Staff Data Scientist
About The Position
Join Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily. Collaborate closely with sales, product, and engineering teams to spearhead the design and implementation of cutting-edge retail solutions. Helps the team get better technically, mentors junior associates, and keeps customer success in focus, in particular: 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. Technical Environment Operate within a sophisticated technical landscape, utilizing Python 3. and frameworks such as TensorFlow, PyTorch, BigQuery, Apache Beam, Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. Our application architecture follows a scalable, resilient, reactive, event-driven and secure multi-tenant Microservices design, hosted on Google and Azure Cloud.
Requirements
- 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.
Nice To Haves
- Desired knowledge of Kafka, Redis, Cassandra, etc.
Responsibilities
- 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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
