(IND) Data Scientist III

📋 Description

• • Join the innovative Sam's Club team at Walmart, a global leader in retail, and contribute to shaping the future of supply chain operations through advanced data science.
• • As a Data Scientist III, you will be instrumental in developing and deploying sophisticated machine learning solutions that address complex challenges within the Sam's Club business, operating at Walmart's massive scale.
• • This role offers a unique opportunity to work with terabytes of data, extracting actionable insights that drive significant business impact and operational efficiency.
• • You will be part of a dynamic team of talented data scientists, fostering a collaborative environment where cutting-edge techniques are applied to real-world problems.
• • Your responsibilities will include the end-to-end lifecycle of ML solutions, from conceptualization and prototyping to development, deployment, and ongoing optimization.
• • You will leverage a wide array of data science tools and techniques, staying at the forefront of community advancements to solve critical business needs for Sam's Club.
• • Collaboration is key: you will work closely with counterparts in business, engineering, and other scientific disciplines to identify and implement impactful solutions.
• • A significant part of your role will involve translating complex analytical findings into clear, concise, and actionable recommendations for business partners, thereby influencing strategic decisions.
• • You will be responsible for developing Proofs of Concept (PoCs), presenting them effectively to stakeholders, and iterating on solutions to meet evolving business requirements.
• • The role requires you to take developed solutions forward, integrating them into robust pipelines or APIs as dictated by business needs, ensuring seamless integration and scalability.
• • Continuous learning and research are encouraged; you will be expected to explore, learn, and disseminate new technologies, adapting them to enhance existing solutions and tackle new challenges.
• • You will uphold and contribute to Walmart's stringent quality standards, developing and recommending best practices in machine learning and process standards applicable across the retail industry.
• • Staying abreast of the latest advancements in Machine Learning research is crucial, with an expectation to extend the state-of-the-art where applicable.
• • You will play a vital role in integrating data science solutions directly into current business processes, ensuring that theoretical models translate into tangible operational improvements.
• • The position demands a proactive approach to problem-solving, with a strong emphasis on analytical rigor and the ability to translate intricate problems into efficient, scalable data science algorithms.
• • You will be expected to manage multiple projects concurrently, demonstrating strong stakeholder management skills and the ability to craft compelling data-driven narratives.
• • This role is based in our Bangalore office, fostering a collaborative in-person work environment while offering flexibility for associates to manage their personal lives.
• • Contribute to a culture of innovation and continuous improvement within the Sam's Club technology division.
• • Develop and implement models for demand forecasting, inventory optimization, logistics, and other critical supply chain functions.
• • Analyze large datasets to identify trends, patterns, and anomalies that can inform strategic business decisions.
• • Design and execute experiments to test hypotheses and validate the effectiveness of proposed solutions.
• • Mentor junior data scientists and contribute to the technical growth of the team.
• • Ensure the ethical and responsible use of data in all analytical and modeling activities.
• • Communicate technical findings to both technical and non-technical audiences effectively.
• • Drive the adoption of data-driven decision-making across various business units within Sam's Club.
• • Contribute to the development of a scalable and robust data science platform at Walmart.
• • Proactively identify opportunities where data science can create new value or improve existing processes.
• • Champion best practices in data science, machine learning, and MLOps within the organization.
• • Work with diverse datasets, including structured, semi-structured, and unstructured data, to build comprehensive models.
• • Evaluate and select appropriate machine learning algorithms and statistical methods for specific business problems.
• • Monitor the performance of deployed models and implement retraining or adjustments as needed.
• • Collaborate with engineering teams to ensure the successful deployment and integration of machine learning models into production systems.
• • Contribute to the strategic roadmap for data science initiatives within Sam's Club.
• • Foster a data-driven culture by sharing insights and promoting the use of analytical tools and techniques.
• • Develop and maintain documentation for models, algorithms, and data pipelines.
• • Engage in peer code reviews and provide constructive feedback to enhance code quality and model performance.
• • Stay informed about industry trends and emerging technologies in data science and artificial intelligence.
• • Apply principles of optimization to enhance the efficiency and effectiveness of supply chain operations.
• • Develop predictive models to anticipate customer behavior and operational needs.
• • Ensure compliance with data privacy regulations and company policies.
• • Drive continuous improvement in data quality and data governance practices.
• • Contribute to the development of reusable data science components and libraries.
• • Actively participate in team meetings, knowledge-sharing sessions, and cross-functional initiatives.
• • Build strong relationships with stakeholders across different departments to understand their needs and deliver tailored data science solutions.
• • Champion the use of advanced analytics to solve complex business problems and drive competitive advantage.
• • Contribute to a positive and inclusive team environment where diverse perspectives are valued.
• • Develop and implement strategies for model interpretability and explainability.
• • Ensure the scalability and performance of data science solutions in a cloud environment (GCP preferred).