PrincipalDataScientist-Tech

PrincipalDataScientist-Tech

What you'll do at

  • A Principal Data Scientist is responsible for collaborating with a business segment to determine long-term vision and provide analytical support and guidance. A Principal Data Scientist analyzes large data sets to develop multiple, complex custom models and algorithms to drive innovative business solutions. Principal Data Scientists work on large project teams in order to provide analytical support and guidance to a large project team (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. The algorithms built
  • Build learning systems to analyze and filter continuous data flows and offline data analysis.
  • Combine data features to determine search models.
  • Conduct advanced statistical analysis to determine trends and significant data relationships.
  • Develop machine learning models to apply test data algorithms to future data.
  • Develop models of current state in order to determine improvements needed.
  • Drives the execution of multiple business plans and projects
  • Ensures business needs are being met
  • Interpret data to identify trends to go across future data sets.
  • Lead project teams to develop innovative solutions to drive innovative business solutions.
  • Lead the implementation of data modeling solutions.
  • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity
  • Provide guidance to cross-functional leadership regarding data modeling possibilities.
  • Provides supervision and development opportunities for associates
  • Research new techniques and best practices within the industry.
  • Review business strategies to ensure alignment across initiatives.
  • Scale new algorithms to large data sets.
  • Train algorithms to apply models to new data sets.
  • Translate business needs into data modeling initiatives.
  • Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
  • Validate models and algorithmic techniques.

Minimum Qualifications

  • Bachelor of Science and 6 years' data science experience OR Master of Science and 4 years' data science experience OR PhD.

Preferred Qualifications

• 5 years’ experience in predictive modeling and large data analysis
• 5 years’ experience with statistical programming languages (for example, R, SAS)
• 5 years’ experience with SQL and relational databases (for example, DB2, Oracle, SQL Server)
• Expert in any scripting language (Python, PHP, Perl, etc.)
• Experience with Big Data/Distributed computing (Hadoop, Hive, Cassandra, Spark, etc.)
• Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
• Demonstrated leadership providing guidance to cross-functional, matrixed, and global teams to solve highly complex work that is critical to the organization
• Demonstrated experience mentoring and educating junior data scientists to help them become competent and confident problem solvers
• Certificate in business analytics, data mining, or statistical analysis
• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics and 17 years’ experience in analytics related field
• Master’s degree in Statistics, Economics, Analytics, Mathematics and 12 years’ experience in analytics related field
• Doctoral degree in Statistics, Economics, Analytics, Mathematics and 9 years’ experience in analytics related field

About Walmart Labs

Imagine working in an environment where one experiment can catapult an entire industry toward a smarter future. That’s what we do at Walmart Labs. We’re a team of 5,000+ software engineers, data scientists, designers and product managers within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and our enterprise operates.
Merchandising Internship at Walmart
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All the benefits you need for you and your family

  • 100% coverage for in network preventative care
  • Retirement Plan
  • Vision Plans
  • Dental Plans
  • Exclusive Discounts

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