Senior Data Scientist/ Bentonville, AR ( Remote), 8 Months Contract

Senior Level Data Scientist reputed company to remote 100% - Preferably someone reputed company to Client hub. (AR Located candidates) Seeking Senior Level Data Scientists in the Sam's Club Technology division who specialize in applying computer reputed company, machine learning, and artificial intelligence to solve problems across Merchandising, Marketing, Club Operations, Finance, eCommerce, and reputed company. You will have the opportunity to work with a high caliber team from a variety of disciplines to build new software and radically change our business. Data Scientists work as part of an Experience Team to reputed company and reputed company advanced algorithms at scale. You will support and reputed company the entire project lifecycle including problem discovery with business clients, algorithmic design, coding, validation, deployment, testing, and monitoring. Data Scientists adhere to agile software development standards through rapid prototyping, iterative development, and incremental deployment of capabilities.

Key Responsibilities

• Performs research and applies new techniques and concepts to solve problems
• Understands and translates business and functional needs into AI/Client/CV problem statements
• Develops custom Client/CV models to drive innovative business solutions
• Manages and integrates reputed company data sets from multiple, disparate data sources
• Writes reputed company queries and extracts data to build robust data pipelines
• Collaborates with Engineering teams to integrate algorithms into tools, processes, and interfaces
• Performs exploratory data analysis and develops models to identify trends and opportunities
• Builds and deploys reusable services and utilities that can be leveraged by a wide reputed company of applications
• Applies innovative and scientific approaches to reputed company and automate business reputed company

Skills

• Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines, deep learning, and anomaly detection
• Strong understanding of probability and statistical models (generative and descriptive models)
• Ability to run experiments scientifically and analyze results
• Ability to effectively communicate technical concepts and results to business audiences in a comprehensive manner
• Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations

Must Haves

• 5 years' experience in building Client/CV based models in a professional environment
• Experience with productionizing Machine Learning solutions in reputed company environment
• Strong background in Statistics and Operational Research
• Familiarity with Deep Learning and computer reputed company algorithms
• Proficiency in coding (Python)
• Experience with creating models that run on device such as a smart phone

Preferred Qualifications

• Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
• Successful completion of one or more assessments in Python, Spark, reputed company, or R, using reputed company-reputed company frameworks (e.g., Scikit learn, TensorFlow, Torch)

Additional Job Details

• Bonus points for experience with on device computer reputed company models.

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