Staff Data Scientist
Mission Lane147,000 - 179,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data ScienceIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 3 years of experience in data engineering, with a focus on machine learning systems. Strong proficiency in Python, SQL, and experience with AI/ML frameworks are essential, as is familiarity with big data processing and distributed computing environments.
Responsibilities
The Staff Data Engineer will be responsible for designing and building end-to-end large-scale ML systems for forecasting, classification, regression, and predictive modeling, developing scalable ML pipelines, leveraging advanced time series analysis, building efficient ML models for real-time inference, collaborating with cross-functional teams, driving research and innovation in machine learning techniques, and designing agent-based systems for autonomous decision-making and workflow automation.
Skills
Python
SQL
AI/ML frameworks
Big data processing
Distributed computing
MLOps
Time series analysis
Classification techniques
Feature engineering
Deep learning
Transformers
LLMs
Statistical modeling
Core Scientific
Bitcoin mining and hosting solutions provider
About Core Scientific
Core Scientific focuses on bitcoin mining and digital infrastructure, providing hosting solutions and developing infrastructure for high-value digital applications. The company uses specialized computers called Application Specific Integrated Circuits (ASICs) to solve cryptographic algorithms that validate transactions on the Bitcoin Network. Core Scientific differentiates itself by quickly deploying optimized infrastructure, catering to a diverse clientele from individual miners to large institutional investors. Its goal is to support the growth of digital assets and blockchain technology in the North American market.
Key Metrics
Austin, TexasHeadquarters
2017Year Founded
$75.9MTotal Funding
IPOCompany Stage
Crypto & Web3, AI & Machine LearningIndustries
201-500Employees