STAFF, DATA SCIENTIST (Optimization)

• Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning
• Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness
• Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy
• Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events

• 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 plans.
• 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

• PhD with > 4 years of experience / Masters degree with > 7 years of experience / bachelors degree with > 9 years of experience. Educational qualifications should be preferably in STEM. Experience should be relevant to the role.
• Experience in analyzing 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: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms and Re-inforecement Learning
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
• Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
• Experience with Python and one Object Oriented Programming Language.
• Worked with at least one main stream 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 : Merchandising Divisions in Retail.
• Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.

Benefits

Minimum Qualifications

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field.

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field.

Option 3: 6 years experience in an analytics or related field.