Data Scientist III

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.

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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

• Lead the design, development, validation, and deployment of production-grade machine learning models for customer segmentation, propensity scoring, behavioral prediction, and related customer intelligence use cases • Own the full model lifecycle for complex workstreams, including problem framing, data exploration, feature engineering, training, validation, deployment readiness, monitoring, retraining, and performance interpretation • Define evaluation frameworks and success metrics connecting model performance to client, product, and business outcomes • Partner with product and engineering leaders to shape modeling roadmaps, clarify trade-offs, and prioritize high-impact analytical solutions • Provide mentorship, code review, and technical guidance to data scientists, analysts, and adjacent technical partners • Establish and promote best practices for model documentation, reproducibility, explainability, fairness, governance, and compliance review • Collaborate with MLOps, engineering, and data platform teams to ensure scalable, reliable, and maintainable model deployment patterns • Communicate complex modeling concepts, analytical findings, and business implications clearly to technical and non-technical stakeholders, including leadership and clients

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related quantitative field • 5–8+ years of progressive experience in applied machine learning, data science, or advanced analytics • Demonstrated track record of delivering impact in production environments • Expert proficiency in Python, including pandas, scikit-learn, XGBoost, or LightGBM • SQL proficiency • Experience developing and deploying machine learning solutions end-to-end, including problem framing, validation, monitoring, lifecycle management, and stakeholder adoption • Strong foundation in statistical modeling, supervised and unsupervised learning, customer analytics, experimental design, A/B testing, model validation frameworks, and responsible AI practices • Experience with cloud platforms, preferably AWS • Experience with modern data ecosystems, Snowflake, MLOps tooling, and production deployment patterns • Strong stakeholder management and communication skills • Ability to engage with leadership and clients • Experience in financial services, fintech, or other regulated environments is strongly preferred • Applicants must be authorized to work in the United States without the need for sponsorship now or in the future

🏖️ Benefits

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