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
- Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Responsibilities
- Independently scope, execute and lead small scale projects
- Independently execute for more complex projects
- Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements
- Extract, clean and design large and complex datasets to support analysis and product deliveries
- Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes
- Assist in creation of crime data vectorization, similarity measures, and clustering
- Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools
- Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders
- Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.
Requirements
- Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience
- Or a Master’s Degree in related field and 5+ years of relevant work experience
- Proficient user of Python, SQL, Pandas, and NumPy
- Competent user of Java
- Demonstrates proficiencies in Data Science and Machine Learning frameworks
- Experience with Generative AI, OpenAI, Copilot, and Claude
- Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features
- Strong documentation, written and verbal communication skills
- Strong interpersonal skills
- Organized with the ability to handle multiple concurrent activities
- Self-starter and eager to learn
- Demonstrates leadership within small teams
- Detail oriented and critical thinker with strong analytical thinking skills.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Annual incentive bonus
Job title
Job type
Experience level
Salary
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.