Data Scientist II

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CSI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1965

💳 Fintech

🏦 Banking

🔒 Cybersecurity

💰 Private Equity Round on 2024-01

Fintech • Banking • Cybersecurity

CSI is a technology company specializing in modern banking solutions, offering products such as core banking software, digital banking, payment processing, and managed cybersecurity services. Their integrated solutions also include advisory services focused on financial crimes compliance and mitigation. CSI aims to empower financial institutions to thrive in a digital landscape while enhancing customer experience and operational efficiency.

📋 Description

• Build and deploy machine learning models for customer segmentation, propensity scoring, and behavioral prediction in partnership with senior data scientists • Own data exploration, feature engineering, and model validation for assigned modeling projects, with regular code review and technical guidance from the senior team • Partner with MLOps engineers to deploy models to production and ensure ongoing performance through monitoring and retraining • Contribute to evaluation frameworks and success metrics connecting model outputs to client business outcomes • Collaborate with product, engineering, and data engineering peers on cross-functional initiatives • Document modeling work for internal stakeholders, financial institution clients, and compliance review • Participate in technical discussions, code reviews, and team learning sessions • Support analytical work and dashboards translating model outputs into actionable insights for clients

🎯 Requirements

• 3-5 years of experience in applied machine learning, data science, or analytical engineering roles • At least 1 year in production-grade modeling work • Strong proficiency in Python (pandas, scikit-learn) and SQL for data analysis and modeling • Experience with supervised and unsupervised learning techniques including classification and regression • Familiarity with common modeling pitfalls in customer behavioral data • Hands-on experience with at least one cloud-based ML platform (AWS preferred, but GCP or Azure acceptable) • Demonstrated ability to take a modeling project from problem framing through validation independently • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a quantitative field • Strong communication skills and ability to translate technical work for non-technical audiences

🏖️ Benefits

• Eligibility for incentive awards based on both individual and business performance • Comprehensive range of benefits