Job Description

What you'll do at

Position Summary...

What you'll do...

Job Summary:

• We are looking for a passionate, creative data scientist professional to join Inkiru Data Science team @Walmart Global Tech.
• You will have the unique opportunity to work with massive business and social data generated by Walmart Inc.'s unparalleled online and offline commerce.  
• You will be responsible to use cutting-edge machine learning, deep learning, data mining, and optimization techniques to design and prototype robust, scalable predictive models and analytics solutions.  
• You will be a part of a cross-functional team of scientists, engineers, product managers, and business professionals that sit at the intersection of data science, big data, IT infrastructure, and business operations. 

About Team:

Inkiru is a fraud & risk engine that develops Enterprise Risk as a Service using machine learning and deep learning techniques to mitigate various types of risk by aggregating information from omni-channel touchpoints.

What you'll do:

• Research and develop state-of-the-art algorithms that address complex business problems. 

• Research and build patent application, tech blog, publication etc. 

• Use machine learning, deep learning and data mining techniques to develop robust predictive models in areas such as anomaly detection, abusive returns and E-Commerce & Financial Service fraud detection. 
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  Pull data from warehouse and cloud, perform feature engineering, back-test models, compare model performances and communicate the results to stakeholders.  
  

What you'll bring:

• Advanced degree (Master or PhD) in any STEM field plus five years of related experience. 
• Proven track record in innovation and research such as patent application, hackathon, tech blog posting, conference presentation, and publication. 
• Technical expertise in data mining, machine learning, statistical analysis, and/or deep learning. 
• Proficient in machine learning and data mining packages in Python and other open source packages. 
• Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).  
• Experience in operating from a cloud environment such as Google Could Platform or Microsoft Azure. 
• Programming skills in one of the following languages: Hive SQL, Java, or JavaScript on a UNIX or Linux platform. 
• Ability to work in a fast-paced, iterative development environment. 
• Good communication skills, ability to work with cross functional teams of technical and non-technical members. 

Additional Preferred Qualifications:

5+ years relevant industry experience (3+ years in Risk Management preferred) 

At Walmart, we offer competitive pay as well as performance-based bonus 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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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.

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For information about PTO, see .

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

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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.

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For information about benefits and eligibility, see One.Walmart .

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The annual salary range for this position is $143,000.00-$286,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

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, PhD 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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America

Job Tags

Holiday work, Permanent employment, Full time, Temporary work,

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