Marketing Data Scientist

Hype Invention
Full-timeColombo, Sri Lanka

What You’ll Be Doing:

  • Develop and implement advanced machine learning models to drive predictive analytics for marketing strategies.
  • Design and build robust prediction models to forecast trends and optimize marketing outcomes.
  • Create and maintain dynamic, interactive dashboards and reports using Power BI, Looker Studio, and other BI tools to visualize key marketing metrics and KPIs.
  • Integrate and process large datasets from various sources, ensuring seamless data integration for model training, evaluation, and dashboard creation.
  • Utilize Python and SQL to develop, test, and deploy machine learning algorithms and models.
  • Apply NLP and text analytics techniques to extract insights from unstructured data, including leveraging large language models (LLMs) for advanced text analysis.
  • Collaborate with cross-functional teams to deliver actionable insights and recommendations based on predictive modeling.
  • Continuously evaluate and refine models to improve their accuracy, scalability, and relevance to business needs.
  • Monitor, evaluate, and enhance the performance of marketing dashboards and reports to ensure they meet business requirements.
  • Engage in hands-on projects, applying cutting-edge technologies and methodologies to solve complex data challenges.

What You’ll Need to Be Considered:

  • Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field.
  • Minimum 1 year of experience in machine learning, predictive modeling, or a closely related area, with a strong portfolio of hands-on project experience.
  • Proficiency in Python and SQL, with a focus on developing machine learning algorithms and integrating data from diverse sources.
  • Experience with data visualization, particularly using Power BI, Looker Studio, Tableau, or other BI platforms.
  • Experience with NLP, text analytics, and working with large language models (LLMs).
  • Strong problem-solving skills and the ability to work with complex datasets to extract meaningful insights.
  • Excellent communication skills, with the ability to translate technical concepts into actionable business strategies.

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