Data Scientist

Overview:

The Data Scientist will be responsible for developing and maintaining advanced recommendation systems, leveraging AI and machine learning technologies to enhance user engagement and optimize content delivery on digital platforms. The role involves analyzing large data sets, building predictive models, and implementing AI-driven solutions for content recommendation, advertising, and personalized user experiences.

Key Responsibility Areas (KRAs):

Recommendation Engine Development:

• Design and implement algorithms for content and advertising recommendations.
• Continuously improve recommendation accuracy and relevancy through collaborative filtering, content-based filtering, and hybrid models.

User Segmentation and Behavioral Analysis:

• Develop models to segment users based on behavior and preferences.
• Utilize behavioral data to enhance content personalization and marketing strategies.

Trend Analysis and Predictive Modeling:

• Analyze user interaction data to identify trends and predict future content popularity.
• Create models to forecast user engagement and content demand.

Sentiment Analysis and NLP:

• Implement NLP techniques to analyze user comments and social media for sentiment and feedback.
• Use insights from sentiment analysis to guide content creation and modification.

AI-Driven Editing and Moderation Tools:

• Create tools to assist in content editing, language improvement, and fact-checking.
• Develop AI solutions for moderating user comments and maintaining community guidelines.

Image Classification and Computer Vision:

• Implement image classification models to categorize and tag visual content.
• Develop computer vision solutions for content analysis, object detection, and scene understanding.

Time Series Forecasting:

• Apply time series analysis techniques to predict trends in user behavior and content performance.
• Develop forecasting models for various business metrics and KPIs.

Chatbots and Conversational AI:

• Design and implement AI-powered chatbots for customer service and user engagement.
• Continuously improve natural language understanding and generation capabilities.

Generative AI Applications:

• Explore and implement cutting-edge generative AI models for various applications, including content creation, text-to-image generation, and language translation.
• Develop strategies to integrate generative AI into existing workflows and products.

Educational Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.

Certifications:

• Certified Data Scientist
• Machine Learning certification
• Certification in AI and Neural Networks

Experience:

• Minimum of 3-5 years of experience in data science, with a specific focus on machine learning and AI.
• Proven track record of developing and deploying recommendation systems.
• Experience in NLP and sentiment analysis.
• Familiarity with media content analytics and digital advertising strategies.

Required Skills:

• Expertise in Python, R, or Java.
• Proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of SQL and NoSQL databases.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Excellent analytical, problem-solving, and communication skills.