Data Science Analyst _Audience Analytics

3 - 8 years

5 - 15 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Develop and implement AI/ML models to solve complex problems in the media space (e.g., content tagging, recommendation engines, audience segmentation).
  • Use NLP techniques to process, analyze, and derive insights from unstructured text, subtitles, social media content, etc.
  • Analyze large datasets from media platforms to extract meaningful patterns and trends.
  • Work closely with data engineers and business stakeholders to translate business problems into analytical solutions.
  • Build, test, and deploy predictive models and algorithms using Python.
  • Perform model evaluation, validation, and tuning to improve performance.
  • Present insights and results through compelling visualizations and storytelling.

Key Skills:

  • Programming:

    Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
  • Machine Learning:

    Strong understanding of supervised and unsupervised ML techniques.
  • NLP:

    Experience with NLP libraries like SpaCy, NLTK, HuggingFace, Transformers, etc.
  • AI:

    Understanding of deep learning models and their applications in text/audio/image data.
  • Data Handling:

    Experience working with large, unstructured datasets.
  • Media Domain Knowledge (Preferred):

    Exposure to content analysis, ad targeting, viewer analytics, or similar.

Good to Have:

  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Knowledge of Big Data tools (Spark, Hadoop) is a plus.
  • Experience with SQL and data visualization tools (Tableau, Power BI).

Qualifications:

  • Bachelors or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • Relevant certifications in AI/ML or Data Science are a plus.

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