Senior Data Scientist

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. 
 

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

• Location: Seattle, WA, Remote overlapping with Continental US time zones
• Reporting to: Director of Data Science 
• Compensation: Competitive salary plus benefits 

Join F5’s Data & Insights team as a Senior Data Scientist and make a measurable impact on teams making decisions with data. You’ll use statistical, causal, machine learning, and LLM modeling to create and scale use, understanding and leverage of data-enabled decision-making. Succes criteria will include enabling effective actions, boosting revenue, and streamlining operations. Your work will influence strategic initiatives, customer interactions, sales strategy, and forecasting across F5 Inc.

• Develop and deploy advanced statistical models and machine learning algorithms to tackle complex business problems, including RCTs and causality modeling.
• Perform exploratory data analysis to uncover trends, patterns, and anomalies in large datasets.
• Build predictive models to forecast key metrics, guide business strategy, and tune performance to business needs and constraints.
• Design and maintain scalable data and model pipelines
• Reusable model feature development
• Continuously refine models and processes to improve accuracy and efficiency.

• Work closely with data science team, as well as business analysts, data analysts, data engineering, and functional teams from customer success, renewals, sales, and marketing teams to understand data needs and deliver actionable insights.
• Present your findings and recommendations to senior leadership in a focused, clear and engaging way.
• Work with delivery teams to land insights and forecasts in business applications and processes.
• Stay current with the advancements in AI engineering, causal modeling, forecasting, propensity modeling, EDA, machine learning, and NLP.

• Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• 5+ years in data science, with a proven track record of delivering impactful insights and models.
• Experience with large-scale datasets and distributed computing tools e.g. Snowflake, Azure Data Warehouse, Databricks, and Spark.
• Have successfully delivered complex projects sustaining ongoing use as part of a business team

• Strong knowledge of SQL and relational databases.
• Proficient in programming languages such as Python, including use of notebooks, tabular data (Pandas, Spark) and integration with LLMs (Langchain, MCPs).
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, PyMC, Stan).
• Model development and maintenance (MLFlow), and data lifecycle management.
• Experience with source control (git) and AI copilots (Claude Code)
• Proven ability to optimize model performance for business outcomes.
• Proficiency in LLM prompt engineering.

• Drive and ability to create reliable, working data deliverables (MVP) and iterate to required quality.
• Enthusiastic about collaborating with stakeholders to build business solutions.
• Demonstrates ownership and a proactive attitude to “make it happen.”
• Strong communicator, discern what users need to understand and use data; able to explain complex technical concepts to non-technical stakeholders when necessary.
• Capable of working independently and as part of a team.

At F5, we harness the power of data to drive business success. As a Senior Data Scientist on our Data Accelerator team, you’ll shape the future of data utilization at F5. Deliver critical insights and data products that empower decision-making across the company. We offer a collaborative and innovative environment that values professional growth and celebrates impactful contributions. Join us and transform data into a cornerstone of F5’s success!

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.

You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice. 

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination.  F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting [email protected].