Savanna HR
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Gurugram · On-site · 3-6 Yrs · Oct 16
HR Consulting · 1 to 50 Employees · Gurgaon, India
Hiring: Engineering
What employees say
+ Great learning opportunity Client facing role Growth opportunity Visibility in the industry
− Process oriented and adherence to perfection
More reviews on the company profile.
Interview experience · Associate Recruiter
the interview was very cooperative. the overall interview was nice but there were few tough questions as well. it had three rounds: 1. telephonic interview 2. HR Round 3. CEO round
Average difficulty · New Delhi · 1 reports
More interview insightsJob description
Overview
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.
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.
Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- 3+ years of experience in data science, machine learning, or data engineering roles.
- Proficiency in Python, R, or similar programming languages for data analysis and model development.
- Knowledge of machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Strong understanding of database systems (SQL and NoSQL) and ETL processes.
- Knowledge of education-specific datasets, including learning management systems (LMS) data.
- Understanding of adaptive learning algorithms and recommendation systems.
- Familiarity with data visualization tools like Tableau, Power BI, or similar.
- Be part of a mission-driven team shaping the future of education.
- Work on impactful projects using cutting-edge technologies.
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Job application FAQ
Last updated 17 October 2026
- How do I apply for Data science Engineer at Savanna HR?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Savanna HR may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data science Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data science Engineer remote or on-site in Gurugram, Haryana?
- This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Data science Engineer role at Savanna HR?
- This is a mid-level Data science Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.