Position Summary...

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'll do...

About Team:

Our Search datascience team is building a world class search system for Walmart e-comm customers. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model, and analyze Walmart’s proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant search results and experiences that connect our customers with the brands and products they love.

What you will do:

As a Senior Manager I, Datascience for Walmart Global Tech, you’ll have the opportunity to

Lead a team of talented Senior Data scientist, Data scientists to work on cutting edge AI/ML solutions for relevant business problems

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.

What you will bring:

• PhD with > 6 years of experience / master’s degree with > 8 years of experience / bachelor's degree with > 9 years of experience. Educational qualifications should be preferably in STEM. Experience should be relevant to the role.
• 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: Time Series Forecasting, latest technique in NLP Deep Learning Algorithms and Reinforcement 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 Modelling
• Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
• 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 : Search, Recommendation Engine
• Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.