Job Summary
Data Analyst ScientistJob DescriptionMore than 10 years of experienceData Scientist with experience in designing, developing, and researching Machine Learning systems, models, and schemes through prototypes.Understanding of Natural Language Processing(NLP), Natural Language Understanding(NLU) and Natural Language Generation(NLG)Develop and implement technical efforts to design, build, and deploy GCP ML models at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analyticsFamiliarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)Should have experience in GCP services such as Vertex AI, Bigquery, and general knowledge of GCP architecture & other servicesAbility to write robust code in Python, Java and RExperience optimizing model hyperparameter tuning for speed and costExperience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow etcExperience with Docker and KubernetesExperience with Agile Development.Good experience in process improvement/change management methodsKnowledge of various aspects of an enterprise technology architecture like business, information, data, network, and securityUnderstanding and knowledge of system development life cycle methodologies (such as waterfall, agile software development, rapid prototyping, and DevOps)Experience in working with regulatory and/or legal information will be a plusExcellent analytical, planning, organizational and technical and skillsSkilled at influencing, guiding, and facilitating stakeholders and peers with decision making. Should have experience in consulting with business teams and driving design/ai innovation workshops around business use casesAbility to articulate new ideas and concepts to technical and nontechnical audiencesAbility to understand the long-term ("big picture") and short-term perspectives of situations
Key Responsibilities
Data Analyst ScientistJob DescriptionMore than 10 years of experienceData Scientist with experience in designing, developing, and researching Machine Learning systems, models, and schemes through prototypes.Understanding of Natural Language Processing(NLP), Natural Language Understanding(NLU) and Natural Language Generation(NLG)Develop and implement technical efforts to design, build, and deploy GCP ML models at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analyticsFamiliarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.)Should have experience in GCP services such as Vertex AI, Bigquery, and general knowledge of GCP architecture & other servicesAbility to write robust code in Python, Java and RExperience optimizing model hyperparameter tuning for speed and costExperience in building MLOps pipeline using MLOps frameworks like Kubeflow, MLFlow etcExperience with Docker and KubernetesExperience with Agile Development.Good experience in process improvement/change management methodsKnowledge of various aspects of an enterprise technology architecture like business, information, data, network, and securityUnderstanding and knowledge of system development life cycle methodologies (such as waterfall, agile software development, rapid prototyping, and DevOps)Experience in working with regulatory and/or legal information will be a plusExcellent analytical, planning, organizational and technical and skillsSkilled at influencing, guiding, and facilitating stakeholders and peers with decision making. Should have experience in consulting with business teams and driving design/ai innovation workshops around business use casesAbility to articulate new ideas and concepts to technical and nontechnical audiencesAbility to understand the long-term ("big picture") and short-term perspectives of situations