Senior Data Scientist

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 19%

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Logo of CTI Staffing

CTI Staffing

11 - 50 employees

Founded 1998

🎯 Recruiter

🤝 B2B

Recruitment • B2B

CTI Staffing is a staffing and recruiting firm that specializes in onshore and nearshore talent solutions across the US, Canada and LATAM. The company places candidates in contract and permanent roles, offers services for both candidates and hiring organizations, and emphasizes cultural fit and long-term partnerships. With 25+ years of experience and a LATAM headquarters for nearshore engagement, CTI focuses on building teams quickly and supporting clients with tailored recruiting and staffing processes.

📋 Description

• Work with large and complex data sets to solve unstructured problems using analytical and statistical approaches for multiple products independently • Lead sourcing, ingesting, and cleaning data sets in preparation for analysis • Assist more experienced data scientists to productionize and scale data cleanup processes • Ensure data stability, accounting for complex data drift in development and production • Build econometric, statistical, and machine learning models for classification, clustering, pattern analysis, sampling, and simulations • Commit complex code into the model repository and promote complex models into production • Develop champion/challenger models and adjust models accordingly • Implement a framework for building self-healing models • Select and refine models based on performance, reliability, stability metrics, and business feedback • Draft model refinement educational materials for data users • Create model outputs for business discussions to display outcomes, impact, and business value • Lead less experienced team members in creating consumable model outputs • Attend stakeholder meetings to discuss concerns, opportunities, and production challenges • Work with more experienced data scientists to develop new research approaches and assess adaptation based on client needs • Review code for efficiency, accuracy, and best practices • Adhere to company risk and regulatory standards, policies, controls, and risk appetite • Identify risk-related issues requiring escalation to management • Promote an environment supporting diversity and reflecting the Bank brand • Maintain internal control standards and implement audit and regulatory action items • Complete other related duties as assigned

🎯 Requirements

• Bachelor’s degree and a minimum of 5 years related experience, or in lieu of a degree, a combined minimum of 9 years higher education and/or work experience, including a minimum of 5 years related experience • Experience working with multiple statistics and data science principles such as AB testing, sample selection, hypothesis testing, and modeling bias • Proficiency with pertinent statistical software, languages, and tools • Experience with various hybrid databases both on premise and in the cloud • Intermediate level knowledge of Structured Query Language (SQL) and Not Only Structured Query Language (nSQL) • Intermediate understanding of modeling techniques such as Bayesian Modeling, Classification models, Cluster analysis, Neural Network, Non-parametric methods, and Multivariate statistics • Experience analyzing large data sets • Master’s of Science or Doctorate degree in Statistics, Economics, Finance, or related field is preferred • Fluent in econometric/statistical techniques, including time-series analysis, panel data methods, and logistic regression • Tactical experience with pertinent statistical software, languages, and tools

🏖️ Benefits

• Remote work arrangement

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