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 

Worldwide
Hours: 8:00 a.m. to 12:00 p.m. CT
Fully-remote
full-time (40 hrs/week)
Long-term role

Lead Data Scientist   $60,000 USD/year

Description

Imagine this scenario: Students complete a full academic day in two intensely focused hours, then spend their afternoons launching podcasts, creating murals, or mastering back-handsprings. This is the 2-Hour Learning model that drives Alpha Anywhere—and you're the architect who sustains it while shaping its evolution.

From any Wi-Fi-enabled location worldwide, you'll convert massive volumes of AI-generated performance metrics into precise, timely actions that propel each learner toward 90% mastery and higher. When learners encounter obstacles, you'll conduct live coaching sessions, eliminate the barrier immediately, and restore their momentum with renewed confidence. At the same time, you'll analyze comprehensive student performance datasets, identifying concealed patterns that unlock children's complete potential and engineering next-generation AI capabilities that could double learning velocity.

Parents observe rising self-confidence, students accelerate their learning pace twofold, and you witness the measurable effect of every insight you generate, every AI process you streamline, and every question you pose. Prepared to convert data into acceleration fuel for young learners? Continue reading.

What you will be doing

  • Creating highly precise Academic Data Reports and performing systematic evaluation to identify issues, detect anomalies, and initiate corrective action within 48 hours
  • Conducting rapid-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 creating AI/LLM prototypes to advance learning methodologies and address specific obstacles
  • Coordinating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor advances

What you will NOT be doing

  • Participating in lengthy meetings or delivering generic presentations disconnected from tangible results
  • Grading papers, developing lesson plans, or administering traditional educational programs—AI and innovation power our approach
  • Remaining at the strategic level without execution or becoming confined to repetitive tasks—this position is hands-on and fluid

Key responsibilities

Accelerate student learning outcomes through AI-powered analysis and real-time academic intelligence, validated by improved 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 experience in data science or related position, education, EdTech, or a student-support capacity combining analytical and interpersonal elements
  • Competency in Google Sheets data analysis (lookups, pivot tables, filtering)
  • High emotional intelligence, effective communication abilities and a kid-friendly coaching approach
  • Experience creating workflows and automations with AI
  • At least 1 year experience working directly 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 theory, or proven success enhancing outcomes through data-driven approaches
  • Experience with Generative AI, prompting methods, and foundational coding knowledge (Python, JavaScript, etc.) for querying AI APIs

Meet a successful candidate

Julia Smolkina
Julia  |   AI-Driven Learning Strategist
Indonesia

As a single mom navigating life in Georgia (the country), Julia needed more than just a remote job - she needed purpose and flexibility. Dis...

Read Julia's Story

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.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

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