Senior Manager II, Data Science

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...

Personalization team at Walmart is dedicated to the mission of knowing our customers better and making it frictionless and faster for them to get what they want while building a trusted partnership with Walmart. We help bring a seamless experience to our customers irrespective of how and where they engage with us – while shopping online or picking groceries at stores. We thrive to provide each customer with a journey tailored to their individual needs, preferences and routines. We operate at the intersection of huge Walmart assortment, millions of customers, thousands of stores and Walmart associates - a multi-layer multi-objective problem space which has a unique impact on Global customer base and powers assisted AI for our associates.

The Personalization team consists of big data geeks, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will enable 1:1 personalized customer experience, from finding the product to delivering it to the customer. We are building state-of-the-art probabilistic models and engineering marvels to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction and knowledge representation. This will span many markets, business models and form factors; therefore, we are looking for scientists and engineers who will bring not only an abundance of experiences in technologies, but an abundant curiosity to innovate.

You’ll make an impact by:

• Research and develop novel data-driven capabilities to power Personalization and Recommendation experiences across site, app, stores, voice commerce.
• Work closely with business and product stakeholders to define strategy, vision and roadmap for top initiatives in Personalization and Recommendations.
• Lead a team of talented data scientists, machine learning engineers and analysts to design, implement, test and launch omni-channel personalized experiences.
• Actively contribute to research community through participation at conferences, seminars, workshops, university relations.
• Collaborate with team leads to deliver end-to-end scalable architecture for cross-functional projects.
• Lead and innovate in building state-of-the-art algorithms and machine learning systems to ingest, analyze and serve terabytes of customer data from various Walmart channels.
• Lead, mentor and grow team members while working in an agile environment.
• Actively propose, review and present technical solutions including architecture design, implementation details and customer and business impacting KPIs.

You are well suited for this position if:

• You’re experienced with traditional, as well as modern machine learning/statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning.
• You have previous experience with large-scale multi-objective recommender systems.
• You have strong development experience with at least one programming language (Python or Java preferred).?
• You have strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platform.?
• You have 2+ years of experience mentoring junior data scientists or machine learning teams.
• You have strong written and oral communication skills.
• You have a Ph.D. with 3+ years of experience or amaster’s degree with 5+ years of experience in a computational science discipline with an emphasis on Machine Learning or Data Mining.
• You have experience working on ranking, online advertising, recommender systems, ecommerce or relevant areas.?
• You’re experienced with end-to-end modeling projects emerging from research efforts.
• You have an excellent industrial or academic track record of proposing, conducting, and reporting results of original research, plus collaborative research with publications.?