[Remote] Staff Data Scientist

Note: The job is a remote job and is open to candidates in USA. Pluralsight is a company dedicated to accelerating the technology skills of the workforce. They are seeking a Staff Data Scientist to lead high-impact projects in data science and machine learning, driving product innovation and delivering actionable insights.

Responsibilities

• Lead and execute end-to-end data science and AI projects, including problem definition, data exploration, model development, deployment, and evaluation
• Collaborate with product managers, engineers, and business stakeholders to define project objectives, align on priorities, and ensure successful outcomes
• Develop and implement advanced machine learning and AI models and algorithms to drive product innovation, improve user experience, and optimize business processes
• Coach, mentor and develop data scientists, fostering a culture of technical excellence and continuous learning
• Stay abreast of industry trends, emerging technologies, and best practices in data science, machine learning, and AI; evaluate and advocate for their adoption within the team and organization
• Communicate complex data-driven insights and recommendations to technical and non-technical stakeholders through clear visualizations and presentations

Skills

• Advanced degree (Ph.D. or M.S.) in Computer Science, Statistics, Mathematics, Engineering, or a related field
• 7+ years of experience in data science, applied AI, or machine learning, with a proven track record of delivering impactful, product-oriented projects
• Deep understanding of machine learning algorithms, large language models (LLMs), and statistical methods, with practical experience deploying them in production
• Proficiency in Python and interactive development environments (e.g., Jupyter or similar)
• Experience with modern data platforms for scalable data processing and analytics (e.g., Snowflake or other cloud data warehouses; dbt or similar frameworks; Airflow or other orchestration tools; Kubernetes or comparable container systems)
• Experience with modern ML platforms for development, deployment, and operations (e.g., PyTorch/TensorFlow; MLflow or similar experiment tracking; Hugging Face or vector databases for LLMs; MLOps practices at scale)
• Familiarity with model deployment and serving approaches, including use of large compute resources
• Experience with data visualization and lightweight app frameworks (e.g., Streamlit or comparable) for communicating insights
• Strong foundation in software engineering best practices (e.g., Git/GitLab, CI/CD, reproducibility)
• Demonstrated ability to solve complex problems, mentor others, and influence across technical and product teams with clear communication and collaborative leadership

Benefits

• Competitive compensation packages
• Medical coverage
• Unlimited PTO
• Wellness reimbursements
• Pluralsight subscription
• Professional development funds

Company Overview

Company H1B Sponsorship