People Matter

Data Scientist-II- Global Services



Data Science
Multiple locations
Posted on Friday, September 1, 2023

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.

Join our Global Services Data team within Global Services Support and help us realize our goal of providing insightful data visualization, machine learning modeling, and predictive analytics to help our business teams report on internal metrics.

**This opportunity is a hybrid role at our Seattle HQ location or Liberty Lake, WA

Deliver more relevant and insightful experiences for our employees and customers, and contribute to our collective ability to make data led decisions as a Data Scientist!

On this team, you will work closely with key stakeholders to develop and drive a strategic vision for our data capabilities. You will bring your knowledge, expertise, and a real passion for solving problems with data to innovate in all areas of our digital journey touchpoints, customer analytics, and reporting platforms. You will seek new and novel ways to expose previously unknown insights into our support related data. You will work to streamline our data collection and analysis systems and drive documentation of processes and standards. Additionally, you will collaborate with your data science peers across F5 to further our data capabilities.

What will you do?

  • You will provide technical guidance to the GS Data team in analyzing and understanding patterns in our data related to customer support, web portal user behavior, usage analytics, and the overall customer journey

  • You will collect and clean data from our data lake to build models for use in our analytics platform

  • You will maintain existing Tableau flows and workbooks as well as create new visualizations for the business

  • You partner and collaborate with data science peers across F5 to deepen our collective understanding of customer problems spanning the F5 customer journey, and discover solutions in our data

  • You’ll reliably communicate verbally and in writing to business customers and leaders at all levels with varying degrees of technical knowledge, educating them about our systems, as well as sharing insights and recommendations with the team

  • You will demonstrate programming and software development competence, and be comfortable working in an interdisciplinary, team-oriented, applied research and engineering environment.

  • You can prototype statistical and quantitative analysis, build machine learning models as well as work with engineering teams to deliver them to production

  • You will work with the GS Management team to define vision and strategic direction for our data maturity

  • You will, at times, lead, coordinate, and/or delegate tasking or other activities for teammates, interns, and/or additional resources from cross functional teams

  • You will work with multiple teams across Global Services as the need arises for cross-functional projects

  • You will identify areas of growth in resourcing, training, tools, and methodologies for our growing data team

Knowledge, Skills and Abilities

  • You'll have a good understanding and hands-on experience in time-series signal processing, statistical modeling, and general machine learning practice.

  • You are a Tableau Desktop Specialist or Tableau Certified Data Analyst

  • Experience in programming languages such as Python or R

  • Experience with Data Science Python packages such as Pandas, NumPy, scikit-learn

  • You can handle unit testing, machine learning model testing, a machine learning framework such as PyTorch

  • You naturally take ownership of your work and a desire useful and valuable outcomes

  • Experience with performing analysis on large data sets using tools like SQL

  • Experience with Databricks, Huggingface, MLFlow is a plus

  • Expertise in data modeling, cloud data warehouses (e.g. Snowflake), data ETLs. Experience in dbt is a plus

  • Strong experience in development and implementation of statistical and ML models

  • Experience in NLP, Transformers, fine-tuning open-source models is a plus

How do you qualify?

  • Showcase a minimum of 2 years related experience with a bachelor's degree; or 1 year and a master's degree; or a PhD without experience; or equivalent work experience.

Experience in the following:

  • 2+ years of experience in SQL

  • Building business facing visualizations and dashboards preferably in Tableau

  • Experience with mathematics, statistical and quantitative analysis, or machine learning a plus

  • Experience in applying statistical techniques in a business and/or marketing context using R or Python

  • Experience in experiment design, hypothesis testing and statistical analysis


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.

The annual U.S. base pay range for this position is: $92,225.00 - $138,337.00

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: 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 or auto email notification from Yello/Workday (ending with or

Equal Employment Opportunity