Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
About the role
- Data Scientist developing and deploying machine learning models to enhance chatbot capabilities at BNY. Analyzing interaction data and collaborating with teams for practical solutions.
Responsibilities
- Develop and communicate insights leveraging the scientific method, specializing in model science, feature science, and insight science capabilities.
- Design, develop, and deploy machine learning models to improve chatbot understanding, response accuracy, and user engagement.
- Analyze large volumes of chatbot interaction data to identify patterns, trends, and opportunities for optimization.
- Collaborate with cross-functional teams to translate data insights into practical solutions and product enhancements.
- Continuously evaluate and refine models to ensure robustness, scalability, and alignment with business goals.
- Stay current with emerging AI, NLP, and data mining techniques to innovate chatbot capabilities.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Supervise and guide junior team members, provide training in technical tools and business applications, and contribute to team objectives.
Requirements
- Bachelor’s degree in STEM or equivalent work experience; experience in related fields preferred.
- 3-5 years of related experience, preferably in the securities or financial services industry.
- Proven experience in building and deploying machine learning models, preferably in NLP and chatbot domains.
- Strong programming skills in Python, R, or similar languages; familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
- Expertise in data mining, statistical analysis, and visualization tools.
Benefits
- BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy.
- We provide access to flexible global resources and tools for your life’s journey.
- Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
Data Scientist delivering insights for product and operations teams in Customer Support at Etsy. Using behavioral analysis to drive product development and strategy within a collaborative environment.
Data Scientist developing predictive models and enhancing investment strategies with AI at MDOTM. Collaborating in a dynamic research team to drive data - driven insights and innovative solutions.
Lead Data Scientist at Vizient developing automated analytics and advanced data science solutions. Collaborating with teams to improve clinical, operational, and economic outcomes.
Data Scientist developing analytic solutions and analyzing healthcare datasets for client decision - making. Collaborating with teams to build scalable analytics products and communicate insights.
Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
Solution Analyst / Data Scientist at Analytic Partners utilizing advanced data analysis and AI solutions for marketing performance in a hybrid work environment.
Lead Data Scientist building core AI systems for OpenExpert.AI, an AI operations platform in the energy sector. Collaborating across teams to design, deploy, and scale AI systems in high - stakes environments.
Senior Marketing Data Scientist leading advanced analytics initiatives for biBerk, enhancing marketing ROI and optimizing campaign performance. Collaborate with the Marketing team to drive effective investment decisions.