Staff, Data Scientist
- Walmart
- 10 - 15 years
- Bengaluru
- 22 days ago
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Job Description
Position Summary... Job SummaryAs a Staff Data Scientist, youll have the opportunity to
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 to solve problems in Store operations domain 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
About the team
International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop.
What You ll Do
- 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
- Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products.
- Proactive identification of complex business problems that can be solved using advanced ML and Generative AI, 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 Walmarts business and drive actionable insights
- 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
- Articulate and present recommendations to business partners and influence plans based on insights
- Partner and engage with associates in other regions for delivering the best services to customers around the globe
- Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions.
- Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
- Proactively engages in the external community to build Walmarts brand and learn more about industry practices
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
What You ll bring
- Bachelors 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
Additional Preferred Qualifications:
- 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 GPU/CUDA for computational efficiency
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Walmart s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
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Equal Opportunity Employer
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: WalmartLocation(s): Bengaluru+ View Contact
Keyskills: deep learning C++ data science Machine learning Business strategy big data Information technology Monitoring Business operations Python
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