Staff Data Scientist

Who You’re Committed To Being

You enjoy learning and are open to new ways of doing things.
You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.
You are self-aware, insightful, and proactive.
You are a team member first and individual contributor second.
You are aware that high-performing teams are only as strong as their weakest link.
You believe in continuous improvement and request frequent feedback from others.

What You’ll Do

• 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.

Experience You’ll Bring

• 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).

Requirements

• 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.

About Us

We’re a blended workplace, where team members work remotely or in a hybrid setup depending on their role and location.
We’re mission driven and guided by our culture pillars.
We have a strong commitment to diversity and belonging.
We cultivate a culture of trust, autonomy, and collaboration.
We’re lifelong learners and champion team member growth and advancement.
We’ve got you covered - team member benefits include competitive compensation packages, medical coverage, unlimited PTO, wellness reimbursements, Pluralsight subscription, professional development funds and more.

Physical Requirements

This role is primarily performed in an office or home office setting and involves standard computer-based work.

EEOC Statement & Accommodations Statement

Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws. If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. All openings are posted on our Careers page.