Principal, Data Scientist

Position Summary...

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 ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. 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.

What you'll do...

About Team 

 

Ever wondered what would a convergence of online and offline advertising systems looks like? Ever wondered how we can bridge the gap between sponsored search, display, video ad formats? Ever thought how we can write our own ad servers which serve billions of requests in near real time? 

Our Advertising Technology team is building an end-to-end advertising platform that is key to Walmart’s overall growth strategy. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model and analyze Walmart’s proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant retail ads and experiences that connect our customers with the brands and products they love. 

 
Your Opportunity 

 

We are looking for a versatile principal data scientist– who has a strong expertise in machine learning, deep learning with good software engineering skills and significant exposure to building ML solutions; including Gen AI solutions scratch up & leading data science engagement. The opportunities that will come with this role are – 

• As a seasoned SME in MLE, you will get to work on & take a lead in scaling & deployment for the most challenging of our data science solutions (including , but definitely not limited to Gen-AI solutions) across a broad spectrum of advertising domain. 

• Influence the best practices that we should follow as we scale & deploy our solutions across a diverse set of product. 

• Train and mentor our pool of data scientists in data sciences and MLE skills 

• Contribute to the Tech org via patents, publications & open source contributions. 

What You Will Do 

• Design large-scale AI/ML products/systems impacting millions of customers 

• Develop highly scalable, timely, highly-performant, instrumented, and accurate data pipelines 

• Drive and ensure that MLOps practices are being followed in solutions 

• Enable data governance practices and processes by being a passionate adopter and ambassador. 

• Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism) 

• Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art 

• Lead the team to develop production-level code for the implementation of AI/ML solutions using best practices to handle high-scale and low-latency requirements 

• Deploy batch and real-time ML solutions, model results consumption and integration pipelines. 

• Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. 

• Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation. 

• Design model architecture, optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders 

• Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to deploy these & drive business actions. 

• Closely partners with the Senior Managers & Director of Data Science, Engineering and product counterparts to drive data science adoption in the domain 

• Collaborate with multiple stakeholders to drive innovation at scale 

• Build a strong external presence by publishing your team's work in top-tier AI/ML conferences and developing partnerships with academic institutions 

• Adhere to Walmart's policies, procedures, mission, values, standards of ethics and integrity 

• Adopt Walmart's quality standards, develop/recommend process standards and best practices across the retail industry. 

• Drive data pipeline efficiency, data quality, efficient feature engineering, maintenance of different DBs (like Vector DBs, Graph DBs, feature stores, caching mechanism). 

• Deploy batch and real-time ML solutions, model results consumption and integration pipelines. 

• Design model architecture, Optimal Tech stack and model choices, integration with larger engineering ecosystem, drive best-practices of model integrations working closely with Software Engineering leaders. 

• Drive proactive optimisation of code and deployments, improving efficiency, cost and resource optimisation. 

 

What You Will Bring 

• Bachelor’s with > 13 years or Master's with > 12 years OR Ph.D. with > 10 years of relevant experience. Educational qualifications should be in Engineering / Data sciences. 

• Strong experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems. 

• Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind. 

• Strong experience in real time ML solution deployment 

• Experience with deployment patterns for Distributed Systems. 

• Strong Python coding and package development 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/Spark. 

About Walmart 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.

Flexible, hybrid work:

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits:

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Equal Opportunity Employer:

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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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