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
At Alpha Anywhere, students complete a full day's curriculum in two intensive hours, freeing their afternoons for podcasts, murals, or gymnastics. The 2-Hour Learning model makes this possible—and you will maintain its precision while engineering its next evolution.
From any location with reliable internet, you will convert massive volumes of AI-generated performance metrics into precise, timely actions that drive every learner toward 90% mastery and higher. When obstacles arise, you will join live coaching sessions, remove roadblocks in the moment, and restore student momentum with renewed confidence. At the same time, you will analyze deep currents of student performance data, identifying concealed patterns that release children's capabilities and building next-generation AI tools that may double learning velocity.
Parents observe rising self-assurance, students accelerate their learning pace, and you witness the measurable impact of every insight you generate, every AI process you streamline, and every question you pose. Ready to convert data into acceleration for young learners? Continue reading.
What you will be doing
- Constructing highly accurate Academic Data Reports and performing systematic analysis to identify issues, highlight anomalies, and initiate corrections within 48 hours
- Conducting rapid-response coaching calls and post-assessment support sessions to clear 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
What you will NOT be doing
- Attending marathon meetings or delivering generic presentations with no visibility into tangible results
- Grading assignments, creating lesson plans, or administering traditional educational programs—AI and innovation power our work
- Working in abstract strategy without execution or being confined to repetitive tasks—this role is hands-on and fluid
Key responsibilities
Accelerate 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 patterns across the Alpha Anywhere network.
Candidate requirements
- Proven experience in data science or related role, education, EdTech, or a student-support position combining analytical and interpersonal dimensions
- Competency in Google Sheets data analysis (lookups, pivot tables, filtering)
- High emotional intelligence, excellent communication abilities and a kid-friendly coaching approach
- Hands-on experience creating workflows and automations with AI
Nice to have
- Foundation in learning science, educational principles, or proven success enhancing outcomes through data-driven strategies
- Familiarity with Generative AI, prompting techniques, and basic coding skills (Python, JavaScript, etc.) for querying 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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