• Exploratory analysis to vet pricing test ideas and concepts • Understand, propose, and develop new hypotheses within Gametime’s pricing infrastructure • Building dashboarding/reporting relating to pricing initiatives • Developing novel statistical models to assist in exercises, such as price elasticity and demand forecasting • Managing data integrity of internal and external data processes • Attending virtual project walkthroughs and workshops

• Support our security analysts by continuously improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI. • Work across our operations, engineering and service delivery teams, ensuring Expel can easily deploy, monitor, and manage all of our machine learning capabilities. • Drive business decisions by translating data insights into clear, actionable knowledge for the organization. • Foster an atmosphere of experimentation, continuous learning, and improvement. • Maintain and enhance our existing models while supporting new data science initiatives. • Contribute to Expel’s external voice through blog posts and conference speaking.

• Work with other teams across CoreTrust to develop key metrics to achieve business outcomes. • Work cross functionally to translate business problems into solutions that can be solved and informed by data and automated with AI Agents. • Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business. • Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map. • Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution. • Utilize tools like SQL, Python, LLMs and platforms like Azure AI Foundry or Amazon Bedrock to execute analysis and create AI applications. • Track and monitor projects in JIRA. • Design, implement, and maintain analytics, models and LLM-driven scripts/software. • Work with stakeholders across the organization to understand requirements and generate actionable insights. • Work as part of a team to maintain a high-quality data lake house. • Serve as a subject matter expert on machine learning, AI agents, and statistics. • Be part of the Data Science Team to share ideas and best practices. • Create dashboards and reports to clearly and concisely communicate results and insights.

• As a business-savvy data product leader you will translate business strategy into data platform capabilities that drive revenue growth and operational efficiency. • You'll combine strong product thinking and business acumen with strategic engineering leadership, setting direction for our India-based team while ensuring data products deliver measurable business outcomes. • You'll spend most of your time understanding business needs, defining product vision, prioritizing roadmaps based on business impact, and partnering with executives across Product, Sales, Marketing, Finance, and Customer Success. • You'll also provide strategic technical direction and develop your engineering leaders, maintaining accountability for delivery excellence, and platform reliability. • You'll lead the transformation of our data platform to power product-led growth, e-commerce optimization, and overall enterprise level analytics at scale. • Your data products will enable customer 360, experimentation, personalization, and intelligent engagement across our 800,000+ customers—driving the analytics, AI, and machine learning initiatives that fuel our business. • You'll directly manage Senior Managers in India who lead our ~30-person engineering, data science, and analytics organizations. While they own day-to-day technical execution, you own the overall product strategy, platform outcomes, stakeholder alignment, and their professional development as leaders. • You will also lead a small, distributed product management team partnered with these engineering teams.