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
What you will do
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
Your Responsibility:
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
What You will Bring
PhD with 7 years of experience / Masters degree with 10 years of experience / bachelors degree with 12 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.
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.
