Staff Data Scientist

Job Description

Required Skills

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.
• 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).
• 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.
• 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.
• This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.