• Design, build, and maintain robust data pipelines that ingest player, game, and marketing data from databases, event streams, and external APIs. • Develop, evaluate, and deploy machine learning models for use cases such as LTV prediction, churn forecasting, player segmentation, and marketing optimization. • Build and optimize analytical datasets and feature pipelines that support modeling, experimentation, and reporting. • Partner with Product, Game Design, Marketing, and Analytics teams to frame business questions, define success metrics, and deliver actionable insights. • Ensure data quality, reliability, and reproducibility through testing, monitoring, documentation, and version control. • Integrate model outputs into dashboards, reporting tools, or downstream systems to support operational decision-making. • Continuously improve analytical workflows, modeling approaches, and data tooling to increase accuracy, scalability, and efficiency.

• Hands-on design, development, deployment, and maintenance of integration processes between applications using Oracle Integration Cloud (OIC), Dell Boomi, or other data integration/pipelining tools. • Managing, monitoring, sustaining, troubleshooting, and supporting existing integrations using Oracle Integration Cloud, Dell Boomi platform, or other relevant tools. • Develop custom data integration solutions to ingest data from multiple sources (cloud and on-premise) using various data integration/pipelining tools, Oracle Analytics Cloud (OAC), and Oracle Autonomous Data Warehouse (ADW) • Design, build, and test custom data warehouse solutions using platforms such as Oracle NetSuite Analytics Warehouse (NSAW) • Integrate with REST API endpoints, and applications like Netsuite. • Collaborate with cross-functional teams to define and determine data migration and integration requirements. • Establish best practices in services development, integration of applications, and govern detailed designs generated by vendors. • Monitor and report on progress in completing engagements and accomplishing goals. • Interface with internal/external technical experts to drive system solutions. • Translate business requirements into technical specifications. • Proactively address potential and/or current integration challenges to meet or exceed established timelines, deliver services within budget constraints, and seek ways to reduce application-related costs. • Lead product implementation from start to finish, acting as a trusted advisor to stakeholders and end users. • Conduct product training and technical workshops with clients/end users.

• Scope plan and execute projects in close partnership with product management • Establish strong processes and standards for shipping high quality software • Mentor develop and grow the engineering team including hiring • Maintain a high technical bar through hands on coding and code review • Use and promote AI assisted development practices to produce the highest quality software

• Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. • Works to ensure that outputs meet quality standards and project requirements. • Performs validation programming and works with other Programmers, Biostatisticians, and other project team members to resolve discrepancies or any findings. • Keeps project team members informed of programming progress and issues requiring their attention. • Follow applicable SOPs, WIs, and relevant regulatory guidelines (e.g. ICH). • Maintains well organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness. • Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload. • Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. • Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be accepted by peer review and sponsor/requestor with little rework. • Prepares in advance for internal meetings, contributes ideas, and demonstrates respect for opinions of others. • Conducts effective internal meetings (appropriate in format, frequency and attendance).