Seeking a detail-oriented Data Scientist with strong analytical skills. Supports legal and regulatory requests by analyzing integrity, ads, and platform data. Collaborates with Legal, Integrity, Product, Engineering, and other partners to gather data and interpret findings to support investigations. Executes analyses to answer complex questions related to litigation, compliance, and internal risk. Communicates findings clearly to both technical and non-technical stakeholders.
Research and analyze risk patterns occurred on Binance platforms, using data driven thinking and quantitative analysis methodologies to identify, measure, contain and mitigate risks (e.g. fraud trading, spam registration, account takeover, card acquiring risk and payment fraud). Deploy, monitor and assess the effectiveness and stability of variables, rules and models, maintain and iterate the rules/strategies regularly to improve key risk matrix.
As Senior Database Administrator & Data Architect, you’ll be the technical owner for Spreetail’s database infrastructure, leading operations, performance optimization, modernization strategy, and cross-functional enablement of high-value data use cases. You will manage and optimize SQL Server, Postgres, and MongoDB databases across AWS and collaborate across teams to align database design with analytics goals.
This role will take direction from the Information Team Director and will be responsible for contributing to the continuous advancement of a modern data lakehouse built to support a rapidly growing firm’s desire to democratize its data asset. Responsibilities include leading influence and consensus building efforts for recommended solutions and translating requirements into effective data models.
We’re looking for an AI/ML Evaluation Engineer to drive the accuracy, reliability, and performance of next-generation AI systems. You’ll build evaluation pipelines, metrics, datasets, and automation that ensure model outputs are consistent, safe, and aligned with real-world expectations. This role is fully technical and highly collaborative, working closely with AI engineers, QA, data scientists, and product leaders.
Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data. The role includes building an organic entity resolution framework and developing CI/CD pipelines and anomaly detection systems. You will be dreaming up solutions to largely undefined data engineering and data science problems.
We are looking for a talented and motivated person to act as a Data Developer, integrating with our team and contributing to the construction of scalable and intelligent solutions for large volumes of data. Responsibilities include designing, developing, and maintaining scalable and robust data pipelines, creating ingestion, transformation, and data modeling solutions using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
Looking for a Lead – Data Engineer I to join the product development team in India. This is a hands-on technical leadership role that combines deep expertise in data engineering with strong software development skills. You will lead the design and implementation of data platforms, APIs, and pipelines that are scalable, secure, and aligned with modern software architecture principles.
Seeking an AI Researcher who will help translate the latest machine learning research into practical, domain-specific proofs of concept (POCs). Working on the CivCheck platform, you will be at the forefront of building and experimenting with cutting-edge models across computer vision, large language models (LLMs), multi-modal learning, and agentic AI workflows.
Build a world‑class data and analytics platform that will reshape automotive retail. You’ll lead the engineering discipline that powers our data lake, warehouse, real‑time clickstream, and applied AI—turning large‑scale data into trusted, high‑impact products our customers use every day.