Senior Data Scientist (IN4)
Bengaluru, IN
6d ago

About Walmart Global Tech :

As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance, and hundreds of other industries all while affecting the lives of millions of customers all over the world.

Here, your work makes an impact every day.

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.

We have our offices in US and other part of International location. At India, we have a primary development center at Bangalore and Chennai.

More than 6500 strong engineers are helping accelerate innovative strategic initiatives. They collaborate seamlessly across Walmart Technology and Walmart eCommerce through a highly engaged, talent dense, global agile delivery model.

Our Team :

  • Sam’s club is a membership-based retail warehouse club owned and operated by Walmart. With more than 600 physical clubs across different geographic region in US, Sam’s Club chain serves more than 50 million US members and is rated among the top retailers in US.
  • Sam’s Club works in areas like Supply chain, eCommerce, Pharmacy, Innovations and Data Science space

  • Data Scientists in the Sam's Club Technology division specialize in applying machine learning and artificial intelligence to solve problems across Supply Chain, Merchandising, Marketing, Club Operations, Finance, eCommerce, and Security.
  • Your Opportunity :

  • You will have the opportunity to work with a high caliber team from a variety of disciplines to build new software and radically change our business.
  • Data Scientists in Sam’s Club work to develop and deploy advanced algorithms at scale.

  • You will support and enable the entire project lifecycle including problem discovery with business clients, algorithmic design, coding, validation, deployment, testing, and monitoring.
  • Data Scientists adhere to agile software development standards through rapid prototyping, iterative development, and incremental deployment of capabilities.
  • Development is performed in Sprints and Data Scientists are held accountable to engineering excellence standards.
  • Your Responsibility

  • Performs research and applies new techniques and concepts to solve problems.
  • Understands and translates business and functional needs into AI / ML problem statements.
  • Develop custom ML models to drive innovative business solutions.
  • Manages and integrates complex data sets from multiple, disparate data sources.
  • Writes complex queries and extracts data to build robust data pipelines.
  • Performs exploratory data analysis and develops models to identify trends and
  • Your Qualifications

  • Experience range from 5 to 9 years in related expertise of data science will be the minimum expectation.
  • Proficiency in machine learning algorithms such as decision trees, support vector machines,
  • Gradient Boosting Machines (GBM), Random Forest, Regularized regression models, time series forecasting, anomaly detection etc.

  • Strong understanding of probability and statistical models (generative and descriptive models)
  • Exposure to optimization techniques like Mixed Integer Linear programming (MILP) is desirable.
  • Ability to run experiments scientifically and analyze results.
  • Ability to effectively communicate technical concepts and results to business audiences in a
  • comprehensive manner.
  • Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations.
  • Experience with Big Data processing (Spark / Bigquery / Hive / Hadoop / HDFS)
  • Experience with productionizing Machine Learning solutions and CI / CD
  • Comfort level with cloud computing (e.g. Azure, Google, etc.)
  • Proficiency in coding (Python, R, SQL)
  • Experience with Performance Engineering including testing, tuning, and monitoring tools will be add on
  • Master’s / PhD or any other graduation degree with related statistics or computer science or data
  • science background would be preferred.

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