Data Scientist – Buzz AI-Powered Marketing System

Location:

Hybrid Position – Office Work with Remote and Work-From-Home Flexibility

Company Description:

Marketing Buzz Agency is developing Buzz, an AI-powered marketing platform designed to revolutionize the digital marketing industry. Buzz leverages advanced data-driven technologies to optimize SEO, PPC, social media strategies, and online reputation management for businesses worldwide.

We are seeking a Data Scientist to join our innovative team and play a crucial role in analyzing data, training AI models, and extracting actionable insights to enhance AI performance and marketing outcomes.


Job Summary:

As a Data Scientist, you will analyze vast datasets to train and optimize AI models for marketing applications. You’ll collaborate with AI engineers, developers, and marketing specialists to improve Buzz’s capabilities, ensuring it delivers valuable insights and superior performance for businesses.


Key Responsibilities:

  • Analyze and preprocess large datasets to ensure quality and relevance for training AI models.
  • Develop, test, and fine-tune machine learning algorithms for marketing-specific applications.
  • Extract actionable insights from data to improve AI performance and marketing strategies.
  • Collaborate with AI engineers to integrate models into the Buzz platform.
  • Perform exploratory data analysis to identify patterns, trends, and opportunities.
  • Monitor AI models post-deployment to ensure performance and accuracy.
  • Research and implement advanced machine learning techniques, such as reinforcement learning and deep learning, to enhance platform capabilities.
  • Design and generate data visualization reports to communicate findings to stakeholders.

Requirements:

  • Experience:
    • 2+ years of experience in data science, machine learning, or related fields.
    • Proven ability to work with large datasets and implement machine learning solutions.
  • Technical Skills:
    • Proficiency in programming languages like Python or R.
    • Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
    • Strong understanding of data preprocessing techniques, feature engineering, and model evaluation.
    • Knowledge of databases (SQL) and big data tools like Spark or Hadoop.
  • Tools and Platforms:
    • Familiarity with cloud platforms like AWS, Google Cloud, or Azure for data storage and AI model deployment.
    • Proficiency in data visualization tools (e.g., Tableau, Power BI, or Matplotlib).
  • Soft Skills:
    • Strong analytical and problem-solving abilities.
    • Effective communication skills to present complex data in a clear and actionable manner.
    • Ability to work collaboratively in a fast-paced, cross-functional environment.

Preferred Qualifications:

  • Experience with natural language processing (NLP) and AI models like ChatGPT.
  • Knowledge of marketing analytics and KPIs such as conversion rates, CTR, and ROAS.
  • Familiarity with A/B testing and experimental design.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Flexible working hours with hybrid office/remote options.
  • Opportunity to work on a groundbreaking AI-powered platform with significant industry impact.
  • Access to advanced tools, datasets, and training resources.
  • A supportive and innovative work environment focused on growth and collaboration.

Why Join Us?

At Marketing Buzz Agency, we value the transformative power of data. As a Data Scientist, you’ll play a critical role in shaping the Buzz platform, turning raw data into actionable insights that redefine the future of marketing. Join us to work on exciting challenges, collaborate with a talented team, and make an impact in the digital marketing world.


How to Apply:
Send your CV, portfolio (if applicable), and a brief cover letter detailing your experience in data science and its application to AI-driven projects .

We look forward to discovering how your expertise can contribute to the success of Buzz!

Apply for this position

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