Associate Data Scientist
Gartner (company site, opens in a new tab)1–3 yrsGurugramOn-siteDirect career pageEst. 10–18 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead execution of large-scale data science projects transforming structured and unstructured data into actionable business insights using ML, DL, and generative AI.
- Collaborate with stakeholders to design, develop, and implement advanced NLP and LLM-driven solutions, including text analytics and knowledge retrieval.
- Own high-visibility programs to drive measurable impact on engagement, retention, and cost efficiency through AI innovation and responsible AI governance.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field focused on AI/Data Science from a reputed college.
- 1-3 years of professional experience in data science, AI, or ML roles.
- Strong proficiency in Python and experience with ML/DL/LLM technologies including Transformers, prompt engineering, and evaluation frameworks.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP), vector databases (e.g., FAISS, pgvector), NLP libraries (SpaCy, NLTK), and distributed computing (Spark/Databricks).
Ideal Candidate Profile
- Experienced in applying advanced ML/DL/LLM techniques for large-scale unstructured data analysis and text analytics.
- Skilled at translating complex business challenges into measurable AI-driven solutions under fast-paced, milestone-driven environments with strict SLAs.
- Capable of responsible AI implementation including privacy, auditability, prompt engineering, and collaborative stakeholder management.