Walmart

Data Scientist

Walmart

full-time

Posted on:

Location Type: Office

Location: Bangalore • 🇮🇳 India

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Job Level

Lead

Tech Stack

CloudGoogle Cloud PlatformHadoopKafkaKerasPySparkPythonPyTorchTensorflow

About the role

  • Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
  • Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals.
  • Lead a team of Data Scientists, Data Analysts, Data Engineers to improve the Catalog Content Quality using advanced Machine Learning and Gen AI.
  • 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 AI/ML models for replication for future projects.
  • Deploy and maintain the data science solutions.
  • Communicate recommendations to business partners and influence future plans based on insights.
  • Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
  • Guides data scientists and senior data scientists across the domain DS team to ensure on-time delivery of ML products.
  • Proactive identification of complex business problems that can be solved using advanced ML and Computer Vision, finding opportunities and gaps in the current business domain.
  • Evaluates proposed business cases for projects and initiatives.
  • Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables.
  • Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution.
  • Quantifies business impact and ensures regular impact measurement of all ML products in the domain.
  • Identifies and reviews model evaluation metrics based on analytical requirements.
  • Ensures testing information is documented and maintained by the team.
  • Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights.
  • Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping.

Requirements

  • Bachelor's with > 10 years /Masters > 8 years / Ph.D. in Comp Science/Statistics/Mathematics /Quantitative discipline with > 5 years of relevant experience.
  • Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
  • Ability to lead data science projects end to end.
  • Strong experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms, Generative AI models.
  • Experience in analyzing complex problems and translating them into analytical solutions.
  • Strong experience in Computer Vision, image processing, object detection, Deep learning.
  • Exposure to image features, edge detection, blur, sharpness, corner detection, face detection, knowledge of how image data is represented.
  • Knowledge of Deep learning, CNNs, and components of CNNs, loss functions for classification, object detection, segmentation.
  • Experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Recommendation models, deep-learning, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation.
  • Ability to utilize data science solutions outcomes to drive predictive and prescriptive analytics.
  • Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data.
  • Ability to scale and deploy data science solutions.
  • Experience in LLMs, VLMs, embedding generation from multimodal data, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
  • Strong Experience in Python, PySpark, OpenCV, Python, C++, Keras, tensorflow, pytorch, big data platforms like Hadoop Google Cloud platform, Vertex AI, Kubeflow, model deployment, Kafka streaming, API development & deployment, CI/CD, MLOPs.
Benefits
  • Beyond our great compensation package, you can receive incentive awards for your performance.
  • Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdeep learningcomputer visionnatural language processingdata miningclassification modelsregression modelsstatistical learningpredictive analyticsprescriptive analytics
Soft skills
leadershipcommunicationproblem-solvingproject managementinfluencingcollaborationanalytical thinkingstrategic thinkingteam guidancestakeholder consultation