Distinguished, Data Scientist
- Walmart
- 15 - 20 years
- Bengaluru
- 2 months ago
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Job Description
As a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to -
Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace.
Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product business teams to drive the Organizational strategy around Marketplace.
Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency 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
Drive data-derived insights by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Work closely with Directors, Sr. Managers of Data Science, and leaders of Architecture, Engineering, Product business teams to drive the Organizational strategy around Marketplace.
Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals
Mentor and guide a set of Data Scientists, Data Analysts across IDC and US to drive Marketplace growth and operation efficiency 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 product and business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
Guides data scientists, senior data scientists and staff data scientists across the domain DS team to ensure on-time delivery of ML products.
Proactive collaboration with cross-functional teams on driving the end-to-end content improvement.
Research oriented development to find innovative solutions on content improvement, with a strong grasp of multi-lingual and multi-modal foundational models.
Guides the data science team members 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
Guide teams to perform model deployment following MLOps guidelines.
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
Guides data scientists, senior data scientists and staff data scientists across the domain DS team to ensure on-time delivery of ML products.
Proactive collaboration with cross-functional teams on driving the end-to-end content improvement.
Research oriented development to find innovative solutions on content improvement, with a strong grasp of multi-lingual and multi-modal foundational models.
Guides the data science team members 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
Guide teams to perform model deployment following MLOps guidelines.
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 YouII Bring:
- Bachelors with > 20 years, Masters > 17 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 14 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area.
- Experience of acting as a tech lead for > 10 years.
- Ability to lead data science projects end to end.
- Deep experience in building data science solutions at the scale of billions of datapoints across many countries.
- 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.
- Deep 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.
Job Classification
Industry: RetailFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: WalmartLocation(s): Bengaluru
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Keyskills: deep learning C++ Networking data science Machine learning SEZ big data Information technology Monitoring Python
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