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.

• Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
• Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable insights from terabytes of data.
• Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.
• Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
• Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.
• Develop PoC, present lucidly to the business and evolve the solutions.
• Take forward the solutions into Pipelines/APIs as needed by the business.
• Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
• Adopt Wal-Mart s quality standards and develop and recommend process standards and best practices across the retail industry.
• Stay up to date with and extending the state-of-the-art in Machine Learning research.
• Integrate data science solutions into current business processes.
• Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.

• Bachelors/ Masters with 4+ years of relevant experience in Computer Science/Mathematics/Statistics or any other relevant field.
• Strong desire to drive change, and ability to adapt to change quickly.
• Strong hands on development skills to prototype technical solutions.
• Strong oral and written communication skills.
• Good problem-solving attitude and analytical skills.
• Good Python development experience with big data.
• Experience in analysing complex problems and translating them to data science. algorithms with due attention to computational efficiency and testing at scale.
• Expertise in machine learning, supervised and unsupervised along with Time Series.
• Basic knowledge on Optimization.
• Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
• Experience with SQL, relational databases and data warehouse.
• Experience in ML Ops .
• Experience with multiple stakeholder management, data based story-telling and multiple project handling at the same time.