Data Scientist

21 hours ago

Sunnyvale, California, United States Walmart Full time
About Us

At Walmart, we are a team of software engineers, data scientists, and cybersecurity experts who make an epic impact and are at the forefront of the next retail disruption. We train our team in the skillsets of the future and bring in experts like you to help us grow.

Job Description

We are seeking a Staff Data Scientist for our Sam's Fraud Engine (SaFE) team. This role involves creating innovative solutions for fraud prevention across our E-Commerce, Scan and Go (Clubs), and Contact Center channels. As a key member of our team, you will have the opportunity to implement data-aggregation from a wide array of datasets, develop algorithms and models to extract insights, present findings to stakeholders, and influence the direction of our business initiatives and strategy.

The ideal candidate will have experience with machine learning algorithms such as multi-class classifications, decision trees, XGboost, deep learning, and anomaly detection. Additionally, they will be proficient in Pyspark, Python, R, Scala, or Java, and have experience with tools and libraries for large-scale data-processing, exploration, analysis, modeling, and visualization.

Some of the responsibilities of this position include:

  • Collaborate with stakeholders including Executives, Business Owners, and various technical teams to address business and operational problems using AI, ML, Statistics, Predictive Analytics, and Data Mining techniques.
  • Implement data-aggregation from different datasets, create algorithms and models to extract insights, and present the findings to stakeholders.
  • Define business problems and formulate analytical approaches.
  • Perform exploratory data analysis and apply statistical and machine learning techniques.
  • Build and optimize statistical models and machine learning algorithms.
  • Communicate data insights to non-technical stakeholders and executives.
Requirements

To be successful in this role, you will need:

  • A Ph.D or Master's degree in Data Science, Applied Mathematics, Statistics, or Computer Science.
  • 3-5 years of experience building and operationalizing statistical and machine learning solutions. Prior experience with fraud prevention is a plus.
  • Proficiency in machine learning algorithms such as multi-class classifications, decision trees, XGboost, deep learning, and anomaly detection.
  • Experience with Spark and cloud technologies like GCP and Azure.
  • Solid understanding of probability and statistical models.
  • Proficient in Pyspark, Python, R, Scala, or Java.
Benefits

As a Walmart associate, you will receive competitive pay, performance-based bonus awards, and other great benefits for a happier mind, body, and wallet. Some of the benefits include:

  • Medical, vision, and dental coverage.
  • 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
  • Flexible, hybrid work: We use a hybrid way of working that is primarily in office coupled with virtual when not onsite.

Additionally, you will have the opportunity to participate in our education benefit program, Live Better U, which offers tuition reimbursement for full-time and part-time associates in Walmart and Sam's Club facilities.

About Our Location

This role is located in Sunnyvale, CA, and requires occasional travel to other Walmart locations.

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