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 for those who believe education demands faster execution, sharper decision-making, and genuine accountability.
2 Hour Learning compresses a full school day's instruction into concentrated, results-driven learning sessions. Success depends on academic decisions that are accurate, immediate, and owned from start to finish. That is the purpose of this position: transform raw student data into decisive action, combined with direct, trust-based coaching that eliminates obstacles quickly.
You will operate where rigorous analysis meets personal engagement. In one instance, you're evaluating performance metrics to identify at-risk students early and justify placement decisions with sound rationale. In the next, you're working face-to-face with a student, diagnosing misunderstanding on the spot and moving them forward before minor issues escalate into true setbacks. This is not a role where you observe from the sidelines. You own the outcomes.
This position suits those who want immediate proof that their thinking drives results. If you excel with ownership, enjoy working directly with learners, and take satisfaction in helping students achieve twice the progress through smarter decisions, this environment will fit you well.
Apply if you want your contributions to be visible by Friday, not months from now.
What you will be doing
- Evaluate student performance data to generate clear, actionable academic insights that drive timely interventions
- Take full academic ownership for a designated cohort of students, including placement decisions, testing protocols, and follow-up measures
- Deliver fast-turnaround academic rescue sessions that pinpoint root causes and eliminate learning barriers in the moment
- Lead post-assessment coaching to distinguish between conceptual gaps and careless errors, assigning precise next actions
- Partner with academic leadership and parent support to flag emerging risks and refine tools or workflows
What you will NOT be doing
- Producing reports that sit unused on dashboards
- Operating solely in the background with no direct student engagement
- Transferring academic accountability to teachers, tutors, or families
- Delivering generic tutoring without clear diagnostic intent
- Allowing weeks to pass before addressing visible student challenges
Key responsibilities
Provide precise, timely academic analysis and student-facing interventions that demonstrably accelerate learning outcomes for your assigned student groups.
Candidate requirements
- At least 1 year in a coaching, instructional, or training role with a documented outcome or feedback
- At least 1 year of hands-on experience working closely with K–8 students (occasional tutoring does not qualify)
- Demonstrated experience in data science, education, EdTech, or student support roles combining analysis and interpersonal work
- Fluent spoken and written communication in Ukrainian and English
- Strong proficiency in Google Sheets, including lookups, filters, pivot tables, and charts
- High emotional intelligence with the ability to build trust quickly with students and parents
- Proven use of AI to analyze data or automate workflows with measurable efficiency gains
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.
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