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The Analytics Consultant will focus on marketing and campaign management for the consumer lending and cards business, ensuring accurate and timely delivery of campaigns. This role requires project management skills, attention to detail, and strong communication and collaboration abilities.

Principal Data Scientist role focused on optimizing replenishment strategies and resource allocation in the supply chain of Retail and CPG industries. Responsibilities include refactoring optimization algorithms, data analysis, predictive modeling, and collaborating with cross-functional teams.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. Requires 8+ years of industry experience in data engineering, 5+ years of experience in building and deploying large-scale data processing pipelines, strong skills in Python, SQL, and PySpark, and experience with Snowflake Cloud Datawarehouse and DBT.

Lead Data Scientist position at Tiger Analytics, pioneering AI and analytics solutions for Fortune 100 companies. Responsibilities include applying AI expertise, communicating analytics approach, leading analytic approaches, and collaborating with a team of Data Scientists. Requires 8 years of experience, a Bachelor's Degree in Data Science or related field, and strong communication skills. Onsite work in Houston, TX.

Looking for a Project Manager with 5+ years of experience in project management, particularly in consumer card portfolio conversions. Must have strong business consulting, data analysis, and analytical skills. Proficiency in project management tools like JIRA, Smartsheet, Confluence, and MS Office is required.

Seeking an experienced Data Architect to design and implement robust data solutions using Snowflake for Fortune 100 companies. Responsibilities include developing data architecture blueprints, designing data models, collaborating with stakeholders, and optimizing performance. Requires 10+ years of experience, proficiency in SQL and Python, and strong knowledge of Snowflake and data integration concepts.

Building and deploying scalable machine learning models, developing interactive web applications, collaborating with cross-functional teams, providing consulting services for data-driven decisions