Data Scientist

Staff Data Scientist page is loaded## Staff Data Scientist locations:
Dallas time type:
Full time posted on:
Posted Yesterday job requisition :
254531
** Role:
Staff Data Scientist ( This is a Senior role)  Location :
Dallas, TX ( Hybrid role , NO Remote option)
**** Overview:
** 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 Tensor Flow, PyTorch, Big Query, Apache Beam,Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. Our application architecture follows a scalable, resilient, reactive, event-drivenand secure multi-tenant Microservices design, hosted on Google and Azure Cloud.
** 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.
*
* Qualifications:

**- 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, Num Py, Keras, Tensor Flow, 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.

Synomym title :
Staff Software Engineer#LI- SR1#LI-LOCAL-------------------------------------------The annual salary range for this position is $ - $The salary range information provided, reflects the anticipated base salary range for this position based on current national data.  Minimums and maximums may vary based…