Staff Data Scientist

• Is responsible for designing, developing, and testing new algorithms, models, or solving approaches based on machine learning, operation research, or other techniques to solve a Blue Yonder business problem with little or no supervision
• 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 to reduce operational efforts for themselves and the team
• Empowers team members by sharing knowledge and providing hints so they come up with their own solutions
• Leads by example
• As Staff Data scientist, you will be a guiding the team in the implementation of machine learning models and deep learning tools
• Collaborate with cross-functional teams to execute data enrichment, cleansing routines, and feature selection
• Evaluate candidate models, select the final model, and report on test performance
• Ensure proper runtime deployment of models and implement runtime monitoring for continued model stability
• Drive collaboration with product, sales, and engineering teams to shape the final solution
• Utilize data to understand patterns, formulate and test hypotheses, and iterate as needed
• Play a key role in preparing sales materials and estimating hardware requirements
• Lead client meetings, both online and onsite, to discuss new and current functionality

• Bachelor’s Degree in Computer Science or any other related field is required
• Min 8 to 10 years of experience with strong foundation in data science and deep learning principles
• 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.
• Proven experience in team leadership, mentoring junior data scientists in an official or unofficial capacity

Desired knowledge of Kafka, Redis, Cassandra, etc.

• Comprehensive Medical, Dental and Vision
• 401K with Matching
• Flexible Time Off
• Corporate Fitness Program
• A variety of voluntary benefits such as
• Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more