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Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy predictive models and AI/ML analytics products to directly impact customer revenue and ARPU in marketing.
Utilize large data sets with advanced techniques including causal inference, machine learning, deep learning, and cloud technologies (AWS) for business solutions at scale.
Collaborate with cross-functional teams (BI, IT, product) and support AI-driven use case innovation and model deployment on cloud platforms.
Minimum Requirements
2 to 7 years of relevant work experience in data science or related field.
Graduate, Master's, or PhD degree in Statistics, Economics, Engineering, or a quantitative discipline from top-ranked universities.
Certification in Machine Learning, Deep Learning, Artificial Intelligence, Data Science; AWS Cloud certification preferred.
Proficient in Python programming and SQL; hands-on experience with AWS tools (S3, EC2, EMR, Glue, SageMaker, Lambda, DynamoDB, Redshift, QuickSight).
Ideal Candidate Profile
Experienced in building high-performance recommendation and Generative AI systems for customer retention and revenue growth.
Strong background in advanced machine learning, deep learning frameworks (TensorFlow, Keras, etc.), and big data technologies (Hadoop, Spark, Hive).
Skilled at integrating analytics with cloud architecture and deploying production-ready AI/ML models in marketing contexts.