• Lead a team of Data Services professionals tasked with architecting, developing, and managing our Cloud Analytics Data Platform • Build a modern cloud data stack consisting of Data Lake, Pipelines for ingesting and processing batch and event data, Data warehouses and data linage and cataloging. • Implementation of system improvements and new technologies aimed at data storage, profiling, processing, management, security, and integration into business applications • Understanding of existing business applications to support information and solution architecture • Facilitate the establishment of change management processes to govern data input and maintenance, data stewardship and access control • Work with key stakeholders across the business to develop and manage key master data business processes, ensuring that we collect and maintain accurate information • Develop and own process for evaluating and auditing data quality (establish data quality KPIs, etc.) and providing direction to the business for improvement • Continuously look for data optimization processes and oversee data management, governance, security, and analysis • Maintaining a solid understanding of workflows, data dependencies and translating business, data, and reporting requirements into logical data structures • Hire the best talents, identify the potential of each team member, and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions • Ensure test-driven products/pipelines that are easily maintainable and reusable • Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources

• Design, build, and deploy AI/ML models for diverse business applications, emphasizing privacy and compliance. • Partner with data engineers and AI/ML engineers to develop robust, trustworthy data pipelines and ensure reliable model deployment. • Implement privacy-first analytics techniques, supporting data sovereignty and regulatory compliance. • Scale analyses of large, complex datasets to extract meaningful insights and identify actionable opportunities. • Collaborate with stakeholders to scope projects and communicate key findings. • Monitor, evaluate, and improve the performance and explainability of AI solutions. • Develop and maintain clear documentation, experiment logs, and analytic artifacts.

Role Description We are hiring a D1 Basketball Youth Mentor to work one-on-one with a student-athlete over video, splitting your time evenly between academic guidance and sports mentorship. You are the steady adult in their day: sitting with them through their academic hours, holding the standard on focus and effort, and then using your Division I basketball experience to shape how they think about training, competition, and the life of a student-athlete. - Guide Students Through Their Academic Day: Meet with your students over video during their academic hours, keep them focused and on task, and help them move through their learning at pace. - Mentor Them as an Athlete: Use your Division I basketball background to talk with them about the mental game, training habits, what real recruiting looks like, and how to balance school with serious sport. - Build a Real Relationship: Be the steady, credible adult they look to for guidance, accountability, and honest feedback across both school and sport. - Support Their Learning: Help them navigate the learning platform, work through hard material, and build the study and time-management habits that carry them forward. - Reinforce Standards: Hold the line on effort, focus, and how they carry themselves. Give direct feedback when it is needed and give real praise when it is earned. - Communicate With Parents and Staff: Give parents and the academy clear, honest updates on how the student is doing academically, how they are showing up as an athlete, and what they need next. Qualifications - Division I Basketball Background: You competed in basketball at the Division I level. Your athletic experience is central to how you mentor, not a footnote on your resume. - Real Experience Working With Kids: You have worked with young people in a role where you were responsible for their focus, growth, or development. Coaching, tutoring, mentoring, camp counseling, teaching, or similar hands-on work. - Judgment With Young Athletes: You know how to earn trust with a kid, hold the standard, give direct feedback, and read the room when something is off. - Strong Communicator: You are clear and steady on video, comfortable running a one-on-one session, and able to give parents and staff useful updates in writing. - Reliable and Organized: You show up on time, follow through, and keep track of what your student needs next. - Location and Setup: Remote (U.S.). Reliable internet and a quiet space you can run video sessions from. Bonus Points - Recent Graduate: You finished your college athletic career in the last few years and the student-athlete experience is fresh. - Coaching or Camp Experience: You have coached youth basketball, run a camp, or worked with kids in a structured athletic setting. - Teaching or Tutoring Background: You have taught, tutored, or led a classroom before. - Comfortable With Modern Tools: You are comfortable working across video, learning platforms, and messaging tools without much ramp-up. Pay $25/hour

• Lead and mentor a team of data scientists on performance, growth, production, and day-to-day responsibilities • Partner across business and technology organizations to align on priorities, influence strategy, and execute against a shared vision • Query, analyze, and summarize large and complex datasets to drive business strategy and decision-making • Apply statistical analysis, machine learning, and predictive modeling techniques to solve business problems • Support the development and scaling of internal and user-facing data products • Work with team members and stakeholders to translate business processes and challenges tractable data science problems • Monitor the performance of implemented solutions and conduct recurring evaluations to identify opportunities for improvement • Generate simulations, experiments, and what-if analyses to support strategic decision-making • Pull and create reports necessary to support the team and senior leadership in tracking strategic goals and outcomes • Communicate effectively with both technical and non-technical audiences, translating complex concepts into actionable insights • Help shape and evolve best practices, standards, and processes across the Data Science organization • Communicate and embody the culture and mission of the company