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 Will Do In this role, as a sta f f data scien tist you will own the technical roadmap and architecture for multiple initiatives wit hin the Conversational AI platform.
The responsibilities include:
Partner with key business sta keholders and be a thought leader in the Conversational AI space for driving the development and planning of POCs and p ro duction AI s olution s .
Translate business requirements into strategies, initiatives, and pro jects. Align these with business strategy and objectives . Drive the execution of the deliverables.
Design, build, test and deploy cutting edge AI solutions at scale, impacting millions of customers worldwide.
Lead multiple initiatives within the platform, with focus on efficiency, innovation, and leverage.
Collaborate with the applied scientists, ML engineers, software engineers and pro duct managers to develop next generation of AI assi sta nt experiences.
Be up-to date on industry trends in the latest Generative AI, Speech/Video processing and AI assistant architecture patterns ( eg agent chaining, COT, RAG, LLM guardrails etc)
Pro vide technical leadership, guidance and mentorship to highly skilled and motivated data scientists in the team.
Lead innovation and efficiency through the complete pro blem - solving cycle , from ap pro ach to methods to development and results.
Partner and engage with associates in other regions for delivering the best services to customers around the globe .
Pro actively participate in the external community to strengthen Walmarts brand and gain insights into industry practices.
Drive innovation in the charter and publish research in Rank A+ AI conferences like ICML, AAAI, NIPS, ACL, etc.
What You Will Bring
Masters with 8 + years or Ph.D. with 6 + years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or related area.
Strong track record in a data science tech lead role ( 4 + years), with deployment of large-scale AI services.
Extensive experience in the design, development, and delivery of AI pro ducts with a large customer base, preferably in c onversational AI, speech, vision or machine learning based systems.
Strong experience in machine learning: Gen AI, NLP, Speech pro cessing, Image pro cessing, Classification models, regression models, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Sta tistical Learning, and experimentation.
Extensive e xperience building and deploying GenAI /Deep learning models for real-time inferencing/streaming applications.
Deep and demonstrated personal interest in generative AI space including awareness of latest architectural advancements in building generative AI applications.
Excellent decision-making skills with the ability to balance conflicting interests in a complex and fast-paced environment.
Deep experience in simultaneously leading multiple data science initiatives end to end - from translating business needs to analytical asks, leading the pro cess of building solutions and the eventual act of deployment and maintenance .
Thorough under sta nding of distributed technologies, public cloud technologies, scalable platforms, ML- platforms and Operational Excellence.
Experience working with geographically distributed teams.
Business acumen; combining technical vision with business insights.
R esearch acumen ; with papers published in top tier AI conferences like AAAI, NIPS, ICML, KDD, etc.
Strong e xperience with big data platforms - Hadoop (Hive, Map Reduce, HQL, Scala) .
Strong e xperience in Python and Java.
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.
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.
Job Classification
Industry: RetailFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time