You'll play a key role in shaping our products and decisions by working across product, engineering, and commercial teams to ensure data is at the center of everything we do. Mine and analyze large datasets to inform product development, marketing strategies, and business processes. Build predictive models that optimize customer experiences, operational efficiency, and revenue growth.
Build a high-impact Talent Pool for advanced analytics, AI, and enterprise data platforms if you’re a LATAM-based Data Scientist with strong English. Solve complex problems using Python, R, SQL, Machine Learning, statistical modeling, forecasting, and cloud-based data ecosystems. The ideal candidate will have experience building predictive/prescriptive models, strong communication skills in English, and a passion for experimentation.
We are seeking a Data Scientist to join our team at BMG Money. This role is crucial for transforming large, complex datasets into strategic insights that drive decision-making across various functions. The successful candidate will be responsible for independently developing, validating, and supporting the implementation of predictive models, machine learning algorithms, and advanced dashboards. This role requires strong technical mastery and the ability to work collaboratively to deliver solutions.
This pivotal role is designed for an emerging professional with experience and possesses a robust interest in public markets, business dynamics, and sophisticated financial analysis. You will act as the primary quantitative auditor of our proprietary SaaS platform's business estimates and investigate discrepancies between internal forecasts and publicly reported data, impacting core product and client messaging.
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.
In this role, you will analyze sales data, create insightful reports, and provide strategic recommendations to enhance sales performance and driving data-driven insights and initiatives to optimize sales performance and efficiency. This role involves interpreting complex data sets, identifying trends, and collaborating with cross-functional teams to optimize processes. Strong analytical skills and the ability to communicate findings effectively are essential.
This internship supports the Data Science team and offers hands-on experience in data science and statistical analysis within clinical or biomedical research settings. Interns will contribute to the development of machine learning models and assist in summarizing results and drafting manuscripts. You will have the opportunity to work closely with staff across departments and contribute to impactful research.
The Analytics Consulting position will provide client consultation for analytical consulting engagements, including decision tool and strategy implementation and monitoring, statistical scoring validation, business intelligence, data quality, and analytical product / solution development for consumer solutions. Topics include optimization strategies, model development and usage and business intelligence consulting around portfolio profiling, market share and credit risk analysis. This is a fully remote position.
Assist the opposition research team with coding and data analysis to update research methods. Support candidate research, monitor news clips, and transcribe interviews. Typical responsibilities include assisting in market research, developing scrapers, and recognizing fundraising patterns.