Principal Data Scientist

Principal Data Scientist

  • Location SUNNYVALE, CA
  • Career Area Technology & Software Development
  • Job Function Data Science and Machine Learning
  • Employment Type -
  • Position Type -
  • Requisition 962284BR

What you'll do at

This request is for a Principal Data Scientist to drive the strategy for comprehensive data flows' anomaly detection.

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 (Spark, Solr, Hadoop, Druid, sqlstream, MySQL, Weka, Python, R, Matlab,ILog).
Validate models and algorithmic techniques.

Minimum Qualifications

• PhD in computer science or similar field
• 5+ years Anomaly detection working experience
• 5+ years Data Quality working experience
• Highly proficient in Python or Java
• Extremely hands on in building Machine Learning products
• Experience in building data products and crunching terabytes of data
• A good portfolio of machine learning projects with a significant impact on the bottom line
• Blog posts, papers or conference talks showing your involvement in the community

Preferred Qualifications

• Familiarity with Deep Learning
• Contributions to open source ML projects

About Walmart Labs

Walmart Labs is the technology arm of Walmart reimagining retail for our 260 million daily shoppers. Our teams of engineers, designers, and product leaders are experimenting for a smarter future—where online and in-store shopping is an interconnected, consistent, and customer-first experience.
Walmart Associate
"I feel like my manager wants to help me become a better developer and a better person overall."
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