Principal, Data Scientist
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Requirements
- Masters degree or PHD in Computer Science, Information Technology, Statistics, Economics, Analytics, Mathematics, or related field and 5 years experience in an analytics related field.
- Must have qualifications...
- Have deep understanding on neural networks, attention architecture and other DL and ML concepts. Familiar with statistical models, such as linear models, generalized linear models, experiment design, and testing.
- Have experience working in building AI models. Experience working in Customer segmentation space or Customer data space and Ethical AI.
- Have experience working with, and fine-tuning LLMs
- Proven records of solving business problems using deep learning and machine learning methods.
- Familiar with some of the DL packages such as Pytorch, Keras, Tensorflow
- Strong software development skills in languages such as Python, SQL, R, Scala, Java
- Have experience in involving in deployment and production process.
- Have experience working with cross-functional teams, such as engineering and product teams.
- Great to have...
- Experience with Big Data processing and feature engineering using Spark
- Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
- Hands on experience of designing and training large DL models on GPU farm
- Causal inference expertise and experiences
- Behavior qualifications...
- Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
- Ability to clearly define problems, models and constraints from informal and flexible business requirements
- Tech leadership with teamwork spirit, quick adaptation to new environment
- Form collaborative working environment.
- You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
- For information about PTO, see https://one.walmart.com/notices.
- Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
- For information about benefits and eligibility, see One.Walmart.
- Sunnyvale, California US-08479:The annual salary range for this position is $143,00
Additional Information
Position Summary... Join Walmart's CDI team for the chance to work on Customer Data within Walmart for solving complex retail problems/challenges. Utilize deep learning methods and architectures to build and deploy models for Customer Segmentation, Ethical AI, etc. Will also be working on causal inference problems for scenario-based adjustment. What you'll do... Lead high-visibility projects in the areas of customer Segmentation, Ethical AI, Customer Identity. Develop Deep learning and GenAI integrated models and NLU interfaces and guide a team of Data scientists as a technical lead. Develop data science systems and tools for retail ; e-commerce applications: Leverage LLMS to summarize and build large scale chat applications Train large scale neural networks and deploy them as a automated batch pipelines using airflow. Deploy large scale forecasting pipelines modeling thousands of time series using batch pipelines Establish cross-functional relationships to maintain win-win situation for the corporation Collaborate with various product stake holders and business owners to formulate and productionize a solution.
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