Data Scientist III

Job Description

As a Data scientist, you ll have the opportunity to 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 Sam s Club 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 Sam s Club. 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. What youll bring: 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 (GCP desired). Experience with multiple stakeholder management, data based story-telling and multiple project handling at the same time.