DATA SCIENTIST

Walmart Global Tech India

BANGLORE,Karnataka

Job Description

About the job

Position Summary...

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 practices.

What you'll do...

Machine Learning Engineer (Data Science)

Career Level: IN3

Location: Bangalore, India

About Global Tech.

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.

Team and Position Summary:

Data Ventures (DV)

We are a team akin to a nimble startup incubated within Walmart, building the best in class data products for our customers that provide actionable insights on the what, the why and the how of a retailers omni channel 360 performance directly improving their bottom line growth.

The senior machine learning engineer will play a lead technical role in architecting scalable end-to-end data science solutions that are closely tied to business outcomes for our various DV products. This is a role that combines machine learning leadership, organizational ability, technical strength, product focus and business understanding.

Position Responsibilities:

A Machine Learning Engineer is responsible for supporting build of scalable end-to-end data science solutions for our data products.

• Work closely with data engineers, data analysts, data scientists and application developers to help build ML- and statistics-driven data quality and continuous data monitoring workflows
• Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data
• Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management
• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping.
• Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Position Requirements:

Preferred qualifications:

• Knowledge of the foundations of machine learning and statistics and has made core contributions to the area in practice.
• Expertise in web service standards and related patterns (REST, gRPC)
• Expertise in distributed in-memory computing technologies
• Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems
• Strong Python coding skills
• Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce; Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark.
• Strong ability on refactoring data science code and has worked with data scientists in developing ML solutions.
• Experience playing the role of full-stack data scientist and taking solutions to production.
• Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring.
• Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.
• Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, to different audiences.
• A team player with good work ethics

Mandatory Skills

• Machine Learning, Big Data Skills, Python, R, Kubernetes, AirFlow

Additional Qualifications:

• Good to have experience in areas such as computer vision, forecasting, real-time analytics, conversational AI assistants
• Knowledge of Linux fundamentals and experience using shell scripting
• Knowledge of advanced Kubernetes concepts and resources (memory/CPU limits, node taints, PodDisruptionBudget, annotations/labels, etc.)
• Experience using Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes cluster
• Experience in scaling infrastructure to support high-throughput data-intensive applications

Years Of Experience: 3 to 6 Years

Education/Qualification: Any Graduate/PG

Walmart Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

G, 1, 3, 4, 5 Floor, Building 11, SEZ, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-1305042