Blue Yonder is looking to solve business problems using machine learning and deep learning models, generating billions of predictions daily, and powering cutting-edge retail solutions.
Requirements
- Proficient in Python programming with a solid understanding of data structures
- Experience with frameworks and libraries like Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib, etc.
- Expertise in a database query language, preferably SQL
- Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization
- Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks
- Solid experience with major cloud platforms, preferably Azure and/or GCP
- Knowledge of modern software development tools and best practices, including Git, Github Actions, Jenkins, Docker, Jira, etc.
Responsibilities
- Designing, developing, and testing new algorithms, models, or solving approaches based on machine learning, operation research, or other techniques
- Develops prototypes and proofs of principles for innovative features
- Integrates new models and algorithms into a product solution
- Mentors team with scientific libraries and development tools
- Develops quality software (including test code) according to clean code principles and Blue Yonder standards
- Considers operational aspects of machine learning services in early design stages and strives for more automation and self-service
- Empowers team members by sharing knowledge and providing hints so they come up with their own solutions
Other
- Bachelor’s Degree in Computer Science or any other related field is required
- Min 5 years of experience with strong foundation in data science and deep learning principles
- Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity
- Collaborate with cross-functional teams to execute data enrichment, cleansing routines, and feature selection
- Lead client meetings, both online and onsite, to discuss new and current functionality