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Data Scientist
1 month ago
Job Title: Senior Data Scientist
Location: Bangalore
Job Type: Full-time
Job Summary:
As a Senior Data Scientist, you will lead the development and optimization of advanced analytics tools, with a focus on media intelligence solutions. Your work will involve analyzing large data sets from various media channels, designing algorithms to track trends, and providing actionable insights. We are looking for someone with a strong background in building media analytics or intelligence tools, combined with excellent problem-solving skills and a passion for innovation.
Key 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.
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.
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.
