Data Scientist
Walmart

Sunnyvale, California

This job has expired.


Position Summary...

What you'll do...

Our Company

If you're thinking 'scale', think bigger and don't stop there. At Walmart Labs, we don't just innovate, we enable transformations across stores and different channels for the Walmart experience. We innovate to deliver a simple and seamless experience for our customers. Our tech talent solves the biggest and most complex problems. They drive digital transformation where data science and analytics are enabling us to better serve our customers and create a digital relationship with them. As our customers evolve and adapt, we are taking it a few notches further here. We're changing what customers can expect from the experience of shopping, from the physical stores, to mobile social and even online; we're not just ready for the future of shopping, we're creating it.

Our Team

Market Intelligence (MINT) team at Walmart Labs, delivers on the promise of EDLP (Every Day Low Prices) to our customers. It is focused on generating actionable insights for pricing, assortment, marketing optimization purpose for stores and e-commerce business across geographies leveraging market intelligence. Our systems are built leveraging cutting edge open-source technologies.

Your Opportunity

To fulfill the charter of MINT, there is need for top notch talent in the Data Sciences space. You would be working on challenging problems in NLP leveraging Machine Learning and Deep Learning Techniques to generate tangible and immediate business impact.

Your Responsibility

As a Senior Data Scientist for Walmart Labs, you'll be required to shape and deliver on the MINT data sciences charter.

  • Analytical Modeling - Feature relevance and selection. Exploratory data analysis methods and techniques. Advanced statistical methods and best- practice advanced modeling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.). Programming languages like R/Python.
  • Model Assessment & Validation - Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error etc.). Impact of variables and features on model performance.
  • Model Deployment & Scaling - Impact of variables and features on model performance. Understanding of servers, model formats to store models.
  • Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding.

Our Ideal Candidate

You are a technically strong and high performing individual with experience in machine learning and deep learning, excellent communication skills, proven analytical skills and strong customer focus. You stay updated with latest research and technology ideas and have a passion to utilize innovative ways to solve problems. You are a good storyteller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders.

Your Qualifications
  • Master's Degree OR PhD with relevant experience in Computer Science, Statistics, Information Technology, Operations Research, or a related field
  • Hands-on experience in NLP, machine learning and deep learning techniques, open-source frameworks is a plus
  • Knowledge of experimental design and A/B testing is a plus


Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...
840 W CALIFORNIA AVE, SUNNYVALE, CA 94086-4828, United States of America


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