AWSPythonPyTorchSparkSQLTensorflowMachine LearningDeep LearningNatural Language ProcessingLLMTensorFlowAnalytics
About this role
Role Overview
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Iterate rapidly with researchers and engineers to improve a product experience while building the foundation of the platform.
Requirements
Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, SQL
At least 3 years’ experience with Deep Learning Frameworks such as TensorFlow, Pytorch, etc. in large scale training and deployment of deep neural nets and/or transformer architectures.
At least 3 years’ experience with Natural Language Processing, Information Retrieval, Search, Recommendations, Fine-tuning on LLM on specific applications.
Tech Stack
AWS
Python
PyTorch
Spark
SQL
Tensorflow
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)