(USA) Staff, Data Scientist - E2E Data & Analytics, Center of Excellence

Responsibilities

• Model Development: Applying sophisticated data science and advanced analytics models such as machine learning, statistical modeling, simulation, and optimization to produce valuable insights that guide decision-making and enhance business outcomes.
• Data Engineering: Collaborating with data engineers to preprocess, clean, and structure data for model training and evaluation. Ensuring data pipelines are optimized for efficiency and accuracy.
• Machine Learning Operations (MLOps): Deploying and maintaining machine learning models in production environments, ensuring reliability and scalability.
• Collaboration: Working closely with data scientists, data engineers, software engineers, product, and business stakeholders to understand requirements and translate them into technical solutions.
• Communication: Engaging in effective communication with business stakeholders regarding model insights and the strategic importance of advanced analytics.
• Mentorship: Guiding and mentoring junior associates on story types, structures, and techniques based on context.

Requirements

• 5+ years of experience in utilizing advanced analytics to solve business problems.
• Demonstrated expertise in developing advanced data science models and leading data-driven projects from conception to implementation, driving and influencing project roadmaps.
• Proficient coding in one or more languages: Java, C++, Python, Spark, Scala, or R
• Strong proficiency in SQL for data manipulation and querying.
• Proficient with data warehouse like BigQuery and cloud platforms (GCP, Azure).
• Extensive experience in MLOps and deploying/managing machine learning models.
• Exceptional analytical and problem-solving skills, with the ability to think strategically and innovatively.
• Excellent verbal and written communication skills, with the ability to present complex technical concepts to diverse audiences.
• Track record of successfully interacting with business stakeholders and driving productive conversations.
• Experience mentoring junior operations research or machine learning scientists.
• You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
• For information about PTO, see https://one.walmart.com/notices.
• 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.
• The annual salar

Additional Information

Position Summary... What you'll do... Staff Data Scientist - E2E Data & Analytics, Center of Excellence About E2E Data & Analytics, Center of Excellence The E2E Data & Analytics team provides comprehensive analytical solutions, empowering our business customers to make data-driven decisions in areas such as Supply Chain, Store Operation, Last Mile Delivery, and Innovation & Transformation. We offer measurable value to all stakeholders by delivering accurate and actionable insights that stimulate growth, enhance efficiency, and guide strategic planning. We are dedicated to staying at the cutting edge of data & technology, constantly offering innovative solutions that enhance the experience for both associates and customers. We are looking for a Staff Data Scientist to join E2E Data & Analytics team. As a Staff Data Scientist, you will be responsible for modeling complex business problems and discovering insights through machine learning, statistical modeling, simulation, and optimization that empower our customers across Walmart to make data-driven decisions. You will drive data science partnership across US, Costa Rica, and India locations. You will be tasked to set goals, create a strategy, and closely collaborate with Data Analytics, Data Engineering, Data Governance teams and business stakeholders to deliver best-in-class analytical tools and solutions.

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