NNIIT - Chief Data Scientist

2 months ago

Hyderabad, India NNIIT Full time

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)

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