Junior Marketing Data Scientist

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November 14

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CDW

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Enterprise • SaaS • Cybersecurity

CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.

10,000+ employees

Founded 1984

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

💰 Post-IPO Equity on 2015-07

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Benefits overview: https://cdw.benefit-info.com/