Hiring for multiple roles.
Traditional forecasting breaks under petabytes of features, megabytes of labels, and time-varying noise. Our breakthrough research is foundational in the field: generating industry-beating results (MIT News). Our predictive engines combine a wide variety of data through rigorous scientific process. We leverage alternative datasets (consumer transactions, geolocation, etc) along with private, public, external, and internal data.
The Data Platform is a critical component in our scientific approach to forecasting. The role will require everything from high-level architecture design to performant implementation.
Responsibilities include:
- Build distributed systems supporting complex transformations over petabyte-scale data
- Design, implement, and maintain production cloud data pipelines for complex, disparate datasets
- Work closely with our Quants and Applied Scientists to support rigorous scientific process, rapid experimentation, and new product initiatives
Required qualifications:
- Bachelor’s or advanced degree in Computer Science, math or equivalent
- 3+ years of experience in data engineering or related fields with a track record of building (coding) and scaling a data platform
- 2+ years of industry experience building ETL pipelines in a major cloud provider
- Highly proficient in python and SQL
- Advanced knowledge of databases, design patterns, OOP, and concurrency
- Knowledge of data management fundamentals and data storage principles
- Passion for intuitive data models
- Experience communicating with senior management as well as colleagues from engineering, analytics, and business backgrounds
- Experience with AWS, orchestration platforms, and modern tech stacks
- Strong software engineering fundamentals: system design, algorithms, data structures
Nice-to-haves:
- Experience building systems that integrate LLMs with large-scale data processing
- Working understanding of basic probability and statistics
- Experience implementing ML models
- Experience with DBT
- MS or PhD in STEM field
In-person at our NYC office strongly preferred. Remote candidates who can spend some time in-office (e.g., monthly) will also be considered.
Benefits:
- The salary range for this position is $145,000-$220,000
- Free health, vision, dental insurance
- 401k with match
- Unlimited PTO + 13 company holidays
- Daily Grubhub lunch stipend
- Pre-tax commuter benefits
Top Skills
What We Do
Covariance delivers previously-impossible insights by combining our breakthroughs in machine learning with external data. We deliver a 360° view into any public or private company — as if you’re the CEO. Building on our MIT research, we are pioneers in data-efficient learning. Our patent-pending platform pushes the bounds of insights that machine learning can deliver when limited ground truth exists.
