Collaborate with the Product, Engineering, and Security Operations teams to meet business needs in data science, AI, ML, data quality, data management, business intelligence, and reporting.
Work closely with stakeholders to establish the data health data pipelines and build analytics and dashboards for visualization.
Engage in AI/ML research to investigate avenues for enhancing model performance and fostering a positive impact on the business.
Conveying findings to partners, senior management, and diverse model committees.
Prepare and cleanse datasets for modeling while actively participating in the ETL (Extract, Transform, Load) process when necessary.
Qualifications
Minimum 1-2 years of experience in data analytics/ data science
Strong programming skills in Python and building SQL queries
Basic understanding of REST APIs and data pipelines
Hands-on experience with Tableau or other visualization tools
Excellent written and verbal communication skills
Good organizational skills, attention to detail, accuracy, and a high degree of initiative
