candidate. Ensure your resume includes your current phone number and email address so we can reach you for the next steps. Send your resume and cover letter to the email address provided in the job posting. Use the subject line "Data Science Analyst Application - [Your Name]". If available, include professional references who can speak to your skills and work ethic. Thank You for your interest in joining our team!