Similar Jobs at CDW
Artificial Intelligence • eCommerce • Information Technology • Internet of Things • Automation
Lead project teams in designing and implementing IT service solutions using VMware technologies. Serve as a trusted advisor and maintain client relationships. Responsible for quality assurance, documenting service offerings, mentoring, and analyzing engagement trends.
Top Skills:
NsxVcf AutomationVcf OperationsVmware Cloud FoundationVsanVsphere
Artificial Intelligence • eCommerce • Information Technology • Internet of Things • Automation
The AWS Business Development Lead - Public Sector is responsible for developing sales strategies to expand business within public sector accounts, manage customer opportunities, support proposal development, and lead strategic conversations around AWS cloud transformation projects.
Top Skills:
AWSVMware
Artificial Intelligence • eCommerce • Information Technology • Internet of Things • Automation
The Senior Services Process Transformation Analyst collaborates with stakeholders to analyze, document, and improve business processes, while assisting in the implementation of technology-driven changes.
Top Skills:
Data AnalyticsExcelMS OfficePower BI
Description
At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW.
* Job Summary
* As a Jr Marketing Data Scientist, you will play a key role in supporting advanced marketing analytics initiatives, including developing of propensity to buy models, synthetic personas profiling, recommendation for next best action, and automation of insights for research and reporting questions. This role also involves applying foundational AI and machine learning techniques to solve business problems and automate processes. Your contributions will help build scalable, well-documented solutions that drive measurable impact across marketing and customer experience. Your work will directly impact how we acquire, engage, and retain B2B customers across our technology products and services portfolio. You will work closely with senior analysts, marketing campaign managers, and channel owners to explore datasets, perform statistical analyses, and develop automated solutions. Your role will emphasize hypothesis testing, data validation, and building scalable Python-based workflows to gain deep understanding about customer behavior and uncover opportunities for driving demand.
* What you will do:
* Support development of predictive models for marketing segmentation, customer journey mapping, and profiling marketing personas.
* Apply statistical methods and hypothesis testing to validate marketing strategies and campaign performance.
* Assist in implementing machine learning algorithms for personalization and optimization tasks.
* Build and maintain Python-based workflows for data cleaning, feature engineering, and automation.
* Collaborate with marketing stakeholders to translate business objectives into analytical solutions.
* Build AI agents to automate modeling and analytics insights tasks
* Contribute with know-how and innovative ideas to the development of the AI-driven eco-system for advanced marketing analytics.
* Document processes and ensure reproducibility of models and analyses.
* Provide ad hoc analysis to support marketing campaigns and strategic decisions.
* What we expect of you:
* Bachelor's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and 1 year of experience in data science or analytics (internships or academic projects count) OR
* Master's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and a previous internship.
* Proficiency in Python for data manipulation and modeling (pandas, NumPy, scikit-learn, matplotlib).
* Strong understanding of statistical concepts, hypothesis testing, and experimental design.
* Hands-on experience at work or in school with machine learning techniques and AI concepts (e.g., supervised learning, NLP basics).
* Strong understanding of and comfort in using generative AI tools.
* Familiarity with marketing analytics concepts such as segmentation and journey mapping.
* Basic SQL knowledge for data querying.
* Excellent problem-solving skills and attention to detail.
* Strong written and verbal communication skills. Pay range: $84,000 - $116,800 depending on experience and skill set Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials
* We make technology work so people can do great things.
* CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW.
* Job Summary
* As a Jr Marketing Data Scientist, you will play a key role in supporting advanced marketing analytics initiatives, including developing of propensity to buy models, synthetic personas profiling, recommendation for next best action, and automation of insights for research and reporting questions. This role also involves applying foundational AI and machine learning techniques to solve business problems and automate processes. Your contributions will help build scalable, well-documented solutions that drive measurable impact across marketing and customer experience. Your work will directly impact how we acquire, engage, and retain B2B customers across our technology products and services portfolio. You will work closely with senior analysts, marketing campaign managers, and channel owners to explore datasets, perform statistical analyses, and develop automated solutions. Your role will emphasize hypothesis testing, data validation, and building scalable Python-based workflows to gain deep understanding about customer behavior and uncover opportunities for driving demand.
* What you will do:
* Support development of predictive models for marketing segmentation, customer journey mapping, and profiling marketing personas.
* Apply statistical methods and hypothesis testing to validate marketing strategies and campaign performance.
* Assist in implementing machine learning algorithms for personalization and optimization tasks.
* Build and maintain Python-based workflows for data cleaning, feature engineering, and automation.
* Collaborate with marketing stakeholders to translate business objectives into analytical solutions.
* Build AI agents to automate modeling and analytics insights tasks
* Contribute with know-how and innovative ideas to the development of the AI-driven eco-system for advanced marketing analytics.
* Document processes and ensure reproducibility of models and analyses.
* Provide ad hoc analysis to support marketing campaigns and strategic decisions.
* What we expect of you:
* Bachelor's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and 1 year of experience in data science or analytics (internships or academic projects count) OR
* Master's degree in Data Science, Statistics, Computer Science, Data Analytics or related field and a previous internship.
* Proficiency in Python for data manipulation and modeling (pandas, NumPy, scikit-learn, matplotlib).
* Strong understanding of statistical concepts, hypothesis testing, and experimental design.
* Hands-on experience at work or in school with machine learning techniques and AI concepts (e.g., supervised learning, NLP basics).
* Strong understanding of and comfort in using generative AI tools.
* Familiarity with marketing analytics concepts such as segmentation and journey mapping.
* Basic SQL knowledge for data querying.
* Excellent problem-solving skills and attention to detail.
* Strong written and verbal communication skills. Pay range: $84,000 - $116,800 depending on experience and skill set Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials
* We make technology work so people can do great things.
* CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

