About the Role
The Data Scientist will play a prominent technical role in architecting data science solutions, working with business stakeholders to deliver outstanding business outcomes for problems across Walmart. You will be developing and productizing machine learning models on customer segmentations, NLP & NLG, chat-bots, time-series forecasting, anomaly detection, and graph recommendation systems touching Walmart scale. You have a deep interest and passion for technology, love writing and owning codes, and enjoy working with people who will keep challenging you at every stage. You possess strong problem-solving, analytic, decision-making, and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.
Responsibilities
- Own a business problem and deliver end-to-end solution by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.
- Support the team in demonstrating to business stakeholders the value of the solution.
- Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.
- Participate in internal technical councils and represent the organization in forums that involve community of data scientists across industry and academia.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
- Communicate complex models, analysis and recommendations in a clear and precise manner.
- Deliver actionable insights to stakeholders through rich visualization and presentation.
- Manage priorities between research and deliverables effectively.
Requirements
- Bachelor's /Master's degree in Engineering / Analytics or Master's Degree in Statistics/Computer Applications/ IT/Analytics /any discipline related to Data Science / Analytics with 4+ years of relevant data science experience.
- Experience designing algorithms for a relevance system such as a personalized tool, search/ranking, recommendations, forecasting, marketing, loyalty, etc.
- Strong engineering mindset and exposure to software engineering principles, Agile methodologies, distributed systems and applied Machine Learning.
- Proficient in one or more of Python, R, Java, C, C++.
- Excellent critical thinking ability, result orientation and project management skills.
- Sound verbal and written communication skills.