Data Scientist II

F5 • San Jose, CA

20h • Hybrid

About The Position

Join F5's Data & Insights team as a Data Scientist II and make a real impact with data. You'll leverage advanced statistical methods, machine learning, and large language models (LLMs) to create and scale data products that drive decision-making, boost revenue, and streamline operations. Your work will influence strategic initiatives, product development, and operational efficiency across the organization.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
• 3+ years of professional experience in data science, with a demonstrated track record of delivering impactful insights and production-grade models.
• Hands-on experience working with large-scale datasets using distributed computing platforms such as Snowflake and Databricks.
• Proficient in SQL and Python.
• Skilled in LLM prompt engineering and integrating LLM APIs into workflows.
• Expertise with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
• Experience with MLflow, feature stores, and feature evaluation tools.
• Strong understanding of experiment design, A/B testing, and causal inference methodologies.
• Experience with containerization and deployment tools (e.g., Docker, Kubernetes) for productionizing models and data science solutions.
• Comfortable with version/source control (e.g., Git), ML pipelines, and AI coding assistants.
• Proven ability to evaluate, optimize, and monitor model performance tied to business outcomes.
• Enthusiastic collaborator who builds strong stakeholder relationships and delivers successful business solutions.
• Demonstrates ownership, initiative, and a proactive mindset — "figure it out, make it happen, and share what you learned."
• Strong communicator who can translate complex technical concepts for non-technical audiences.
• Effective working both independently and as part of a small, high-demand team.

Nice To Haves

• Please provide an IP-respectful portfolio of work examples.

Responsibilities

• Design, develop, and deploy advanced statistical models and machine learning algorithms to address descriptive, predictive, and prescriptive business needs.
• Perform exploratory data analysis to uncover trends, patterns, and anomalies in large datasets; communicate findings clearly to audiences at all levels.
• Build predictive and classification models to forecast key metrics, support operational decisions, and guide business strategy.
• Design and execute experiments, including A/B tests and causal inference methods, to measure impact and inform strategic decisions.
• Develop AI agents and NLP solutions using large language models (LLMs) to solve internal business problems.
• Leverage AI-assisted coding tools responsibly in day-to-day work to improve speed, reliability, repeatability, and quality of results.
• Partner with project management, data engineering, data analytics, customer success, marketing, and finance teams to understand business requirements, build relationships, and deliver actionable insights.
• Present findings and recommendations to business users and senior leadership in a clear, compelling manner.
• Collaborate with the Data & Insights team to build and maintain scalable data pipelines for ongoing analysis and reporting.
• Stay current with advancements in AI tools, agentic frameworks, data science methodologies, machine learning, and causal inference.
• Continuously refine models and processes to improve accuracy, efficiency, and business impact.

Benefits

• Competitive salary plus benefits
• Incentive compensation
• Bonus
• Restricted stock units
• More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level