(USA) Staff, Data Scientist

About the role

In the position of Staff Data Scientist at Sam's Club, you will utilize advanced analytical methods and machine learning to convert intricate data into meaningful insights for the business. This role demands a solid understanding of data strategy, model creation, and visualization to assist in decision-making across various sectors. You will work alongside diverse teams to pinpoint data sources, validate analytical models, and implement scalable solutions that enhance business outcomes.

Key facts

What you'll do

• Source and assess relevant data from various business areas, ensuring its quality and appropriateness for analysis.
• Formulate and execute data strategies that align with business goals to maximize the value derived from data.
• Construct, evaluate, and validate predictive models using sophisticated statistical and machine learning techniques.
• Develop clear and insightful visual representations of data to effectively communicate findings to stakeholders.
• Convert complex business challenges into data-driven solutions and actionable insights.
• Collaborate with cross-functional teams to implement and scale models in production settings.
• Provide mentorship to junior team members on analytical techniques, coding standards, and data storytelling.

Requirements

• Extensive knowledge in predictive analytics, machine learning techniques, and applied mathematics for the development and validation of advanced models.
• Proficiency in Python programming and experience with data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
• Familiarity with data strategy, including data quality evaluation, governance, and identifying appropriate data sources across SQL and NoSQL databases.
• Understanding of natural language processing, deep learning, and MLOps for the efficient deployment and scaling of machine learning models.
• Capability to translate intricate business issues into data-driven solutions and convey insights clearly to stakeholders.

Nice to have

• Experience in data science, machine learning, and optimization models.
• A PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of assessments in Python, Spark, Scala, or R.
• Familiarity with open-source frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of creating inclusive digital experiences and implementing accessibility standards.

Skills & tools

• Python
• SQL and NoSQL databases
• Data visualization tools (Matplotlib, Plotly, Tableau, PowerBI)
• Machine learning frameworks (scikit-learn, TensorFlow, PyTorch)

Practical notes

The annual salary for this role ranges from $143,000 to $286,000, with additional performance-based bonuses available. Benefits include comprehensive health coverage (medical, vision, dental), a 401(k) plan, stock purchase options, and paid time off, among others. The company provides educational benefits through the Live Better U program, which covers tuition and fees for various educational programs.

Walmart and its subsidiaries maintain a drug-free workplace and have a strict policy against the use of illegal substances and alcohol on the job, ensuring a safe and productive work environment.