STAFF, DATA SCIENTIST

Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What youll do...

• 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
• 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 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 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

• 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

• 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

Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field. Preferred Qualifications...