Data Scientist

About The Company

Pluralsight is a leading technology skills platform dedicated to accelerating the capabilities of today's tech workforce. Serving thousands of companies, government agencies, and individual learners worldwide, Pluralsight offers a comprehensive suite of curated content developed by vetted industry experts. Our platform focuses on critical areas such as artificial intelligence, cloud computing, cybersecurity, software development, and machine learning, providing immersive, hands-on learning experiences that enable learners to upskill rapidly. We are committed to fostering a diverse and inclusive environment that promotes continuous growth, innovation, and excellence in technology education.

About The Role

As a Staff Data Scientist at Pluralsight, you will be instrumental in leading our Data Science and Machine Learning (DSML) initiatives. Your expertise will drive high-impact projects that enhance our product features and user experience, directly contributing to our strategic growth. You will be responsible for end-to-end project execution, from problem definition and data exploration to model development, deployment, and evaluation. Collaborating closely with product managers, engineers, and business stakeholders, you will translate complex data insights into actionable strategies. This role requires a strategic thinker with deep technical mastery, leadership capabilities, and a passion for innovation. You will also mentor junior data scientists, fostering a culture of technical excellence and continuous learning within the team.

You will stay at the forefront of industry trends, evaluating emerging technologies for potential adoption to maintain our competitive edge. Your ability to communicate complex insights through clear visualizations and presentations will be key in influencing decision-making across technical and non-technical audiences. This is a remote position with a flexible work arrangement, primarily working from home or our Westlake/Dallas, TX office on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays.

Qualifications

• Advanced degree (Ph.D. or M.S.) in Computer Science, Statistics, Mathematics, Engineering, or a related field
• 7+ years of professional 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 deployment experience
• Proficiency in Python and interactive development environments such as Jupyter
• Experience with modern data platforms (e.g., Snowflake, dbt, Airflow, Kubernetes) for scalable data processing and analytics
• Hands-on experience with ML platforms (e.g., PyTorch, TensorFlow, MLflow, Hugging Face) and MLOps practices
• Strong foundation in software engineering best practices, including version control, CI/CD, and reproducibility
• Excellent problem-solving, mentorship, and cross-functional collaboration skills
• Experience with data visualization tools and lightweight app frameworks like Streamlit

Responsibilities

• Lead and execute comprehensive data science and AI projects, overseeing all phases from problem formulation to deployment and monitoring
• Collaborate with cross-functional teams to define project goals, prioritize initiatives, and ensure alignment with business objectives
• Develop, implement, and optimize advanced machine learning models and algorithms to enhance product features and business processes
• Mentor and coach data scientists, fostering a culture of technical excellence, innovation, and continuous improvement
• Stay updated on industry trends, emerging technologies, and best practices; evaluate their applicability and advocate for their adoption
• Translate complex data insights into clear, compelling visualizations and presentations for diverse audiences
• Ensure model deployment and operationalization adhere to best practices in MLOps and scalable infrastructure
• Contribute to establishing scalable data pipelines, data governance, and reproducibility standards
• Support product teams with data-driven insights to inform strategic decisions and feature development

Benefits

• Competitive salary package aligned with experience and location
• Comprehensive medical, dental, and vision insurance coverage
• Unlimited paid time off (PTO) to promote work-life balance
• Wellness reimbursements and support programs
• Access to Pluralsight's extensive professional development resources and subscriptions
• Flexible remote work arrangements with optional on-site collaboration
• Inclusive and diverse workplace culture that values innovation and continuous learning

Equal Opportunity

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, veteran status, or any other protected characteristic. We are committed to creating an inclusive environment that fosters diversity, equity, and belonging.