Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

• Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing and A/B testing.
• Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
• Work with data scientists and analysts to create and deploy new product features on the ecommerce website, in-store portals and the Levi’s mobile app
• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
• Write efficient software to ship products in an iterative, continual-release environment.
• Contribute to and promote good software engineering practices across the team.
• Contribute to and re-use community best practices.

Example Projects

Here are some specific projects you will work on and contribute to:

• Personalized in-session product recommendation engine
• Customer Segmentation
• Automated text summarization and clustering
• Next-Best offer prediction
• Design Micro-assortments for Next-Gen stores
• Anomaly detection and Root Cause Analysis
• Unified consumer profile with probabilistic record linkage
• Visual search for similar and complementary products

Requirements:

• University or advanced degree in engineering, computer science, mathematics, or a related field
• 3+ years experience developing and deploying machine learning systems into production
• Experience working with a variety of relational SQL and NoSQL databases
• Experience working with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with at least one cloud provider solution (AWS, GCP, Azure)
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Experience working in a Linux environment
• Knowledge of data pipeline and workflow management tools
• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
• Relevant working experience with Docker and Kubernetes is a big plus

We offer:

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Medical insurance
• Benefits program
• Corporate social events

NB:

• Placement and Staffing Agencies need not apply. We do not work with C2C at this time.