Data Scientist

Overview

Experience :- 4-5yrsYour Responsibility

• Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data
• Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
• Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
• Lead small teams and participate in data science project teams by serving as the technical lead for project
• Partner with senior team members to assess customer needs and define business questions
• Clearly articulate and present recommendations to business partners, and influence future plans based on insights
• Partner and engage with associates in other regions for delivering best services to the customers around the globe
• Work with customer centric mindset to deliver high quality business driven analytic solution
• Mentor peers and analysts across the division in analytical best practices
• Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity

Your Qualifications

• Bachelor's with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 3 years of relevant experience
• Experience in Analyzing the Complex Problems and translate it into data science algorithms
• Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms
• 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 with big data analytics - identifying trends, patterns, and outliers in large volumes of data
• Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.
• Lead role mentoring multiple Jr. Analysts on approach and results.
• Strong Experience in Python, PySpark
• Google Cloud platform ,Vertex AI, Kubeflow, model deployment
• Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala)

Additional Preferred Qualifications:

• Domain Knowledge of one or more divisions in Retail
• Published papers or given talks in leading academic and research journals
• Published papers or given talks in Data Science Forums
• Hold data science related patents
• Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark
• Experience in deep learning and worked in TensorFlow and Torch
• Experience with GPU/CUDA for computational efficiency

Job Type: Full-time

Pay: ₹622,315.98 - ₹1,978,070.52 per year

Schedule:

• Day shift

Ability to commute/relocate:

• Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Location:

• Bengaluru, Karnataka (Preferred)

Work Location: In person