Data Science Manager Jobs

SR ENGINEER, DATA,SMAI — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Senior/Staff, Data Scientist — Fab 10A, Singapore. Apply via Workday.

Sr. Data Management Specialist — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Sr. Data Scientist, SMAI — Fab 10A, Singapore. Apply via Workday.

MANAGER, DATA ENGINEERING — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Sr. Principal Data Center Solutions Architect — 3 Locations. Apply via Workday.

Product Marketing Manager, Data Center — San Jose, CA. Apply via Workday.

AI, Data & Digital Solutions Internship (Singapore) — 3 Locations. Apply via Workday.

Sr. Data Python Engineer - FreeWheel — 2 Locations. Apply via Workday.

Engineer 3, Data Engineer — India - Chennai, Comcast India Engineering Cent. Apply via Workday.

Sr. Data Engineer - Reston, VA - Freewheel — VA - Reston, 11951 Freedom Dr Ste 900. Apply via Workday.

Senior Advisor, Data Business Process Effectiveness – Comcast Global Audit — PA - Philadelphia, 1701 John F Kennedy Blvd. Apply via Workday.

Product Manager, Data Platform (Beeswax) — NY - New York, 1407 Broadway Floor 12. Apply via Workday.

Lead Site Reliability Engineer, Data- FreeWheel — VA - Reston, 11951 Freedom Dr Ste 900. Apply via Workday.

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve. A snapshot of projects you will work on: - Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.) - Integration with ML training and data sources - Stability an