Job title:
Senior Data Scientist
Company
Walmart
Job description
What you’ll do…Position: Senior Data ScientistJob Location: 702 SW 8th St, Bentonville, AR 72716Duties: Performs data visualization: visualization guidelines and best practices for complex data types; Multiple data visualization tools (Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. Generates appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverages rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. Understanding Business Context: Requires knowledge of Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To translate/ co-own business problems within one’s discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem. Analytical Modeling: Requires knowledge of feature relevance and selection; Exploratory data analysis methods and techniques; Advanced statistical methods and best-practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.); Multivariate calculus; Statistical models behind standard ML models; Advanced excel techniques and Programming languages like R/Python; Basic classical optimization techniques (e.g., Newton-Rapson methods, Gradient descent); Numerical methods of optimization (e.g. Linear Programming, Integer Programming, Quadratic Programming, etc.) To select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models. Conduct exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences) on available data. Define and finalize features based on model responses and introduces new or revised features to enhance the analysis and outcomes. Identify the dimensions of the experiment, finalize the design, test hypotheses, and conduct the experiment. Perform trend and cluster analysis on data to answer practical business problems and provide recommendations and key insights to the business. Mentor and guide junior associates on basic modeling and analytics techniques to solve complex problems.Minimum education and experience required: Master’s degree or the equivalent in Computer Science, Statistics, or related field plus 1 year of experience in analytics or a related field; OR Bachelor’s degree or the equivalent in Computer Science, Statistics, or related field plus 3 years of experience in analytics or a related field.Skills required: Must have experience with: Coding in an object-oriented programming language: Python; Building production-ready code set for continuous integration and deployment (CI/CD); Statistical Modeling using regression-based algorithms Ridge/Lasso and elastic net regression; Leveraging time series models like Prophet/Arima and prediction/classification models to improve business operations; Training ML models using ML frameworks like Scikit learn and PyTorch; Pre-processing data and Feature Engineering with Pandas and Numpy libraries; Designing ETL practices and using PySpark or Spark SQL for faster data querying; Designing SQL schema for faster data retrieval; Developing advanced ML models using cloud environments like Azure, Google Cloud; Solid MLOps practices including good design documentation, unit testing, and source code control using Git; Designing and deploying REST API services to host ML models; Creating ML architecture diagrams and optimized system design; Agile methodologies using project planning and tracking management tools e.g., JIRA; Deep-learning frameworks using PyTorch on structured and unstructured data. Employer will accept any amount of experience with the required skills.#LI-DNP #LI-DNIWal-Mart is an Equal Opportunity Employer.About WalmartAt Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability-and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries-all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.“The people you work with are ready to help without hesitation to make sure you succeed, it’s just part of the culture.” — Shelby, Project AnalystHello, NW ArkansasWith over 200 miles of trails, an emerging locally-sourced food scene, the world-renowned Crystal Bridges Museum-NWA has something for everyone.ArtCrystal Bridges MuseumCelebrate the American spirit in a setting that unites the beauty of art and the power of nature.CultureWalton Arts CenterArkansas’ premiere center for visual arts and entertainment.EducationThe AmazeumAn interactive children’s museum that’s fun for the whole family.CommuneBotanical Gardens42 acres of premiere public garden space.ExploreDevil’s Den State ParkLocated on 2,500 acres, Devil’s Den State Park is the perfect place to explore Arkansas’ natural beauty.come togetherFayetteville SquareThe best of shopping and restaurants, right in the heart of Fayetteville.All the benefits you need for you and your family
- Multiple health plan options, including vision & dental plans for you & dependents
- Financial benefits including 401(k), stock purchase plans, life insurance and more
- Associate discounts in-store and online
- Education assistance for Associate and dependents
- Parental Leave
- Pay during military service
- Paid Time off – to include vacation, sick, parental
- Short-term and long-term disability for when you can’t work because of injury, illness, or childbirth
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms. For information about benefits and eligibility, see .
Expected salary
Location
Bentonville, AR
Job date
Thu, 16 Jan 2025 08:58:34 GMT
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