GSNA Education - Chief Data Scientist - Data Analytics & Machine Learning (5-8 yrs)

Chief Data Scientist / CTO

Location : Hyderabad.

Languagues : English and Hindi. If Telugu then it would be an added advantage.

Package : Depends on previous.

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 (i.e.., Python, MATLAB, TensorFlow, PyTorch) is necessary for building predictive models.

- Domain-specific knowledge : Must have done EEG research specific psychological parameters (i.e., 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.

- Product Development : Lead the end-to-end product development lifecycle, from conceptualization to deployment.

- Platform Architecture : Define the architecture and infrastructure of our e-learning platforms, ensuring scalability, reliability, and security.

- Technical Leadership : Provide strong technical leadership to the engineering team, fostering a culture of innovation, collaboration, and continuous improvement.

- Quality Assurance : Establish processes and standards for quality assurance and testing to ensure the reliability and performance of our platforms.

- Data Analytics : Leverage data analytics and business intelligence tools to derive insights from user behavior, performance metrics, and market trends.

- Security and Compliance : Implement robust security measures to protect user data and ensure compliance with relevant regulations (e.

- Partnerships and Vendor Management : Evaluate potential technology partners and vendors, negotiate contracts, and manage relationships to support our technological needs.

- Budget Management : Develop and manage the technology budget, ensuring efficient allocation of resources and cost-effective solutions.