Data Scientist
3 weeks ago
Data Scientist (Hybrid)
- 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
24-06331
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