Data Scientist II

1w1 week ago

US · Full-time · $111,200 – $166,800

About this role

F5 empowers organizations to create, secure, and run applications enhancing the digital world, with passion for cybersecurity. Join the Data & Insights team as Data Scientist II to make real impact. Leverage advanced statistical methods, machine learning, and large language models to create scalable data products driving decisions, revenue, and operations.

Conduct exploratory data analysis to uncover trends, patterns, and anomalies in large datasets, communicating findings to all levels. Build predictive and classification models forecasting metrics and guiding strategy. Design experiments including A/B tests and causal inference to measure impact.

Develop AI agents and NLP solutions using LLMs for internal problems. Partner with data engineering, analytics, customer success, marketing, and finance to deliver insights. Present recommendations compellingly to business users and senior leadership.

Collaborate to build scalable data pipelines for analysis and reporting. Stay current with AI tools, agentic frameworks, ML, and causal inference. Continuously refine models and processes for accuracy, efficiency, and business impact in a diverse F5 community.

Requirements

3+ years of professional experience in data science with track record of delivering impactful insights and production-grade models; provide IP-respectful portfolio
Hands-on experience 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

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 and communicate findings clearly
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 to improve speed, reliability, repeatability, and quality of results
Partner with project management, data engineering, analytics, customer success, marketing, and finance teams to deliver actionable insights
Present findings and recommendations to business users and senior leadership in a clear, compelling manner