Lead Data Scientist $60,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
Imagine a model where children complete a full day of academics in two highly concentrated hours, then spend their afternoons launching podcasts, creating murals, or mastering back-handsprings. This is the 2-Hour Learning framework that drives Alpha Anywhere—and you will be the strategist maintaining its performance while pioneering its evolution.
Operating from any location with reliable internet, you will convert massive volumes of AI-generated performance metrics into precise, actionable interventions that propel each learner toward 90% mastery and beyond. When a student encounters an obstacle, you will engage them in a live coaching session, eliminate the barrier in the moment, and restore their momentum with renewed confidence. At the same time, you will analyze deep streams of student performance information, identifying hidden insights that unlock children's full capabilities and engineering next-generation AI solutions capable of doubling learning velocity.
Parents observe rising self-confidence, students accelerate their learning pace twofold, and you witness the tangible results of every insight you generate, every AI process you streamline, and every inquiry you pose. Prepared to convert data into propulsion for young learners? Continue reading.
What you will be doing
- Creating highly precise Academic Data Reports and performing structured analysis to identify issues, detect anomalies, and initiate corrective action within 48 hours
- Conducting rapid-response intervention calls and facilitating post-assessment coaching to eliminate blockers, distinguish knowledge deficits from mistakes, and sustain student motivation
- Assessing and deploying new educational applications and content while prototyping AI/LLM solutions to advance learning methodologies and address specific obstacles
- Collaborating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor advances
What you will NOT be doing
- Attending endless meetings or delivering generic presentations with no visibility into actual results
- Grading assignments, drafting lesson plans, or administering traditional educational programs—AI and innovation are the foundation of our approach
- Working exclusively in high-level strategy without execution or becoming mired in repetitive tasks—this position is hands-on and fluid
Key responsibilities
Enhance student learning outcomes through AI-powered analysis and real-time academic intelligence, evidenced by improved metrics such as 2× learning velocity, app engagement, lesson comprehension, response accuracy, and diminished negative learning behaviors across the Alpha Anywhere network.
Candidate requirements
- Proven experience in data science or a comparable role, education, EdTech, or a student-support position combining analytical and interpersonal dimensions
- Proficiency with Google Sheets data analysis (lookups, pivot tables, filtering)
- High emotional intelligence, excellent communication abilities, and a kid-friendly coaching approach
- Experience designing workflows and automations using AI
Nice to have
- Foundation in learning science, educational theory, or proven success enhancing outcomes via data-driven approaches
- Familiarity with Generative AI, prompting methods, and foundational coding skills (Python, JavaScript, etc.) for interfacing with AI APIs
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Accept Job Offer.
Pass 
proctored test.
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