Data Science Leader

4 weeks ago


Andheri, Maharashtra, India Cornerstone OnDemand Full time
Cornerstone OnDemand is seeking a highly skilled Data Science Leader to join our team. This role is a key part of our Data Science and Machine Learning team, responsible for driving the execution of new initiatives for Machine Learning using conversational NLP techniques and introducing ML-based learning for recommendation and coaching assistant in our products.

Key Responsibilities include:

* Lead and drive execution of new initiatives for Machine Learning using conversational NLP techniques and introduce ML-based learning for recommendation and coaching assistant in our products
* Lead team of ML engineers in evaluating ML technologies, building/training models, deployment of models and monitoring in production environments.
* Work with the engineering teams and ensure timely deliveries.
* Be part of a global Engineering team supporting Fortune 1000 customers worldwide.
* Ability to experiment and iterate rapidly and provide tangible improvements in the overall engagement

Requirements include:

* Master's or bachelor's degree in computer science or a related study or equivalent experience.
* 7+ years of hands-on experience architecting and designing highly scalable and resilient systems.
* 5+ years of experience in designing & scaling applications based on Data Science, NLP, and conversational AI
* Understanding of ML algorithms - classical and deep learning and ML frameworks
* Good understanding of system availability, security, and performance management.

Preferred qualifications include:

* PyTorch and its ecosystem of libraries
* Word and document embeddings
* Transformers and Attention
* RNN, LSTM
* A background in BERT and its variants
* transfer-learning practices
* NLP Libraries: NLTK, Genism , Spacy
* ML-pipelines – Apache Airflow/ Kubeflow/ RAY
* OpenAI libraries and Models - LLMs
* scikit-learn
* Pandas
* Numpy
* plotting using matplotlib, seaborn, etc.
* HuggingFace
* Generative Models VAE & GAN
* Collaborative based filtering/ Context aware/Graph based recommender systems
* Factorization Machine
* Deep recommender
* Tensorflow
* Big-data and PySpark
* Data wrangling libraries: Beautiful Soup or Scrapy
* R libraries
* Taking models to production
* Cloud Technologies: GCP/AWS
* ML Graph Models GNN and NetworkX

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