- Experience
- 3–7 yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 hour ago
- Work mode
- Hybrid
- Education
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
- Eligibility
- Any graduate with a bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field from a top institute can apply.
- Resume
- Required to apply
Where you'll work
Job description
About the Company
Straive, formerly known as SPi Global, is a leading provider of content and data services. Its offerings span content development, course design, data operations, and technology-enabled platforms. The company focuses on EdTech, data solutions, research, and education content services, and after acquiring LearningMate in 2020, it expanded into an end-to-end content and technology partnership for K-12, higher education, digital publishing, and LMS ecosystems. Straive also serves business information clients in finance, legal, real estate, life sciences, and logistics, while remaining a strong partner for research and education publishers. In 2021, the company refreshed its identity to reflect a stronger emphasis on AI-led solutions and its mission to add value through information.
Role Overview
The organization is hiring a Data Scientist for hybrid work across Gurugram, Bengaluru, Hyderabad, Mumbai, or Chennai. The role requires 3 to 7 years of experience and follows a shift schedule from 1:00 PM IST to 10:00 PM IST.
Education
A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a similar discipline from a top-tier institute is preferred.
Technical Requirements
The role calls for more than 3 years of strong hands-on experience in SQL, Python, AI/ML, NLP, and machine learning models, including LLMs and RAG approaches. The candidate should also have experience in building, developing, and deploying machine learning solutions.
Soft Skills
The ideal candidate should bring strong analytical thinking, solid problem-solving ability, excellent communication and storytelling skills, attention to detail, the capacity to manage several projects at once, and a collaborative, proactive approach.
Keywords
Python, SQL, NLP, Machine Learning, AWS.