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 a learning model where children complete a full academic day in two intensive 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 will be the analyst who maintains its performance while advancing its capabilities.

Operating from anywhere with reliable internet access, you will convert vast streams of AI-generated learning metrics into precise, actionable interventions that guide each student toward 90% mastery and higher. When learners encounter obstacles, you will join live coaching sessions, eliminate barriers in the moment, and restore their momentum with renewed confidence. At the same time, you will analyze comprehensive student performance datasets, identifying concealed trends that reveal children's untapped abilities and engineering next-wave AI tools that may double learning velocity.

Families observe rising self-assurance, learners accelerate their progress twofold, and you witness the tangible effect of every data insight you produce, every AI process you streamline, and every question you pose. Prepared to convert raw data into propulsion for developing intellects? Continue below.

What you will be doing

  • Constructing highly precise Academic Data Reports and performing structured analysis to identify problems, highlight irregularities, and initiate corrective action within 48 hours
  • Leading urgent intervention calls and facilitating post-evaluation coaching to eliminate obstacles, distinguish comprehension deficits from simple mistakes, and sustain student engagement
  • Assessing and deploying new learning applications and curriculum materials while prototyping AI and LLM solutions to advance instructional methods and address targeted problems
  • Collaborating with leadership to optimize tools, reporting interfaces, and proficiency benchmarks as the AI tutoring system advances

What you will NOT be doing

  • Attending marathon meetings or producing generic presentations disconnected from measurable results
  • Scoring assignments, developing curriculum, or administering conventional educational programs—AI and innovation underpin our approach
  • Remaining at the strategic level without execution or being confined to repetitive duties—this position demands direct engagement and adaptability

Key responsibilities

Accelerate student academic achievement through AI-powered analysis and immediate learning intelligence, evidenced by improved indicators such as 2× learning velocity, application interaction, lesson mastery, answer precision, and diminished unproductive learning behaviors throughout the Alpha Anywhere community.

Candidate requirements

  • Proven experience in data science or comparable position, education, EdTech, or a learner-support capacity combining analytical and relational elements
  • Competence in Google Sheets data manipulation (lookups, pivot tables, filtering)
  • Strong emotional intelligence, excellent communication abilities and an approachable coaching demeanor for children
  • Track record creating workflows and automations using AI
  • Minimum 1 year experience working directly with K-8 students
  • Availability to work during mandatory core hours of 8:00 AM to 12:00 PM Central Time, Monday through Friday.

Nice to have

  • Foundation in learning science, pedagogical theory, or proven success enhancing outcomes via data-informed approaches
  • Familiarity with Generative AI, prompt engineering, and foundational coding knowledge (Python, JavaScript, etc.) for interfacing with 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

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Chat-style
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STEP 1

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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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