Data Scientists to build and deploy ML/AI

Looking for Data Scientists to build and deploy ML/AI solutions that enhance personalization, marketing effectiveness, channel optimization, customer experience, and efficiency

Create models to predict customer behavior (churn, intent, acquisition) for targeted marketing campaigns

Work with ML engineers to deploy models in batch and realtime production, establishing performance monitoring pipelines

Conduct research on new ML/AI techniques, stay current on best practices, and champion innovation

Build strong relationships with stakeholders, translating technical solutions into business strategy

Bachelor s degree (or equivalent work experience) in a quantitative field like Math, Statistics, CS, Engineering

5+ years of relevant data science or ML experience

Hands-on programming skills: Python, SQL, and ML frameworks (e.g., scikit-learn, PyTorch)

Strong quantitative fundamentals: probability, statistics, regression, tree-based models (XGBoost, random forest)

Familiarity with data platforms such as Spark, Hadoop, BigQuery, Snowflake, and cloud platforms like Google Cloud Platform, AWS, or Azure

Experience with streaming ML, real-time pipelines, recommendation and ranking systems

Deep learning, NLP/transformers, Generative AI, conversational AI/chatbots

Exposure to MLOps, containerization (Docker, Kubernetes), CI/CD, model observability

Telecom domain knowledge or experience with network performance analytics