Data Scientist

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Required Skills And Qualifications

• Proven experience (7+ years) as a Data Scientist, preferably in the media intelligence or analytics tool development domain.
• Strong expertise in machine learning, NLP, and statistical modeling.
• Gen AI technologies usage like ChatGPT, OpenAI, LLM Technologies
• Hands-on experience with media data analysis, including sentiment analysis, keyword analysis, and audience engagement tracking.
• Proficiency in Python, R, and SQL. Familiarity with big data tools such as Hadoop, Spark, Redis, Apache Flink, and cloud platforms (AWS, GCP, Azure).
• Strong understanding of data pipelines and experience with data processing frameworks.
• Ability to work with large, unstructured data sets and develop models that derive actionable insights.
• Excellent problem-solving skills and the ability to deliver solutions in a fast-paced environment.
• Strong communication and presentation skills, with the ability to explain complex data insights to non-technical stakeholders.
• A Master's or PhD in Data Science, Computer Science, Statistics, or a related field.
  

Preferred Skills:

• Experience with media monitoring, social listening, or media analytics platforms.
• Experience in deploying machine learning models in production environments.
• Familiarity with media intelligence tools such as Meltwater, Cision, or similar.
  

Roles & Responsibilities:

• Lead the design and development of analytics platforms and media intelligence tools, transforming large, unstructured data into meaningful insights.
• Develop machine learning models for trend detection, sentiment analysis, keyword extraction, and content recommendation.
• Work with large-scale media data from sources such as social media, news, blogs, and other online platforms.
• Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to deliver end-to-end solutions.
• Implement NLP techniques to analyze and categorize media content from multiple sources.
• Build and optimize data pipelines for efficient data processing, storage, and retrieval.
• Translate business objectives into data-driven solutions and deliver actionable insights to internal teams and clients.
• Mentor and guide junior data scientists, providing support in developing their technical skills and career growth.
• Stay updated on the latest trends in data science, AI, and media intelligence to ensure the tools and platforms remain at the cutting edge.