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
This role is built for individuals who believe education must operate with greater speed, precision, and accountability.
2 Hour Learning condenses what conventional schools distribute across a full day into concentrated, results-driven learning cycles. This model succeeds only when academic decisions are accurate, timely, and managed from start to finish. Your purpose in this role is exactly that: transform raw student data into actionable insights and deliver direct, trust-based coaching that eliminates obstacles quickly.
You will operate where quantitative analysis meets personal engagement. In one instance, you're examining performance metrics to detect risk signals early and justify placements with solid rationale. In the next, you're working directly with a student, identifying confusion as it happens and guiding them forward before minor issues escalate into meaningful setbacks. This is not a position centered on passive observation or retrospective reporting. You carry accountability for measurable results.
This position suits individuals who want immediate visibility into the impact of their decisions. If you are energized by ownership, enjoy direct student engagement, and value helping children learn twice as efficiently through smarter choices, this environment will align with your strengths.
Apply if you want your contributions to register by week's end, not at semester's close.
What you will be doing
- Examine student performance metrics to generate clear, actionable academic reports that enable timely interventions
- Take full ownership of academic outcomes for a designated student cohort, including placement logic, testing strategy, and follow-through
- Facilitate rapid academic recovery sessions that surface root causes and eliminate learning barriers in the moment
- Lead post-assessment coaching conversations to distinguish genuine knowledge gaps from execution errors and prescribe focused next actions
- Partner with academic leadership and parent support to flag emerging risks and refine operational tools or workflows
What you will NOT be doing
- Producing reports that remain unused or unactioned
- Operating exclusively in back-office roles with zero student contact
- Delegating academic accountability to teachers, tutors, or families
- Delivering standardized tutoring without diagnostic clarity or specific learning objectives
- Allowing weeks to pass before addressing visible student challenges
Key responsibilities
Provide precise, timely academic analysis and direct student interventions that produce measurable acceleration in learning outcomes for your assigned student groups.
Candidate requirements
- Minimum 1 year in a coaching, instructional, or training capacity with documented outcomes or feedback
- Minimum 1 year of sustained, hands-on experience working closely with K–8 students (sporadic tutoring does not meet this threshold)
- Proven background in data science, education, EdTech, or student support roles that integrate analytical and interpersonal responsibilities
- Fluent command of both Ukrainian and English in spoken and written forms
- Advanced proficiency in Google Sheets, including lookups, filters, pivot tables, and charting functions
- High emotional intelligence and the capacity to establish trust rapidly with students and parents
- Documented use of AI to analyze datasets or automate processes with quantifiable efficiency improvements
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
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Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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