Lead Data Scientist, Learning; Remote

Consider this scenario:
Children complete a full day's academic work in just two highly concentrated hours, then spend their afternoons launching podcasts, painting murals, or perfecting their back-handsprings. This is the 2-Hour Learning model that drives Alpha Anywhere—and you will be the strategist maintaining its performance while pioneering its next evolution.

Operating from any location with reliable Wi-Fi, you will convert massive volumes of AI-generated performance data into precise, timely interventions that guide each learner toward 90% mastery and beyond. When a student encounters an obstacle, you will conduct a live coaching session, eliminate the barrier in real time, and restore their momentum with renewed confidence. At the same time, you will analyze detailed streams of student performance data, identifying concealed patterns that release children’s full potential and engineering next-generation AI solutions capable of doubling learning velocity.

Parents observe rising self-confidence, students double their learning pace, and you witness the immediate impact of every insight you generate, every AI workflow you streamline, and every question you pose. Prepared to convert data into acceleration fuel for young minds? Continue reading.

• Constructing highly precise Academic Data Reports and performing systematic analysis to identify issues, detect anomalies, and initiate corrections within 48 hours
• Conducting rapid-response “rescue” sessions and facilitating post-assessment coaching calls to eliminate blockers, distinguish knowledge gaps from mistakes, and sustain student motivation
• Assessing and deploying new educational applications and content while creating AI/LLM prototypes to advance learning strategies and address specific challenges
• Collaborating with leadership to optimize tools, dashboards, and mastery thresholds as the AI tutor advances

• Attending endless meetings or delivering generic slide presentations with no visibility into actual results
• Grading papers, creating lesson plans, or administering traditional educational programs—AI and innovation power our approach
• Working in high-level strategy without execution or being confined to routine tasks—this position is hands‑on and dynamic

Accelerate student learning outcomes through AI-powered analysis and real-time academic intelligence, evidenced by improved metrics including 2× learning velocity, app engagement, lesson comprehension, response accuracy, and diminished negative learning patterns across the Alpha Anywhere network.

• Proven experience in data science or related position, education, EdTech, or a student-support capacity with both analytical and interpersonal dimensions
• Proficiency in Google Sheets data analysis (lookups, pivot tables, filtering)
• High emotional intelligence, strong communication skills and a kid-friendly coaching style
• Experience building workflows and automations with AI

• Background in learning science, educational principles, or demonstrated success improving outcomes through data-driven strategies
• Experience with Generative AI, prompting techniques, and basic coding skills (Python, JavaScript, etc.) for querying AI APIs

Education is broken, but 2 Hour Learning is proving it doesn’t have to be. They’re tearing down the outdated one-size-fits-all model and replacing it with AI-driven personalized learning that helps kids master academics in just two hours a day.

With students consistently ranking in the top 1-2% nationally and the top 20% achieving an astonishing 6.5x growth, they’re proving that smarter learning is possible. At 2 Hour Learning, it’s talent and performance that matter.

They offer a dynamic, on-campus and remote-friendly environment where innovators, educators, and AI specialists can be a part of fixing a broken school system.

This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly.