Senior Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

What you'll do...

The Cortex team is the core A.I. platform powering the vision of delivering the world’s best intelligent personal assistants to Walmart’s customers, accessible via natural voice commands, text messages, rich UI interactions, and a mix of all of the above via multi-modal experiences.

We believe conversations are a natural and powerful user interface for interacting with technology and enable a richer customer experiences – both online and in-store. We are building and designing the next generation of Natural Language Understanding (NLU) services that other teams can easily integrate and leverage, and build rich experiences: from pure voice and text shopping assistants (Siri, Google Assistant, Text to Shop), to customer care channels, to mobile apps with rich, intertwined, multi-modal interaction modes (Me@Walmart).

Interested in diving in?

We need passionate and seasoned NLU data-scientists to help us improve and evolve our capabilities, taking into account the full conversational context, multi-modal interactions, and an ever increasing list of use cases.

Come at the right time, and you will have an enormous opportunity to make a massive impact on the design, architecture, and implementation of an innovative, mission critical product, driven by data-science, used every day, by people you know, and which customers love.

As part of the emerging tech group, you will also have the additional opportunity of building demos, proof of concepts, creating white papers, writing blogs, etc.

Here are some of our team publications:

• Blog Posts
  • “Building a conversational assistant platform for voice-enabled shopping” https://medium.com/walmartglobaltech/building-a-conversational-assistant-platform-for-voice-enabled-shopping-6d174cdc4131
  • “Using Context to Improve Intent Classification in Walmart’s Shopping Assistant” https://medium.com/walmartglobaltech/using-context-to-improve-intent-classification-in-walmarts-shopping-assistant-28f62d40fd17
  • “Making Walmart’s Shopping Assistant Proactive” https://medium.com/walmartglobaltech/making-walmarts-shopping-assistant-proactive-53a1764fcdee
• Papers & Talks
  • Semantic Representation and Parsing for Voice eCommerce (Paper and Talk) - Vivek Kaul, Shankara B Subramanya, R2K Workshop at KR 2018
  • Knowledge Graphs for AI-Powered Shopping Assistants, GraphConnect 2020, Ghodrat Aalipour, Mohammed Samiul Saeef https://graphconnect2020.sched.com/event/atkC/knowledge-graphs-for-ai-powered-shopping-assistants
  • Improving Intent Classification in an E-commerce Voice Assistant by Using Inter-Utterance Context (Paper + Talk) - Arpit Sharma, e-Commerce & NLP at ACL 2020 https://www.aclweb.org/anthology/2020.ecnlp-1.6/

Minimum Qualifications

• Experience with Python; solid knowledge SQL.
• Hands on experience with classical ML models, test/train/evaluation metrics, key parameters/techniques that affect model performance
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets.
• Familiarity and ideally experience with more recent deep ML models and NLU (e.g., Transformers, BERT, Electra, T5).
• A business analytical mind; ability to communicate with consumers of the model and present results in intuitive ways.
• Experience analyzing data to identify patterns and conducting error/deviation analysis; passion for fixing issues in the data and finding the optimal representation.
• Ability to take a project from scoping requirements through actual launch.
• A continuous drive to explore, improve, enhance, automate, and optimize models and products.
• Excellent oral and written communication skills.
• Bachelor’s degree or certification in Machine Learning, Computer Science, Engineering, Mathematics, Statistics or any other related field.

Preferred Qualifications

• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Strong attention to detail and exceptional level of organization
• Proven ability to achieve results in a fast paced, highly collaborative, dynamic work environment
• Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.
• PhD in a relevant field (Machine Learning, Computer Science, Engineering, Mathematics, Physics, Statistics or a related field)

Benefits & Perks

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(K) match, stock purchase plan, paid maternity and parental leave, PTO multiple health plans, 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.