Staff, 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: 
Transactional Systems ,Bangalore in India is focussed on to deliver a multi-tenant Checkout solution using loosely coupled, cloud native applications utilising a micro-service architecture and domain-driven design principles. Unified Payment Team @Walmart Bangalore in India is focus on to provide a singular payment solution for Walmart and its multitude of ecosystems. We provide a complete payment lifecycle management solution that caters to Walmart's physical POS clients as well as Ecommerce and omnichannel consumers. Our services will be consumed by various markets across many geographies (US, Mexico, UK, Canada, China etc.) 

What you'll do:

• Architect machine learning solutions given an abstract business problem.
• Perform hands-on data exploration, processing, and analysis on massive data sets.
• Use state-of-the-art machine learning, deep learning, and data mining techniques to develop proof-of-concept predictive models.
• Lead MLOPs lifecycle from end-to-end, including solution design, feature engineering, solution development, tools, testing, tuning, and monitoring.
• Design scalable, low-latency services to host predictive models; productionize prototypes on the cloud
• Communicate the results to stakeholders and present the projects in internal or external conferences.
• Research and develop advanced algorithms and techniques that address complex business problems.
• Utilize the broad and deep knowledge of Machine Learning and Software Engineering to contribute to the team's core machine learning capabilities.
• Mentor, coach and strengthen the technical expertise within the team.

What you'll bring:

• Technical expertise in machine learning, deep learning, statistical analysis, and software development.
• Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras.
• Experience working with large data sets and cloud computing (Hive, Spark, GCP, or Azure).
• Proficient in coding SQL, Python, Java, or Javascript. 
• A proven track record of leading innovation such as Medium Blog, patents, or conference presentation is preferred.
• Advanced degree (Master or PhD) in any STEM field plus 14+ years of related experience.
• Ability to work in a fast-paced, iterative development environment.
• Good communication skills, ability to work with cross-functional teams of technical and non-technical associates.
• 10+ years of experience providing technical and architectural guidance in a technical lead or architect role.
• Experience in MLOps is a plus.
• Experience with GCP services like Vertex AI and Kubeflow are desirable but not required.
• Exposure to core Java, spring suite of products, complex microservice integration design patterns, messaging and pub sub frameworks is a plus.

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. 

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, 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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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...

Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India