Junior Marketing Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 10,001+Since 1984H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

120 days ago

Salary

$84K - $116.8K / year

Bachelor Degree1 yr expExperience acceptedEnglishNumpyPandasPythonScikit LearnSQL

Job 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.

Job 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/

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