SENIOR, DATA SCIENTIST

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.

• Model Development: Design, develop, and implement advanced algorithms for dynamic inventory placement.
• Data Analysis: Analyze large datasets to extract actionable insights and refine model inputs, including forecasts and cost structures.
• Optimization and Machine Learning: Employ optimization and machine learning techniques in inventory placement to improve efficiency and reduce costs across the network.
• Collaboration and Stakeholder Management: Work closely with cross-functional teams, including data scientists, engineers, and supply chain specialists, merchandisers.

• 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.
• Define and/or own the model goodness metrics and track the business impact over time.
• 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.
• Manage the continuous improvement of data science and machine learning by following industry best practices and staying 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.
• Mentor peers and junior members and handle multiple projects at the same time.
• Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT
• Participate and speak at various external forums such as research conferences and technical summits.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

• Educational Background: Masters degree in Data Science, Operations Research, Industrial Engineering, Computer Science, or a related fields.
• PhD: Doctorate degree in Data Science, Operations Research, Industrial Engineering, Computer Science, or a related fields with 2+ years of experience post grad school
• Technical Skills: Outstanding skills in programming in Python, SQL/Spark; statistics, forecasting, data analytics, machine learning, and optimization tools.
• Worked with at least one mainstream machine learning framework such as caffe, convNet, Tensor Flow and Torch
• Experience with SQL, relational databases and data warehouse
• Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20
• Domain Knowledge: Ecommerce, Supply chain
• Experience with multiple stakeholder management, data based storytelling, mentoring peers and juniors, multiple project handling at the same time.

Minimum Qualifications... Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field