Senior Data Scientist

Location

Chennai | India

Job description

• 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 practice

What youll do...

What you will do:

As a Senior Data Scientist for Walmart Labs, you ll have the opportunity to

• 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.

• Create recommendation models for personalizing user experience.

• 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.

• Handle multiple projects at the same time.

• Peer review and publish work in top tier ML/AI conferences

• 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 3years of experience / master s degree with 5 years of experience / bachelors degree with 7 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: Recommendation models for ranking, latest technique in NLP Deep Learning Algorithms and Reinforcement Learning

• 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 Tensor Flow, Torch

• Experience with SQL, relational databases and data warehouse

• Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark

• Domain Knowledge : Personalization

• Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.

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