analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell … the story and let the data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. Minimum Requirements: 3+ years of analyzing and interpreting data with Redshift, Oracle … NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in StatisticalAnalysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience More ❯
will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives. Key job responsibilities • Use statisticalanalysis, machine learning and LLM techniques to create scalable solutions for business problems • Analyze and extract relevant information from large amounts of both … experiment and evaluate highly innovative models for regression and classification challenges • Maintain, evaluate and improve existing models • Research and implement novel machine learning and statistical approaches • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation together with software engineering teams BASIC More ❯
will provide the science leadership for automatic moderation detections that reduce customer frustration in the screening and remediation of creatives. Key job responsibilities • Use statisticalanalysis, machine learning and LLM techniques to create scalable solutions for business problems • Analyze and extract relevant information from large amounts of both … experiment and evaluate highly innovative models for regression and classification challenges • Maintain, evaluate and improve existing models • Research and implement novel machine learning and statistical approaches • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation together with software engineering teams BASIC More ❯
the quality assessment of the large and varied market data sets used the production of these services. This will often involve the ad-hoc analysis and sourcing of market data and the challenging/querying of suspect market data used in our services with various data providers. The role … to demonstrate pro-active drive, customer focus and a desire to go the extra mile. Desirable Skills: Knowledge of financial mathematics and quantitative/statistical analysis. Knowledge of database management systems and Python/SQL query construction. Basic knowledge of software programming. Basic understanding of service management best practice More ❯
