Senior Data Scientist II

About the role

The ideal candidate combines strong software development skills with practical experience applying machine learning, statistical methods, and generative AI technologies to real-world problems. You will contribute to the development of scalable analytical services, intelligent decision-support capabilities, research initiatives, and production-grade AI features.

Responsibilities

• Independently scope, execute, and lead small-scale projects while contributing to larger, more complex initiatives.
• Design, develop, and maintain analytical applications, services, and reusable components that support AI-enabled products.
• Support the full analytical development lifecycle, including solution design, implementation, validation, deployment, and ongoing enhancement.
• Develop robust data pipelines and analytical workflows that transform large, complex datasets into actionable insights and product capabilities.
• Extract, clean, and design large and complex datasets to support analysis, experimentation, and product delivery.
• Build and operationalize statistical models, machine learning solutions, and intelligent decision-support capabilities.
• Contribute to the development of AI-powered product features through prompt engineering, retrieval strategies, workflow design, and integration of analytical capabilities.
• Write high-quality, maintainable code following software engineering best practices including testing, documentation, code reviews, and performance optimization.
• Communicate analytical findings and technical recommendations to both technical and non-technical stakeholders.
• Collaborate closely with software engineers, product managers, project managers, analysts, and architects to deliver customer-facing solutions.
• Support product development, research, prototyping, and innovation initiatives across the organization.

Requirements

• Must be a US Citizen or Green Card holder.
• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, Engineering, or a related field, and 10+ years of relevant work experience; or a Master's degree in a related field and 5+ years of relevant work experience.
• Demonstrated experience applying data science, analytics, statistical, or engineering principles in a professional setting.
• Strong software development experience using Java and familiarity with modern development frameworks, design patterns, and object-oriented design principles.
• Proficient in Python, SQL, Pandas, NumPy, and related data science and analytical tooling.
• Experience building, integrating, and deploying analytical or AI-driven services within production environments.
• Demonstrates proficiency in machine learning, statistical modeling, data science frameworks, and generative AI technologies.
• Experience with Generative AI platforms and tools, including OpenAI, Microsoft Copilot, Claude, and related ecosystems.
• Familiarity with API development, service-oriented architectures, cloud-native applications, and software engineering best practices.
• Skilled in processing and manipulating large datasets, feature engineering, data preparation, and analytical workflow development.
• Experience designing analytical capabilities that combine software engineering, business logic, data science, and AI techniques to deliver reliable and explainable outcomes in production systems.
• Strong problem-solving skills with the ability to determine when statistical, machine learning, rules-based, or software-based approaches are most appropriate.
• Strong documentation, written communication, and verbal communication skills.
• Strong interpersonal skills with the ability to collaborate effectively across technical and non-technical teams.
• Organized with the ability to manage multiple concurrent priorities and projects.
• Self-starter with a strong desire to learn new technologies and approaches.
• Demonstrates leadership within small teams and project initiatives.
• Detail-oriented critical thinker with strong analytical and systems-thinking skills.

Qualifications

• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, Engineering, or a related field, and 10+ years of relevant work experience; or a Master's degree in a related field and 5+ years of relevant work experience.
• Demonstrated experience applying data science, analytics, statistical, or engineering principles in a professional setting.
• Strong software development experience using Java and familiarity with modern development frameworks, design patterns, and object-oriented design principles.
• Proficient in Python, SQL, Pandas, NumPy, and related data science and analytical tooling.
• Experience building, integrating, and deploying analytical or AI-driven services within production environments.
• Demonstrates proficiency in machine learning, statistical modeling, data science frameworks, and generative AI technologies.
• Experience with Generative AI platforms and tools, including OpenAI, Microsoft Copilot, Claude, and related ecosystems.
• Familiarity with API development, service-oriented architectures, cloud-native applications, and software engineering best practices.
• Skilled in processing and manipulating large datasets, feature engineering, data preparation, and analytical workflow development.
• Experience designing analytical capabilities that combine software engineering, business logic, data science, and AI techniques to deliver reliable and explainable outcomes in production systems.
• Strong problem-solving skills with the ability to determine when statistical, machine learning, rules-based, or software-based approaches are most appropriate.
• Strong documentation, written communication, and verbal communication skills.
• Strong interpersonal skills with the ability to collaborate effectively across technical and non-technical teams.
• Organized with the ability to manage multiple concurrent priorities and projects.
• Self-starter with a strong desire to learn new technologies and approaches.
• Demonstrates leadership within small teams and project initiatives.
• Detail-oriented critical thinker with strong analytical and systems-thinking skills.

Skills

• Machine Learning
• Statistical Modeling
• Data Science Frameworks
• Generative AI Technologies
• API Development
• Service-Oriented Architectures
• Cloud-Native Applications
• Software Engineering Best Practices
• Data Manipulation
• Feature Engineering
• Analytical Workflow Development

Benefits

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

Pay

$104,900 - $174,700 U.S. National Base Pay Range. Geographic differentials may apply in some locations to better reflect local market rates.

Schedule

This job is eligible for an annual incentive bonus.