Enterprise Data Scientist

Job not on LinkedIn

October 23

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Logo of Newfire Global Partners

Newfire Global Partners

B2B • Artificial Intelligence • Fintech

Newfire Global Partners is an American IT services and advisory firm (founded in 2016 in Boston) that provides talent augmentation, software engineering, data & analytics, and AI/ML advisory to enterprise and investor clients. The company offers multidisciplinary engineering, product, and marketing teams, technical due diligence for VC/PE, data platform optimization, and an internal ML tool (Novel Heat) to improve code quality and Scrum velocity. Newfire operates across the Americas, Europe, and APAC with a 24x5 follow-the-sun delivery model and focuses on sectors such as digital healthcare, fintech, cybersecurity, and education technology.

501 - 1000 employees

Founded 2016

🤝 B2B

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• Perform deep exploratory data analysis on unstructured documents and enterprise datasets • Build predictive models for business process automation, content classification, and decision support • Analyze patterns in business documents, customer interactions, and operational data • Create data quality frameworks and synthetic datasets to enable secure global development • Develop statistical models for optimization, forecasting, and anomaly detection • Validate business rules and decision logic against real-world data patterns • Collaborate with domain experts to ensure models align with business objectives • Present findings to business stakeholders and translate technical results into actionable recommendations

🎯 Requirements

• 3+ years experience with enterprise or business data analytics • Strong statistical modeling background (Python/R, scikit-learn, statistical methods) • Experience with unstructured text data and document analysis • Proficiency in data privacy techniques including synthetic data generation and anonymization • Experience working with distributed teams and secure data handling protocols • Strong SQL skills and experience with large-scale data processing • Understanding of business process analysis and workflow optimization • Bachelor's degree in Statistics, Data Science, Economics, Computer Science, or related field

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