Data science Engineer

C
Cloudsufi India Private Limited


CLOUDSUFI - Information Security Specialist - Security Monitoring Tools
Cloudsufi India Private Limited • via Hirist
Full–time
Apply on Hirist
Job description
About Us :

Job Description -

CLOUDSUFI is a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to ...
Report this listing
More jobs at Cloudsufi India Private Limited
See web results for Cloudsufi India Private Limited
S
Savanna HR


Data science Engineer
Savanna HR • Gurugram, Haryana • via Savanna HR
₹20–₹35 a year
Full–time
Apply on Savanna HR
Apply on Indeed
Apply on Glassdoor
Apply on Workday
Apply on BeBee
Apply on Apna
Apply on TechGig
Apply on Jobs Trabajo.org
Job description
At an education company we are transforming education through cutting-edge technology and personalized learning experiences. Our platform leverages advanced data analytics and machine learning to empower educators, enhance student engagement, and drive better learning outcomes. We are looking for a passionate Data Science Engineer to join our team and help us shape the future of education.

​

Job Summary

As a Data Science Engineer , you will bridge the gap between data engineering and data science, building scalable systems to analyze and deploy machine learning models that improve learner engagement, optimize learning paths, and deliver actionable insights to educators. You’ll work on real-world challenges, harnessing the power of data to revolutionize education.

​

Key Responsibilities

Design and build scalable data pipelines to process large volumes of educational data, including student performance metrics, engagement analytics, and content utilization.

Develop, deploy, and monitor machine learning models to support personalized learning experiences, adaptive assessments, and student retention strategies.

Collaborate with product managers, data scientists, and educators to identify key challenges and deliver data-driven solutions.

Implement A/B testing frameworks to evaluate the effectiveness of content recommendations and learning strategies.

Create tools and dashboards for real-time analytics to help educators make informed decisions.

Maintain and improve the performance of data infrastructure, ensuring data quality, security, and governance.

Research and implement the latest advancements in AI/ML to enhance EdTech capabilities.