Lead Data Scientist

Who We Are Looking ForAsa Lead Data Scientistinour AI pipelineteamyou will buildpipelinethatidentifiesand alerts customers toemergingrisks. This role focuses on designing and deploying advanced data pipelines that combine unstructured data with structured data. You willmaintainand enhance models that detect and highlight potential risks enabling proactive decision-making for our the Lead Data Scientist you will set the vision for our data science initiatives lead a team of data scientists and collaborate closely with engineering and product teams to build scalable high-impact solutions. You will ensure the quality accuracy and interpretability of our risk detection models while driving innovation in natural language processing geospatial analysis and event detection in a fast-paced mission-critical You Will Work OnManage LLM production in AWS Bedrock and OpenAI including deployment scaling monitoring and cost hands-on coding and development data scientists review code and enforce best business goals into model KPIs and measurable resources and plan data science strategy for analytics and data science with leadership and product teams on data-driven end-to-end data science projects from design to insights to both technical and non-technical innovation and process improvement through data andvalidate analytical models using diverse compliance with data privacy security and ethical LLM solutions into enterprise workflows with reliability and You Will BringMasters or Ph.D. in Computer Science Statistics Mathematics Engineering Data Science or a related quantitative field.8 years of experience in data science machine learning or advanced analytics with a proventrack recordof successful project delivery and in statistical modeling ML deep learning data/text mining and Gen AI in Python and SQL; experienced with large-scale real-time in AWS and MLOps tools for model deployment and experience building and deploying production-grade ML knowledge of data visualization tools and critical thinking and creative problem-solving to ethical data science and data privacy Skills:Expertise inadvanced NLP and text analytics including entity recognition event detection and multilingual with information retrieval and web data miningleveraging large-scale scraping search relevance and vector with knowledge graphs and relationship modeling to enhance risk intelligence and entity understanding ofMLOps and scalable ML systems using tools like Airflow Docker/Kubernetes and cloud ML leadership and communication skills with the ability to mentor teams and translate analytical outputs into business insights.