Pay range - $65 to $80/hr
Job Summary:
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 constantly innovating in the ways we are automating and accelerating the creation of products using innovative software and hardware technologies.
Our client uses the latest AWS technologies and big data approaches, and the Client builds distributed, highly available systems to achieve our goals.
Our team is looking for outstanding Data Scientists who love listening to our customers, working as a team, and proactively taking the lead.
This role will enable value capture from machine learning that will have a measurable impact on the delivery of rockets and systems! Influence the design, implementation, and deployment of successful, enterprise-scale systems and services.
Job Responsibilities:
The Data Scientist builds and sets up new development tools and infrastructure to support the Client
Designing, building, and maintaining efficient, reusable, and tested code in Python and other applicable languages and library tools
Working on ways to automate and improve development and release processes
Deploying Machine Learning (Client) to large production environments
Working towards continuous learning in the AI and computer vision fields
Testing and examining code written by others and analyzing results
Identifying technical problems and developing software updates and 'fixes'
Working with data scientists and software engineers to ensure that development follows established processes and works as intended
Share knowledge in performance, scalability, enterprise system architecture, and engineering standard methodologies
Our client is looking for a Data Scientist to apply their technical expertise, leadership skills, and commitment to quality to impact safe human spaceflight positively. Passion for our mission and vision is required!
Job Qualifications:
3 Years of Experience Working in a Data Scientist or Statistician Role
Proven expertise in Python, R or Scala
Expertise leveraging MLOps methodology in Azure, AWS, or GCP
Experience coaching Jr Data Scientists and leading complete data science projects end-to-end
Demonstrated experience in developing and deploying statistical learning/machine learning techniques with significant business outcomes
Expertise with git/version control and build/release pipelines.
Strong theoretical and practical background in NLP including experience with innovative LLM architectures optimized for handling large contexts and low inference cost
Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI.
Obsession with quality and customer experience - attention to detail coupled with the ability to think abstractly
Bachelor's or Master's Degree in Computer Science or a related field, or experience commensurate with education requirements.
Ability to earn trust, maintain positive and professional relationships, and strengthen our culture of inclusion
Desired Qualification:
Expertise in RDBMS and Big Data environments such as Databricks
Knowledge of professional software development methodologies for the full software creation process, including coding standards, code reviews, source control management, build processes, testing, and operations.
Background in distributed computing, service-oriented architectures, and enterprise-wide systems.
Experience partnering with users, other technical teams, and senior management to collect requirements, and describe software product features, technical designs, and product strategy.
Benefits:
Medical, Vision, and Dental Insurance Plans
401k Retirement Fund
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