NNIIT - Chief Data Scientist

Role : Chief Data Scientist / CTO Location : Hyderabad(Jubilee Hills Onsite) Salary : Package is negotiable EEG( Electroencephalogram) experience is Mandate Position Overview : We are seeking an experienced Chief Data Scientist / CTO to lead our technological vision and innovation in the e-learning industry. As the CDS, you will be responsible for overseeing all aspects of our technological development, ensuring that our platforms are cutting-edge, scalable, and user-friendly. You will work closely with cross-functional teams to drive product development, technology strategy, and digital transformation initiatives. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. Mandatory Experience Required : - EEG data analysis: You should have hands-on experience working with EEG data, including data preprocessing, feature extraction, and model development is mandatory. - Machine learning: Familiarity with machine learning algorithms and tools (e.g., Python, MATLAB, TensorFlow, PyTorch) is necessary for building predictive models. - Domain-specific knowledge: Must have done EEG research specific psychological parameters (e.g., stress, focus, cognitive load) with experience in this area or related fields. Mandatory Skills and Tools Required : - Programming languages: Proficiency in Python or MATLAB is highly desirable for EEG data analysis and machine learning. - Data analysis tools: Familiarity with tools like MNE-Python, PyEEG, EEGLAB, or Scikit-learn is beneficial. - Machine learning frameworks: Experience with TensorFlow, PyTorch, or other deep learning frameworks is advantageous. Key Responsibilities : - Technology Strategy: Develop and execute a comprehensive technology strategy aligned with the company's goals and objectives. - Drive innovation and identify emerging technologies that can enhance our e-learning platforms. - Product Development: Lead the end-to-end product development lifecycle, from conceptualization to deployment. - Collaborate with product managers, engineers, and designers to deliver high-quality, user-centric solutions. - Platform Architecture: Define the architecture and infrastructure of our e-learning platforms, ensuring scalability, reliability, and security. - Implement best practices for cloud-based solutions, microservices, and API integrations. - Technical Leadership: Provide strong technical leadership to the engineering team, fostering a culture of innovation, collaboration, and continuous improvement. - Mentor team members and promote professional development. - Quality Assurance: Establish processes and standards for quality assurance and testing to ensure the reliability and performance of our platforms. - Implement automated testing frameworks and DevOps practices. - Data Analytics: Leverage data analytics and business intelligence tools to derive insights from user behavior, performance metrics, and market trends. - Use data-driven decision-making to optimize our products and services. - Security and Compliance: Implement robust security measures to protect user data and ensure compliance with relevant regulations (e.g. , GDPR, COPPA). - Stay updated on cybersecurity threats and implement proactive measures to mitigate risks. - Partnerships and Vendor Management: Evaluate potential technology partners and vendors, negotiate contracts, and manage relationships to support our technological needs. - Collaborate with external partners to drive innovation and expand our capabilities. - Budget Management: Develop and manage the technology budget, ensuring efficient allocation of resources and cost-effective solutions. - Monitor expenses and identify opportunities for optimization (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 11/24/2024