Data Scientist

Jobtailor; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Walmart Bengaluru seeks a Staff Data Scientist to develop scalable statistical models and ML solutions, collaborating with diverse teams to translate data insights into actionable business actions. You will define model metrics, evaluate performance, and present recommendations to partners, influencing future decisions while mentoring peers and advancing research.

PhD or equivalent with extensive ML experience in retail/e-commerce contexts is expected, with a focus on ethics and continuous

Qualifications

• PhD with >5 years of relevant experience / 4-year bachelor’s degree with >10 years of experience / Master’s degree with >8 years of experience.
• Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.
• 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.
• Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
• Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the lab’s environment.
• 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.

Responsibilities

• Develop and apply statistical modeling techniques and ML methods to business problems at Walmart scale.
• Collaborate with business, engineering, and science teams to implement scalable models and drive impact.
• Define model evaluation metrics and track business impact over time.

Skills

Deep Neural Networks

Bayesian Models

Optimization Methods

Machine Learning Techniques

Data Science Best Practices

Process Standards Development

Algorithm-Based Recommendations

Model Goodness Metrics

Performance Evaluation

Continuous Improvement

Education

PhD or Master’s in CS/Quantitative discipline

Job description

• 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 promoting a belonging mindset in the workplace.
• 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.
• As a Staff Data Scientist for Walmart, you’ll have the opportunity to apply and/or develop statistical modelling techniques (such as deep neural networks and Bayesian models), optimization methods and other ML techniques. Develop efficient and scalable models at Walmart scale. 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.

Requirements

• PhD with >5 years of relevant experience / 4-year bachelor’s degree with > 10 years of experience / Master’s degree with > 8 years of experience.
• Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.
• 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.
• Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
• Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the lab’s environment.
• 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.

Core Competencies

Demonstrates expertise in statistical modeling techniques, machine learning, and data science, with a strong focus on continuous improvement and integration into business processes. Proven ability to mentor teams, manage multiple projects, and influence business decisions through data-driven insights.

Highest-signal resume keywords

• Statistical Modeling Techniques
• Machine Learning Research
• Data Science Solutions Integration
• Mentoring and Team Development
• Business Stakeholder Consultation

ATS Optimization Keywords

Hard Skills

• Deep Neural Networks
• Bayesian Models
• Optimization Methods
• Machine Learning Techniques
• Data Science Best Practices
• Process Standards Development
• Algorithm-Based Recommendations
• Model Goodness Metrics
• Performance Evaluation
• Continuous Improvement

Soft Skills

• Team Building
• Coaching for Success
• Adaptability
• Communication
• Influencing

Industry Keywords

• Retail Industry
• Community Outreach
• Business Plans
• Performance Standards
• Data Science
• Machine Learning
• E-Commerce
• Research Conferences
• Technical Summits
• Ethics and Integrity