Senior Data Scientist
Walmart

Job Info

---

What you'll do at

What you'll do...

Position: Senior Data Scientist

Job Location: 640 W. California Avenue, Sunnyvale, CA 94086

Duties: Identify and evaluate relevant data sources based on business needs and domain knowledge using SQL, NoSQL databases, and distributed datastores (e.g., MySQL, PostgreSQL, MongoDB, Cassandra, Hadoop, and Spark). Develop and maintain code using programming languages, such as Python, SQL, and Javascript and perform thorough testing to ensure quality. Create data management plans, ensure data quality and governance, and establish storage and scalability solutions using cloud platforms such as Google Cloud Platform and Microsoft Azure. Apply advanced machine learning techniques such as artificial neural networks (ANN) and convolutional neural networks (CNN) for model creation leveraging machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, and Keras). Support the deployment of analytical models in production environments and assess model scalability and sustainability. Conduct model fit testing, tuning, and validation using statistical analysis and mathematical modeling techniques (e.g., multivariate calculus, linear algebra, and optimization techniques). Translate business problems into data-related solutions using big data technologies (e.g., Apache Hadoop, Apache Spark, and Apache Kafka), natural language processing (NLP) technologies (e.g., NLTK, spaCy, and Gensim), and Computer Vision. Design and generate graphical representations of data using Tableau and Python libraries (e.g., Matplotlib). Build front-end applications, present data visualizations to team and business audience, tailor communication style for stakeholders, and leverage rational arguments for effective influence. Guide and support team members through leadership. Implement customer-centric approaches and data-driven decision-making to deliver expected business results.

Minimum education and experience required: Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field and 1 year of experience in an analytics related field; OR Bachelor's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Data Science, or related field and 3 years of experience in an analytics related field.

Skills required: Experience programming in an object-oriented programming language. Experience cleansing, transforming, and enriching big data using Pandas and SQL. Experience with computer vision, NLP, and advanced ML tasks using neural networks, CNNs, and RNNs. Experience developing and building machine learning solutions using frameworks and libraries including Scikit-learn, TensorFlow, PyTorch, and Keras. Experience with Data Visualization and storytelling using Tableau and Python libraries including Matplotlib and Plotly. Experience deploying and scaling models using Docker, Kubernetes, and Jenkins for efficient deployment and management of analytical models. Experience with Azure or Google Cloud Platform for deploying and managing scalable data solutions. Experience with REST API development using Flask and FastAPI for seamless data and ML model integration. Experience testing to perform Unit testing and integration testing to ensure high-quality, reliable code and solutions. Experience with version control and CI/CD to use Git and Jenkins for streamlined development and deployment. Experience providing recommendations and translating requirements to ensure alignment with project objectives. Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Salary Range: $138,911/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity incentives.

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.

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 a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.

Wal-Mart is an Equal Opportunity Employer.

About Walmart

At 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.

"At Walmart, we get the opportunity to grow professionally and personally-all while improving how we work and what we deliver to consumers." - Lola, Project Analyst

Hello, Silicon Valley

You don't have to choose between your career and your lifestyle in Silicon Valley. Here, you can have both.

---