Director Data Science
6 days ago
About Team
Finance Tech Data Science team at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems in Controllership, FP&A. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to enable timely strategic decisions, optimize business operations and business practices.
There is a vibrant data science community at Walmart that provides great learning and collaboration opportunities. Apart from the numerous internal events, there is active participation in external events. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.
What you'll do:
As team lead, grow a team of high performing data scientists and drive business value through application of advanced analytics and data science.
- Coordinate across retail value chain functional teams of data scientists, analysts, product managers, engineers, and business operators on value realization initiatives.
- Develop and leverage a consistent framework to identify and prioritize uses cases based on business value.
- Play a key role to solve complex problems, pivotal to Walmart's business and drive actionable insights.
- Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping.
- Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems.
- Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem.
- Establish data science best practices and drive the use of state of art techniques.
- Build a data culture and influence data-drive decision making across business.
- Develop and leverage internal and external partnerships and networks to maximize the achievement of business goals.
- Architect, develop, and deploy large-scale AI / ML solutions from prototype through production that meet key business requirements (performance, reliability, speed, monitoring, self-service, etc.).
- Establish operational and engineering excellence for data science products.
- Influence the domain’s data strategy, providing input into overall technical roadmap and data acquisition / transformation prioritization.
- Build the Finance Tech Data Science brand for Walmart internally and externally.
- Develop and implement strategies to attract, develop, and retain a highly skilled and engaged workforce
- Mentor and coach data scientists.
- Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
What you'll bring:
- Bachelor’s / Masters / PhD degree in engineering or relevant discipline
- At least 15+yrs years of professional experience in roles focused on adding value through building analytics and data science-based solutions and products for complex, cross functional business problems
- Strong background with Machine Learning concepts and experience working closely with Data Scientists to scope and deliver use cases
- Proficiency in modern software engineering practices and core computer science concepts across algorithms, data structures and distributed computing
- Knowledge of data warehousing and data lake concepts, methodologies, and frameworks and their implications on data science solutions.
- Knowledge of software engineering / DevOps / ML Ops practices including experimentation and testing methodologies.
- Experience with cloud computing platforms
- Entrepreneurial attitude and ability to drive change and navigate ambiguity when building new capabilities in an enterprise setting
- Background in managing AI/ML and technology teams and partnering with business leaders is essential
- Good knowledge of agile methodologies and tools
- Passion for understanding business challenges and delivering against those challenges
- Previous roles with leading companies in the retail industry are a plus
- Mandatory Skills DATA SCIENCE, MACHINE LEARNING, PYTHON
Additional Qualifications:
- Good experience of working with globally distributed teams in a collaborative and productive manner.
We are looking for an ideal candidate who is: -
- Curious: You stay up to date with the latest technology developments in the data science community, and are excited to enable high-impact outcomes in the face of complex problems and large datasets
- Bold and with a bias for action: You’re a doer, thriving on the challenges of delivering hardened and optimized models as part of production systems
- Pragmatic and focused on results: You like working in a fast-paced environment and making practical trade-offs to test, learn and deploy AI/ML solutions that have material impact on business
- Technically strong and high-performing individual with excellent communication skills, a proven analytical mindset, and customer focus.
- Good storyteller and able to articulate the intricacies of AI/ML to varying audience. In addition, industry knowledge of the retail space, with a keen interest in keeping up to date on the latest happenings in this space.
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 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.
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