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Principal Data Scientist - Operations Research (Arkansas or California)

Company: Walmart Global Tech
Location: Bentonville
Posted on: April 10, 2021

Job Description:

The Walmart Global Tech Merchant Data Science team is looking for versatile Principal Data Scientists to focus on building complex, cutting edge, and scalable algorithms for our merchandising organization. We are shaping the future of retail and are ready to work closely with merchants to solve their problems!
NOTE: Primary location for this role is Bentonville, AR, but the team is also open to hiring in Sunnyvale, CA. Please inquire for details.

Principal Data Scientists are responsible for collaborating with a business segment to determine long-term vision and provide analytical support and guidance. Principal Data Scientists analyze large data sets to develop multiple, complex custom models and algorithms to drive innovative business solutions, 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 by the Principal Data Scientist will be tested, validated, and applied to large data sets. Principal Data Scientists are responsible for training algorithms so they can be applied to future data sets and provide the appropriate search results. Principal Data Scientists are responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills
In this role, you will:

  • Review business strategies to ensure alignment across initiatives.
  • Provide guidance to cross-functional leadership regarding data modeling possibilities.
  • Lead project teams to develop innovative solutions to drive innovative business solutions.
  • Translate business needs into data modeling initiatives.
  • Conduct advanced statistical analysis to determine trends and significant data relationships.
  • Interpret data to identify trends to go across future data sets.
  • Build learning systems to analyze and filter continuous data flows and offline data analysis.
  • Develop machine learning models to apply test data algorithms to future data.
  • Train algorithms to apply models to new data sets.
  • Validate models and algorithmic techniques.
  • Scale new algorithms to large data sets.
  • Combine data features to determine search models.
  • Lead the implementation of data modeling solutions.
  • Research new techniques and best practices within the industry.
  • Develop models of current state in order to determine improvements needed.
  • Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
  • Drive the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
  • Provide supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness.
  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.
  • Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.
  • Optimization (Linear programming, Mixed-Integer programming, Non-linear optimization)
  • Causality (Observational causal models, structural causal models, bayesian causal models, experiment design )
  • RL, DL
  • Forecasting models
  • Statistics, ML (Supervised, Unsupervised learning)
  • Coding, SQL, Scripting language (Python or Java)
  • Statistics, Computer Science, Distributed Systems
    • Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
    • Work closely with data scientists and data engineers to develop machine learning algorithms
    • Translate machine learning algorithms into production-level code
    • Collaborate with development teams to test and deploy machine learning models
    • Create metrics to continuously evaluate the performance of machine learning solutions
    • Maintain and improve the performance of existing machine learning solutions
    • Ensure adherence to performance standards and compliance to data security requirements
    • Keep abreast with new tools, algorithms and techniques in machine learning and work to implement them in the organization
      You have:
      • A proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines and deep learning
      • Strong understanding of probability and statistical models (generative and descriptive models)
      • The ability to run experiments scientifically and analyze results
      • The ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
      • The ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations learning causal graphs
      • Solid expertise with Operations Research, Artificial Intelligence (CSP, Search) Algorithms, System Design, Big Data Analysis (Map Reduce)
      • Experience in designing and building highly scalable distributed ML models

        About Global Tech
        • Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That's what we do at Walmart Global Tech. We're a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world's largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
          We're virtual
          • Working virtually this year has helped us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives and spend less time commuting. Today, we are reimagining the tech workplace of the future by making a permanent transition to virtual work for most of our team. Of course, being together in person is an important part of our culture and shared success. We'll collaborate in person at a regular cadence and with purpose.

Keywords: Walmart Global Tech, Springdale , Principal Data Scientist - Operations Research (Arkansas or California), Other , Bentonville, Arkansas

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