[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