
11 - 50 funcionários
Fundada em 2012
📚 Educação
Education
A Khan Academy Türkçe é uma plataforma educacional gratuita que oferece milhares de vídeos didáticos e exercícios interativos em turco. Atua tanto como recurso de aprendizagem individual quanto como ferramenta pedagógica em sala de aula, cobrindo uma ampla gama de áreas, como matemática, ciências, ciência da computação, artes e humanidades. A plataforma atende a todos os níveis de ensino, do fundamental ao superior, e enfatiza a aprendizagem personalizada, com uma vasta biblioteca que continua a crescer à medida que mais conteúdos são traduzidos para o turco. A Khan Academy Türkçe tem como propósito oferecer educação de padrão mundial a qualquer pessoa, em qualquer lugar, sem custos, e é utilizada por milhões de estudantes e professores em toda a Turquia.
🕒 Maio 27
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
Fundada em 2012
📚 Educação
Education
A Khan Academy Türkçe é uma plataforma educacional gratuita que oferece milhares de vídeos didáticos e exercícios interativos em turco. Atua tanto como recurso de aprendizagem individual quanto como ferramenta pedagógica em sala de aula, cobrindo uma ampla gama de áreas, como matemática, ciências, ciência da computação, artes e humanidades. A plataforma atende a todos os níveis de ensino, do fundamental ao superior, e enfatiza a aprendizagem personalizada, com uma vasta biblioteca que continua a crescer à medida que mais conteúdos são traduzidos para o turco. A Khan Academy Türkçe tem como propósito oferecer educação de padrão mundial a qualquer pessoa, em qualquer lugar, sem custos, e é utilizada por milhões de estudantes e professores em toda a Turquia.
• Own the Streamlit-based KPI reporting platform (requirements, maintenance); define and prioritize technical requirements for country-specific secure data enclaves in partnership with implementation teams. • Uphold data governance standards and best practices by establishing and enforcing data integrity protocols (e.g., minimum aggregation levels) and guide teams on responsible use of data insights. • Lead and contribute to special projects that enhance support models, deepen partner enablement, and advance global scalability. • Serve as the primary liaison between Khan Academy HQ and country teams on analytics planning, reporting guides, analytics training resources, timelines, and deliverables. Ultimately, part of your role is crucial in building long-term data fluency within country teams. • Foster and facilitate a community of analysts across country teams, creating opportunities for shared learning, peer support, and the spread of best practices.
• Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.” • 7+ years of experience across data strategy, analytics, and business intelligence, — ideally within an edtech, nonprofit, or international context. • Expertise in SQL, python, Google Sheets, and data visualization tools (e.g., Looker, Tableau). • Familiarity with education data systems and a strong grasp of common education metrics (e.g., usage, dosage, assessment outcomes). • Proven ability to work cross-functionally with engineers, product teams, and educators. • Strong project management and organizational skills, with the ability to juggle multiple workflows in a fast-paced environment. • Excellent written and verbal communication skills, with a talent for translating technical concepts for non-technical audiences. • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization. • Comfort with ambiguity and a bias toward action; you enjoy building and iterating in evolving contexts. • Experience working interculturally and across time zones, with the flexibility to support global teams. • A collaborative and entrepreneurial mindset, eager to contribute and coordinate effectively with diverse partners.
• Competitive salaries • Ample paid time off as needed – Your well-being is a priority • 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost • Remote-first culture - that caters to your time zone, with open flexibility as needed, at times • Generous parental leave • An exceptional team that trusts you and gives you the freedom to do your best • The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education • Opportunities to connect through affinity, ally, and social groups • And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life
Candidatar-se🕒 Maio 26
Senior Data Scientist designing and building AI-enabled products using clinical trial data at eClinical Solutions. Collaborating with business clients and engineering teams for impactful solutions.
🇺🇸 Estados Unidos – Remoto (EUA)
💰 Private Equity Round em 2020-01
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
📊 Cientista de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Maio 26
Analytics Lead, Full Stack leveraging advanced data analytics to inform credit strategies at Affirm. Collaborating with cross-functional teams to optimize risk management across various products and regions.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $160.000 - $230.000 / ano
💰 Post-IPO Equity em 2021-01
⏰ Tempo Integral
🟠 Sênior
📊 Cientista de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Maio 26
Senior People Data Scientist at Instacart analyzing employee data for strategic HR initiatives. Enhancing enterprise people analytics agenda through complex analytical workstreams and partnerships.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $161.000 - $204.500 / ano
💰 $232.000.000 Venture Round em 2021-11
⏰ Tempo Integral
🟠 Sênior
📊 Cientista de Dados
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Maio 26
Senior Data Scientist developing scalable GenAI solutions for Fortune 500 clients at analytics consulting firm. Leading projects, mentoring teams, and delivering end-to-end analytics solutions.
🗣️🇺🇸🇬🇧 Inglês obrigatório
🕒 Maio 26
Senior Data Scientist at Customer.io analyzing customer and product data to influence product and business decisions. Collaborate with teams to design experiments, build models, and improve customer experience.
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $140.000 - $150.000 / ano
💰 Series A em 2022-03
⏰ Tempo Integral
🟠 Sênior
📊 Cientista de Dados
🗣️🇺🇸🇬🇧 Inglês obrigatório