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
Fully-remote
full-time (40 hrs/week)
Flexible schedule
Long-term role

Lead Data Scientist   $60,000 USD/year

Description

Consider a learning model where children complete a full academic day in two concentrated hours, then spend their afternoons launching podcasts, creating murals, or mastering gymnastics. This is the 2-Hour Learning system that drives Alpha Anywhere—and you are the strategist responsible for sustaining and advancing it.

From any location with reliable internet access, you will convert substantial volumes of AI-generated performance data into precise, timely interventions that guide each learner toward 90% mastery and higher. When a student encounters an obstacle, you will join a live coaching session, remove the barrier in the moment, and restore their momentum with renewed confidence. At the same time, you will analyze detailed student performance data streams, identifying latent patterns that reveal children's full capacity and engineering next-generation AI solutions capable of doubling learning velocity.

Parents observe rising self-confidence, students accelerate their learning pace by a factor of two, and you witness the measurable impact of every insight you generate, every AI workflow you streamline, and every question you pose. Prepared to convert data into propulsion for developing minds? Continue below.

What you will be doing

  • Constructing highly accurate Academic Data Reports and performing systematic analysis to identify issues, detect anomalies, and initiate corrections within 48 hours
  • Conducting rapid-response intervention calls and facilitating post-assessment coaching sessions to eliminate blockers, distinguish knowledge gaps from execution errors, and sustain student motivation
  • Assessing and integrating new educational applications and content while creating AI/LLM prototypes to advance learning methodologies and address specific obstacles
  • Collaborating with leadership to optimize tools, dashboards, and mastery benchmarks as the AI tutor platform develops

What you will NOT be doing

  • Attending protracted meetings or delivering generic presentations disconnected from tangible results
  • Grading assignments, drafting lesson plans, or administering traditional educational programs—AI and innovation are the foundation of our approach
  • Remaining at the strategic level without execution or becoming mired in repetitive tasks—this position demands hands-on engagement and adaptability

Key responsibilities

Accelerate student learning outcomes through AI-powered analysis and immediate academic intelligence, evidenced by improved metrics including 2× learning velocity, application engagement, lesson comprehension, response accuracy, and diminished negative learning behaviors throughout 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 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

Nice to have

  • 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

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.

Accept job offer.
STEP 6

Accept job offer.

Pass
proctored test.
STEP 5

Pass
proctored test.

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