Data scientist III

Position Summary

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

Role summary:

As a Data Scientist III, you will apply advanced analytical and modeling techniques to translate complex business challenges into data-driven solutions. This role requires expertise in data sourcing, exploratory analysis, and model development using programming languages such as Python. You will support the deployment and scalability of analytical models while collaborating cross-functionally to align insights with business objectives. The position demands a strong understanding of industry practices, data quality, and visualization to effectively communicate findings and drive informed decision-making within a dynamic environment.

What youll do:

• Translate complex business problems into data-driven solutions using advanced analytical and mathematical methods.

• Identify and source relevant data sets, ensuring data quality and suitability for modeling purposes.

• Develop, test, and validate custom analytical models leveraging machine learning, deep learning, and statistical techniques.

• Collaborate with cross-functional teams to align data insights with business objectives and support decision-making.

• Deploy scalable models into production environments, ensuring sustainability and performance monitoring.

• Create clear data visualizations to communicate findings and influence stakeholders effectively.

• Support continuous improvement by adopting emerging AI technologies and best practices in MLOps.

  What youll bring:

Bachelors in engineering with > 5 years of relevant experience OR Masters with > 3 years of relevant experience OR PhD in Computer Science/Statistics/Mathematics with > 1 year of relevant experience

• Experience in machine learning, supervised and unsupervised: NLP, Classification, Time-Series Forecasting, Data/Text Mining, Multi-modal models, Neural Networks, Deep Learning Algorithms
• Solve data science problems using world-class algorithms, by researching experimenting, and implementing these to production using best practices to handle scale and latency requirements
• Develop production-level code and algorithms to generate better energy consumption and real estate demand forecasts
• Design Data Science experiments, execute them, and record the results
• Adopt Walmarts quality standards and develop and recommend process standards and best practices across the retail and real estate industry
• Research, learn adapt new technologies - including LLMs and agentic frameworks - to solve problems improve existing solutions
• Adhere to company policies, procedures, mission, values, and standards of ethics and integrity
• Partner with senior team members to assess facilities, energy, and real estate portfolio needs and define business questions

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.