Senior Data Scientist
Core
Build and deploy production-grade AI/ML solutions to reduce service outages, improve user experience, and save costs by exploring and operationalizing big data sources.
Role type
Senior full-stack Data Scientist (AI/ML & GenAI)
Builds
Production ML models, predictive data models, anomaly detection systems, and semantic data capabilities for enterprise-scale use cases.
Domain
Financial Services / Big Data / Machine Learning
Deliverable
production ML models
Required skills
Statistics, Machine Learning, Deep Learning, Python, PySpark, SQL, Data Modeling, Simulation, Advanced Mathematics, Graph Data Modeling, NLP, Text Mining, API Integration, Cloud Platforms (Azure/AWS), Data Visualization
Preferred skills
GenAI LLM models, Reinforcement Learning, MLOps, AIOps, IT Operation Monitoring Tools
Technologies
PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers, Neo4j, Amazon Neptune, TigerGraph, RDF/OWL, GIT, Tableau, Looker, Power BI, Dynatrace, Moog, GEM, Pager Duty
Responsibilities
Lead full life-cycle Data Science solutions from development to deployment and monitoring; Apply statistical analysis and advanced mathematics to identify patterns and business opportunities; Build ML and Deep Learning models to solve specific business problems; Develop predictive models and anomaly detection systems; Lead data exploration projects and provide coaching on big data topics; Oversee data acquisition and ingestion from structured and unstructured sources; Utilize APIs to collect data into the Data Warehouse.
Seniority
Senior, hands-on IC
