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Sr Data Scientist

$114,104 - $143,896/Yr

Jda Software - Dallas, TX

posted 2 months ago

Full-time - Senior
Dallas, TX
Professional, Scientific, and Technical Services

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.
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