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Director of Data Science

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

Job Description:

NOTE: This opportunity is potentially open to hire in Bentonville, Arkansas or Sunnyvale, California. Details to follow.
What you'll do... Walmart Global Tech is looking for a leader to guide a team of experts in the broader area of operations research to help build algorithms at the intersection of merchandising operations and supply chain. The Merchant Tech Data science team researches and develops algorithms that power our core areas like pricing, assortment optimization, replenishment, labor planning etc. We are looking for a leader who is passionate about optimization and wants to apply their skill set in field of retail. You will have the opportunity to do your best work while unlocking vast business opportunity by extracting key insights, using pattern recognition to develop predictive analytics, and translating results into goal-oriented business actions. Each day, you will be presented with a variety of new challenges and interesting projects that tap your interests and strengths. This isn't analyst work; you'll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment. Responsibilities: Provide overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning. Develop and implement strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent. Cultivate an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy.
Develop and leverage internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas. You'll make an impact by: - Leading teams that:

  • Advise on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization
  • Conduct exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive)
  • Partner with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions
  • Develop processes and tools that monitor, analyze and continuously improve model performance and data accuracy
  • Use their direct work experience in Operations Research or Industrial Engineering.- Leveraging your PhD in Industrial Engineering, Operations Research or equivalent with thesis involving math modeling, Mixed Integer programming, Optimization (convex, non-convex) etc.- Experience with one or more of optimization toolkits/libraries like Cplex, Gurobi, Open source solvers (CBC, GLPK)- Being proficient with coding in one of the following languages (Python, Scala or C++)- Having effective verbal and written communications skills. You'll sweep us off our feet if---
    • You're a proven, experience leader in operations research, transportation logistics, and/or supply chain strategy.
    • You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions
    • You have consistently high standards, your passion for quality is inherent in everything that you do
    • You have the courage to fail fast
    • You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment
    • You connect the how and why, using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose
    • You have a proven ability with statistical methods and advanced modelling techniques (e.g., SVM, Random Forest, Bayesian inference, graph models, NLP, Computer Vision, neural networks, etc.)
    • You have publications in Journals (ordered by rank): OR, EJOR, ORL, IJOC, IJPR, POM, WSC or INFORMS conference papers
    • Experience in large scale optimization, heuristics, decomposition methods for solving large scale problems, real time optimization, Reinforcement learning.
    • You have experience with Spark, Hive and TensorFlow etc.
    • The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. 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, Industrial Engineering, Operations Research or related field and 6 years' experience in an analytics related field.Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Industrial Engineering, Operations Research or related field and 4 years' experience in an analytics related field.Option 3: 8 years' experience in an analytics or related field Preferred Qualifications...
      • Proven expertise with data science, machine learning, optimization models
      • PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, , Industrial Engineering or some comparable discipline is highly desired
      • Successful completion of one or more assessments in Python, Spark, Scala, or R, using open source frameworks (for example, scikit learn, TensorFlow, torch)
      • Retail experience is highly desired Benefits & Perks:
        • Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer
          • Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. 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 , Director of Data Science, Executive , Bentonville, Arkansas

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