As a Data Scientist, you will work with highly complex structured and unstructured datasets. Yes, we are talking terabytes. You will build Statistical, Machine Learning, and/or Deep Learning models to create solutions, improve operation, understand & interpret the data and be a building member of our SNS platform Yay!. Responsibilities: - Collaborate with the product and engineering teams to define and design the recommendation engine's architecture and algorithms - Analyze user data to understand user behavior and preferences, enabling the development of personalized content recommendations - Utilize statistical and machine learning techniques to analyze large datasets and derive actionable insights - Conduct A/B testing to evaluate the effectiveness of recommendation algorithms and continuously refine the models - Develop and implement machine learning models for content recommendation, personalized user experiences, and targeted content delivery - Evaluate model performance and make data-driven adjustments to improve accuracy and relevance - Prepare and preprocess raw data to ensure its suitability for analysis and modeling purposes - Identify and address data quality issues to maintain the integrity of the recommendation engine - Take a proactive approach in working closely with cross-functional teams, including (but not limited to) product managers, engineers, and designers, to align on data requirements and deliverables - Communicate findings and insights effectively to technical and non-technical stakeholders - Stay abreast of industry trends and advancements to propose innovative approaches and solutions - Build state-of-the-art Deep Learning models to tackle Computer Vision and NLP problems Job requirements 3+ years experience in data science: data visualization, regression, clustering and classification w/Python