Covariance.ai
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
To apply for this job please visit job-boards.greenhouse.io.
Explore Covariance.ai online
Working in New York, NY
New York, often called New York City (NYC), is the most populous city in the United States. It is located at the southern tip of New York State on New York Harbor, one of the world's largest natural harbors. The city comprises five boroughs—Manhattan, Brooklyn, Queens, the Bronx, and Staten Island; each is coextensive with its respective county. It is the geographical and demographic center of both the Northeast megalopolis and the New York metropolitan area, the largest metropolitan area in the United States by both population and urban area. New York is a global center of finance and commerc
Market context
- Similar listings in New York 1
- 90-day posting trend down 100%
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Keep exploring on Get A Job.ai
Not quite the right fit? Your next opportunity is a click away.
- Browse all jobs
- More jobs by category
- Remote jobs you can do from anywhere
- Research typical pay for this role
- Set a job alert so new matches reach you first
- Upload your resume to apply faster
Hiring instead? Post a job and reach candidates searching right now.