Senior Data Scientist

Location: Bengaluru, Karnataka

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We are Walmart

We help people around the world save money and live better - anytime and anywhere - in retail stores, online and through their mobile devices. Each week, more than 220 million customers and members visit our 11,096 stores under 69 banners in 27 countries and e-commerce websites in 10 countries. With last fiscal revenues of approximately $473 billion, we employ 2.2 million employees worldwide.@Walmart Labs in Bangalore, we enable an ecosystem, wherein our customers can “save money so they can live better”, by using technology for the charter of building brand new platforms and services on latest technology stack to support both our e-commerce and stores businesses worldwide.Our TeamRetail and Emerging Technology@WalmartLabsBangalore in India is focused on deploying Enterprise solutions across all our global business markets. The team delivers solutions across various domains like Finance, People, Real Estate, Indirect Spend Management, Manufacturing and Retail. The charter for this team is to deliver on the goal of Everyday Low Cost (EDLC) by driving efficiency in all the back-office processes, through technology. Combining Technologists with Business Analysts and data experts, we build and deploy solutions that support billions of transactions every month.

Our Team

Merchant and Facilities Technology is one of the core & foundational divisions in Walmart Labs that aims to “Sell the best product at the best price” to our customers. The teams in Merchant Technology truly deal with very large scale Systems Engineering, Data Engineering & Data Science challenges. Architecting & Engineering software systems & algorithms to scale with millions of user requests, hundreds of millions of rows of data, billions of messages and updates are just part of our everyday tasks! To do this, we leverage the best in class and cutting edge open source technologies. Think of an open source technology and its extremely likely that it is being used at Walmart Labs. You will have the opportunity to work at the heart of such problems and engineer large scale systems and make a significant impact to the business of Walmart .

Your Opportunity

As a Senior Data Scientist for Walmart Labs, you’ll have the opportunity to

  • Drive data-derived insights across the wide range of problem statements by developing advanced statistical models, machine learning algorithms, optimisation techniques, and computational algorithms based on business initiatives
  • Direct the gathering of data, assessing data validity and synthesising data into large analytics datasets to support project goals
  • Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
  • Build and train statistical models and machine learning algorithms for replication for future projects
  • Communicate recommendations to business partners and influencing plans based on insights

Your Responsibility

  • Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data
  • Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
  • Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
  • Lead small teams and participate in data science project teams by serving as the technical lead for project
  • Partner with senior team members to assess customer needs and define business questions
  • Clearly articulate and present recommendations to business partners, and influence plans based on insights
  • Partner and engage with associates in other regions for delivering best services to the customers around the globe
  • Work with customer centric mindset to deliver high quality business drive analytic solution
  • Mentor peers and analysts across the division in analytical best practices
  • Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
  • Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

Our Ideal Candidate

You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas and have a passion to utilize innovative ways to solve problems. You are a good storyteller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the real estate/facility/energy/domain space, with keen interest in keeping up to date on the latest happenings in this space.Your Qualifications

  • Bachelor's with > 8 years of relevant experience OR Masters with > 6 years of relevant experience OR PhD in Comp Science/Statistics/Mathematics/Econometrics with > 3 years of relevant experience
  • Experience in Analysing the Complex Problems and translate it into data science algorithms
  • Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms
  • Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
  • Experience with Optimisation techniques: linear programming, integer programming, genetic algorithm, constrained optimisation
  • Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
  • Lead role mentoring multiple Jr. Analysts on approach and results.
  • Experience with Python, Pyspark, Tensorflow, PyTorch or other related big data and machine learning technologies to design and develop robust high-performance and scalable applications
  • Strong hands on experience with ML products like Databricks, Azure ML, Alteryx
  • Strong hands on experience with big data platforms – Hive, Pig, HQL, Scala, Spark, Scala
  • Experience with one or more of optimisation toolkits/libraries like CPLEX, Gurobi, Open source solvers (CBC, GLPK)
  • Experience in large scale optimisation, heuristics, decomposition methods for solving large scale problems, real time optimisation, Reinforcement learning
  • Experience with Teradata, SQL and relational databases, data warehouse

Additional Preferred Qualifications:

  • Domain expertise in Retail, Merchandising, or Pricing
  • Published papers or given talks in leading academic and research journals
  • Published papers or given talks in Data Science Forums
  • Hold data science related patents
  • Experience with data warehouse platforms – No SQL Databases (Cassandra)
  • Experience with GPU/CUDA for computational efficiency

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