- Pay range - $65 to $80/hr
- The Enterprise Data Management & Analytics team supervises the platform and data management capabilities that enable analytics, data engineering, and data science across the company.
- Our client is always finding new ways to automate and speed up the development of products using cutting-edge software and hardware technologies.
- We utilize the latest AWS technologies and big data strategies, building distributed, highly reliable systems to reach our objectives.
- We are seeking exceptional Data Scientists who enjoy engaging with our clients, collaborating within a team, and proactively taking initiative.
- This position will facilitate deriving value from machine learning, leading to a measurable improvement in the delivery of spacecraft and systems, influencing the design, execution, and deployment of successful, large-scale systems and services.
- The Data Scientist establishes new development tools and infrastructure to support the Client
- Creating, developing, and maintaining efficient, reusable, and tested code in Python and other relevant programming languages and libraries
- Focusing on automating and enhancing development and release processes
- Implementing Machine Learning solutions into extensive production environments
- Advancing knowledge in AI and computer vision on an ongoing basis
- Reviewing and evaluating code authored by colleagues and analyzing outcomes
- Identifying technical issues and developing software updates and solutions
- Collaborating with data scientists and software engineers to ensure development adheres to established protocols and functions as intended
- Sharing insights on performance, scalability, enterprise system architecture, and engineering best practices
- Our client is in search of a skilled Data Scientist to utilize their technical proficiency, leadership abilities, and dedication to excellence to positively impact the safety of human space travel. A strong passion for our mission and vision is essential
- 3+ Years of Experience in a Data Scientist or Statistician Position
- Demonstrated proficiency in Python, R, or Scala
- Experience with MLOps strategies in Azure, AWS, or GCP
- History of mentoring Junior Data Scientists and overseeing entire data science projects from start to finish
- Proven track record of developing and deploying statistical/machine learning techniques leading to significant business impacts
- Familiarity with git/version control and build/release pipelines
- Solid theoretical and practical knowledge in NLP, including expertise in innovative LLM architectures optimized for handling extensive contexts with minimal inference costs
- Competence in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly utilized in NLP and Generative AI
- Dedication to quality and customer satisfaction, with attention to detail and abstract thinking capabilities
- Bachelor's or Master's Degree in Computer Science or related field, or equivalent experience matching educational requirements
- Ability to build trust, foster positive professional relationships, and enhance our culture of inclusivity
- Proficiency in RDBMS and Big Data environments like Databricks
- Understanding of professional software development methodologies for the entire software creation process, encompassing coding standards, code reviews, source control management, build processes, testing, and operations
- Background in distributed computing, service-oriented architectures, and large-scale systems
- Experience collaborating with end-users, other technical teams, and senior management to gather requirements and outline software product functionalities, technical designs, and product strategies
- Medical, Vision, and Dental Insurance Coverage
- 401k Retirement Plan
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Data Scientist - Seattle, United States - GTT, LLC
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Description
Job Description
Data Scientist (Hybrid)
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