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
Consider the model: Children complete a full academic day in two concentrated hours, then spend afternoons launching podcasts, painting murals, or mastering back-handsprings. This is the 2-Hour Learning system that drives Alpha Anywhere—and you are the architect who sustains its performance while building its next evolution.
From any location with reliable internet, you'll convert massive volumes of AI-generated performance metrics into precise, actionable interventions that guide every student toward 90% mastery and higher. When learners encounter obstacles, you'll join live coaching sessions, eliminate the barrier in the moment, and restore their momentum with renewed clarity. At the same time, you'll analyze deep currents of student achievement data, identifying concealed patterns that release children's complete capabilities, and engineering next-generation AI systems that may double learning velocity.
Families observe rising self-confidence, learners accelerate their progress twofold, and you witness the immediate effect of every analysis you produce, every AI process you streamline, and every inquiry you pose. Prepared to convert data into propulsion for developing minds? Continue below.
What you will be doing
- Constructing highly precise Academic Data Reports and executing methodical analysis to identify problems, highlight irregularities, and initiate corrections within 48 hours
- Facilitating urgent-response "rescue" sessions and delivering post-assessment coaching consultations to eliminate obstacles, distinguish knowledge deficits from mistakes, and sustain student engagement
- Assessing and deploying new educational applications and materials while creating AI/LLM prototypes to advance learning methodologies and address particular obstacles
- Coordinating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor advances
What you will NOT be doing
- Attending interminable meetings or delivering generic presentation decks with no clear connection to tangible results
- Grading assignments, developing lesson plans, or administering traditional educational programs—AI and innovation power our operations
- Working in abstract strategy without execution or becoming trapped in repetitive tasks—this position is practical and fluid
Key responsibilities
Advance improved student learning results through AI-powered analysis and real-time academic intelligence, evidenced by enhanced metrics such as 2× learning velocity, app engagement, lesson comprehension, response accuracy, and diminished negative learning patterns throughout the Alpha Anywhere network.
Candidate requirements
- Proven capability working in data science or comparable role, education, EdTech, or a student-support position 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
- At least 1 year experience working closely with K-8 students
- Available to work during required core hours of 8:00 AM to 12:00 PM Central Time, Monday through Friday.
Nice to have
- Foundation in learning science, educational principles, or proven success enhancing outcomes through data-driven strategies
- Experience 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.
Pass
proctored test.
Accept job offer.
Frequently asked questions
About the role
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.