Data Scientist/Lead Data Scientist
Data Scientist/Lead Data Scientist
Great Learning- Posted a month ago
- Over 100 applicants have applied
Job Description
The Role
- Own the quality of learning experience for our global flagship programs in the domain of analytics, data science, and artificial intelligence
- Deliver a great learner support experience by ensuring timely resolution and feedback on all learning / academic queries from learners/faculties/mentors
- Lead the strategic initiatives aimed at improving the learning experience/satisfaction, learner engagement, and learning outcome parameters for the programs
- Collaboration with key stakeholders involved in the learning delivery of the programs - senior faculty, industry experts, and mentors
- Develop and leverage analytics-powered solutions to continuously monitor and identify opportunities to improve the quality of the learning experience in terms of appropriateness, accuracy, richness, and outcomes. This will involve solving a variety of business problems using data.
Requirements
- 1+ years of working experience in Data Science, Analytics, or Artificial Intelligence
- Experience in solving an end-to-end business problem or being part of a problem-solving journey
- 1+ year experience in using SQL to query data and Python to manipulate data and draw insights from large data sets
- Experience in creating and using machine learning algorithms and statistical modeling methods
- Experience with open-source DL toolkits such as TensorFlow, PyTorch, Hugging Face
- Strong written, verbal, and presentation skills with the ability to work through complex concepts in easy-to-understand language
More Info
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Key Skills
About Company
Skills:
graph databases , Keras, Tensorflow, MLops, AWS, Pytorch, Python, Azure, Neo4j, Nlp, knowledge graphs, LLMs, DGL, Scikit-learn, LLMOps, vector databases, embeddings, RAG, semantic search, prompt engineering
Skills:
Nlp, Git, Pytorch, Docker, Statistical Analysis, Kubernetes, PEFT, pgvector, scikit-learn, Huggingface transformers, vLLM, Containerisation, LangGraph, dvc, spaCy, LoRA fine-tuning, Large Language Models
Skills:
Data Science, Algorithms, Machine Learning, Generative AI, heuristics, Ai
Skills:
Tensorflow, Predictive Modeling, Machine Learning, MLops, Pytorch, XGBoost, Python, Sql, Deep Learning, Time-Series Forecasting, Scikit-Learn
Skills:
Logistic Regression, Decision Tree, Linear Regression, Svm, scrapy, Sql, Pca, Random Forest, Nosql, Neural Network, Numpy, Pandas, Gcp, Spark, Azure, Python, AWS, scikit-learn, K-mean Clustering, R, scapy, BERT