Remote Data Jobs · Data Mining

As a Lead Researcher / Data Specialist, you will drive high-quality lead generation by mining and verifying data. You will work with outreach and sales teams to identify opportunities and analyze market trends. You will ensure accurate targeting of key decision-makers and impact the efficiency of outreach campaigns.

This role involves leveraging advanced data science techniques to transform complex data into actionable insights that drive strategic business decisions. You will work across departments to collect, analyze, and interpret large datasets, identifying patterns, trends, and opportunities that enhance products and operational processes. You will be instrumental in shaping data-driven strategies in a dynamic, innovative environment.

As a Senior Data Scientist, you’ll report to the Data Science Manager and work closely with both the Data Science and Engineering teams. You will play a crucial role in developing models for complex parts of our business, analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of current models, collaborating with cross-functional teams to translate insights into actionable solutions.

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.

The Parking Planning and Policy Unit seeks a data-oriented professional with ArcGIS familiarity to support curb management in NYC. The candidate will manage datasets, perform data analysis, and improve data-related processes, including research, data mining, database maintenance, and contributing to ongoing efforts. Duties include updating GIS datasets, performing operational and financial analyses, facilitating cross-division data processes, and building divisional tools. The candidate will cultivate professional development and effectively communicate with stakeholders.