Sr Data Scientist

About the position

Blue Yonder is seeking an expert Data Scientist with a strong technical foundation to join their engineering team. This hybrid role requires hands-on involvement in the development and deployment cycle, focusing on data science and machine learning best practices. The ideal candidate will collaborate with cross-functional teams to enhance data processes and lead initiatives that drive innovation within the company.

Responsibilities

• 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.

Requirements

• Bachelor's Degree in Computer Science or a related field.
• Minimum 7 years of experience with a 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 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.
• Familiarity with deep learning, time series, NLP, reinforcement learning, and combinatorial optimization.
• Proven experience in team leadership, mentoring junior data scientists.

Nice-to-haves

• Desired knowledge of Kafka, Redis, Cassandra.

Benefits

• 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.