OVERALL FUNCTION

• We are seeking a Senior Data Scientist to lead the development and implementation of data-driven and AI-powered solutions across Miva’s digital learning ecosystem.
• You will work at the intersection of machine learning, generative AI, and educational data science to drive innovation, shape intelligent learning experiences, and improve operational and learner outcomes.
• This role requires both technical excellence and strategic vision, as you collaborate across engineering, product, and curriculum teams to transform ideas into impactful, scalable features—such as personalized recommendations, intelligent tutoring systems, and adaptive assessments.

KEY RESPONSIBILITIES

• Design, build, and deploy machine learning models and statistical algorithms to support key features such as personalized learning, intelligent content recommendations, and learner performance prediction.
• Lead end-to-end delivery of AI-enabled capabilities including chatbots, intelligent tutors, and generative feedback tools.
• Collaborate with engineering teams to build and optimize data pipelines and ML workflows, ensuring production-grade reliability and real-time responsiveness.
• Support prompt engineering and optimization for generative AI systems (e.g.,
• LLM-powered tutors and content creators), enhancing contextual accuracy and instructional relevance.
• Translate product, content, and pedagogy requirements into data science strategies that align with learner needs and business goals.
• Conduct exploratory data analysis EDA and deep-dive investigations to surface insights that drive product decisions, learner support, and growth strategies.
• Develop A/B testing frameworks and impact measurement models for evaluating interventions and features across the platform.
• Lead evaluation and integration of cutting-edge AI/ML techniques, including LLMs, transformers, and generative models, into core learning products.
• Define and champion best practices in reproducible science, ethical AI, and responsible experimentation.
• Mentor junior data scientists and help foster a high-performing, collaborative, and innovative data science culture.
• Communicate insights and results effectively to diverse stakeholders using visual storytelling, dashboards, and reports.
• Maintain comprehensive documentation of model development, deployment decisions, and experimental findings.
• Contribute to the establishment of data governance standards, including data quality, lineage tracking, and privacy safeguards.
• Monitor model performance post-deployment, detect drift, and iterate to improve accuracy, fairness, and learner impact.
• Stay informed on AI and edtech trends, academic research, and practical advancements to inform Miva’s innovation roadmap.

QUALIFICATIONS AND SKILLS

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (PhD is a plus).
• 6 – 10 years of experience in data science, machine learning, or applied AI—ideally within edtech, SaaS, or consumer digital platforms.
• Deep experience with Python, R, and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
• Demonstrated experience deploying ML models into production environments on cloud platforms AWS, GCP, or Azure).
• Proficient in SQL and adept at working with large-scale datasets across structured and unstructured data sources.
• Strong understanding of experimental design, statistical modeling, and causal inference.
• Skilled in working with LLMs, embedding models, and generative AI frameworks, with a strong grasp of their potential in learning personalization and content generation.
• Experience with prompt engineering, fine-tuning, and performance optimization for LLM-based tools is highly desirable.
• Proven leadership in complex data science initiatives, with the ability to mentor team members and manage cross-functional collaborations.
• Strong communication, data storytelling, and stakeholder engagement skills.
• Familiarity with data visualization tools such as Tableau, Power BI, or Plotly.
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OVERALL FUNCTION

• We are seeking a Senior Solutions Architect to define and drive the strategic direction of Miva’s AI-powered educational technology ecosystem.
• You will lead the design, evaluation, and implementation of scalable, secure, and future-ready architectures that enhance digital learning experiences and support enterprise-level AI adoption.
• In this role, you will collaborate with cross-functional teams, mentor junior architects, and provide strategic guidance across infrastructure, AI integration, and digital content delivery.
• The ideal candidate brings deep technical expertise in cloud-native platforms, AI systems design, API ecosystems, and emerging edtech technologies, along with strong leadership and business acumen.

KEY RESPONSIBILITIES

• Define and execute Miva’s enterprise architecture strategy for AI-enabled edtech solutions, aligning it with long-term product and learning goals.
• Evaluate and select AI platforms, large language models LLMs), embedding stores (e.g.,
• FAISS, Pinecone, Weaviate), and vector databases that optimize personalized learning, search, and content generation.
• Architect and manage API orchestration layers to enable seamless integration of third-party AI tools, internal services, and generative content engines.
• Establish technical guidelines for model evaluation, A/B testing, monitoring, and observability frameworks to assess performance, drift, and fairness.
• Lead design and implementation of cloud-native, scalable infrastructure for real-time inference, data transformation, and multimodal content delivery.
• Collaborate with executive leadership to advise on the strategic adoption and lifecycle planning of AI/ML technologies.
• Drive the roadmap for generative AI applications, including autonomous content generation, chatbot tutors, semantic search, and intelligent feedback systems.
• Partner with research and development to explore, prototype, and validate emerging technologies, translating innovation into practical impact.
• Develop and enforce architecture standards, design patterns, and technology governance frameworks across platforms.
• Define best practices for DevOps, including CI/CD pipelines, containerization, infrastructure-as-code, and monitoring for AI-based systems.
• Ensure that all architectures meet regulatory, privacy, and security compliance (e.g.,
• GDPR, COPPA across the digital education landscape.
• Collaborate with curriculum, content, and engineering teams to ensure architectural alignment with instructional design and learner needs.
• Serve as a technical advisor to Miva’s publishing arm (Equator) to support the development of simulations, case studies, and immersive learning assets.
• Manage relationships with external vendors, AI service providers, and technology partners to evaluate and negotiate solutions.
• Oversee the design and execution of proof-of-concepts (PoCs) and MVPs for next-generation learning technologies.
• Promote knowledge sharing through internal documentation, architecture reviews, workshops, and communities of practice.
• Define and track KPIs and metrics to measure solution impact, model efficiency, and user engagement across systems.
• Drive architectural cost optimization while ensuring long-term performance, resilience, and value of deployed technologies.

QUALIFICATIONS AND SKILLS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6–10 years of experience in software or solutions architecture, with at least 3 years in a senior or leadership capacity.
• Deep expertise in AI/ML systems, including model deployment, inference optimization, and orchestration.
• Proven track record with cloud platforms AWS, Azure, or GCP, microservices architecture, and serverless computing.
• Familiarity with vector databases, prompt chaining, and embedding workflows in the context of LLM-based applications.
• Experience evaluating and implementing AI tools like LangChain, Hugging Face, OpenAI APIs, or Vertex AI.
• Strong grasp of data governance, compliance frameworks, and security protocols in educational or digital environments.
• Demonstrated success leading cross-functional teams and aligning technical vision with organizational goals.
• Excellent written and verbal communication skills with the ability to influence both executive and engineering stakeholders.