Senior Data Scientist
(USA) CA SUNNYVALE Home Office GEC Sunnyvale Bus Pk Bldg M
Full Time Senior-level / Expert USD 170K - 286K
Walmart
What’s a career at Walmart or Sam’s Club like? To find out, explore our culture, our opportunities and the difference you can make.What you'll do...
Position: Senior Data Scientist
Job Location: 860 W. California Avenue, Sunnyvale, CA 94086
Duties: Research and develop online machine learning models and systems to power personalized online shopping experiences. Develop explore-exploit and reinforcement learning based models deployed at various touchpoints on the website, including optimizing for defined business metrics as well as optimal customer experience. Ensure timely updates of ML system models. Build sophisticated performance tracking systems and ML based tools to detect data inaccuracies, model defects, and anomalous errors in production pipelines. Implement large-scale systems leveraging distributed systems, graph-based models, and GPU based technologies to ensure that complex machine learning powered models can be served without compromising the website performance. Use historical data leveraging customer datasets to identify customer insights. Build statistical models on petabytes of data to build and evaluate hypotheses which positively influence incremental revenue and customer growth for Walmart.
Minimum education and experience required: Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 year of experience in an analytics related field; OR Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics related field.
Skills required: Experience programming in one of the following scripting languages: Python, R, PhP, Shell, or JavaScript. Experience building data pipelines for collecting and managing data sets using MySQL, Hive, Hadoop, Spark, Cassandra, and Kafka. Experience with data mining, natural language processing, and information retrieval. Experience implementing machine learning, deep learning, and reinforcement learning models including Random Forest, Gradient Boosting, SVM, CNN, and RNN using tools including Tensorflow, PyTorch, Keras, Sklearn, and H2O. Experience using the Version Control Software Git to track, review, organize, and maintain source code. Experience with probability, statistics, and data analysis techniques including regression, P values, hypothesis testing, probability distributions, and multivariate analysis. Experience developing with cloud-based environments including Azure and Google Cloud Platform. Experience with MySQL and NoSQL. Experience with mathematical optimization and algorithm design. Employer will accept any amount of experience with the required skills.
Salary Range: $170,186/year to $286,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
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.com.
#LI-DNP #LI-DNI
Wal-Mart is an Equal Opportunity Employer.
Tags: Azure Cassandra Classification Computer Science CX Data analysis Data Mining Data pipelines Deep Learning Distributed Systems Economics GCP Git Google Cloud GPU Hadoop JavaScript Kafka Keras Machine Learning Mathematics ML models MySQL NLP NoSQL PHP Pipelines Python PyTorch R Reinforcement Learning Research RNN Scikit-learn Spark Statistics TensorFlow Testing
Perks/benefits: Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave
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