OverviewKeysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights to the world's visionaries and innovators in electronic design, simulation, prototyping, test, manufacturing, and optimization.
Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries.
Our technical solutions - and our methods for creating them - help connect and secure the world.
Learn more about what we do and how we do it.Our powerful culture has led to us being independently recognized on Fortune 100's Best Companies List and we are "Great Place to Work" Certified.
We're driven, collaborative, ethical, and curious, and we value all ideas, especially bold ones.
And our culture extends far beyond our own walls.
Our corporate social responsibility efforts support our communities, nurture the next generation of engineers, and promote environmental sustainability.At Keysight, Inclusion, Equity & Diversity is an integral part of our core values.
We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
We believe everyone should be respected in the workplace and in their communities regardless of race, color, age, gender, sexual orientation, gender identity and expression, ethnicity, religion, disability, veteran status, national origin, or any protected class.
We continuously challenge ourselves to grow in our understanding of inclusion by engaging in a wide variety of diversity programs, initiatives, employee network groups and mentoring/development.
This is Keysight - People and Culture - YouTubeResponsibilitiesKeysight Global Marketing (KGM) is hiring a Marketing Data Scientist who will collaborate with team members to implement machine learning models leveraging data from sources across the sales and marketing pipeline.
You will be joining a small, highly visible, analytics and operations team reporting into the CMO.Primary ResponsibilitiesUse SQL and Python to build models leveraging data from multiple data sources across a multi-touch multi-contact organization-based customer journeyExplain model performance and provide recommendations for feature generation and selection to business users with limited experience in ML conceptsBuild and deploy machine learning models leveraging packages like Scikit-learn and PandasDesign reporting dashboards within Domo, our BI platform, following data visualization best practicesIdentify gaps in processes and data collection to proactively ensure data quality across the marketing organizationCollaborate with fully remote teammates: communicating needs, coordinating work, and communicating timelines and deliverables across global time-zonesQualificationsBA in marketing, engineering, statistics, economics, computer science, or equivalent work experience2+ years building and tuning machine learning models2+ years working with B2B marketing data with an understanding of the lead journey, lead qualification processes,account-based marketing (ABM) metrics, and the marketing and sales pipeline2+ years executing work as part of a project-based team (agile project management experience preferred)1+ years workingwith Domo or 2+ years working withother BI platformsStrong understanding of statistics and practical application of machine learning modelsAbility to independently build, evaluate performance of, and tune machine learning modelsProficiency in Python; proficiency with git and version control; proficiency in working with APIsExcellent inter-personal communication skills – especially in the context of a fully-remote team and work environmentCategories: Marketing
