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Lead a data-science team to build and deploy ML models that power billions in credit decisions, improving outcomes for customers and the business.
Senior Data Scientist builds and deploys machine learning models to make lending decisions for a fintech company, using Python and PyData tools.
Build high-performance trading systems and analytical tools in Python for internal use, collaborating closely with traders and researchers to develop scalable applications and data-driven solutions.
Quantitative developer at a proprietary trading firm who owns the full path from research to production: building simulation/backtesting infrastructure, feature and signal pipelines, and helping optimize strategies. Core stack is Python (pandas/polars) with strong statistics, time-series, and ML applied to systematic trading.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
Lead a small data engineering team at Ravio while staying hands-on building and operating the data pipelines, integrations, and platform behind its compensation benchmarks, customer tools, and AI agents. Core stack: Python, SQL, dbt, dlt, and GCP (BigQuery, Cloud SQL, Pub/Sub) with Terraform and GitHub Actions.
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world's leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation…
Data Engineer at Skydropx, a LATAM logistics innovator, who collects, cleans, and transforms data from databases, CSVs, and APIs and builds automated ETL pipelines. Core stack: Python, advanced SQL, BigQuery, Matillion, SQLMesh, and Airflow. Role is 100% remote with a Monday–Friday 8:00–18:00 CST (Mexico) schedule.
Skydropx is hiring a data engineer to lead data collection, cleaning, and transformation — building ETL pipelines with Matillion and SQLMesh, integrating APIs, and optimizing BigQuery queries with emphasis on observability and large data volumes. Requires strong Python and SQL, NumPy/Pandas/Polars, and relational and non-relational database experience.
Build and productionise ML pipelines, tooling, and data workflows for sports betting analytics and trading systems using Python and modern ML libraries.
Option, a Latin American data & analytics consultancy with ~20 years in the market, is hiring a mid-to-senior Data Scientist to design, develop, and deploy end-to-end analytics and ML solutions that drive product and business decisions, occasionally mentoring other data scientists. Core stack: SQL, Python (Pandas, scikit-learn), BigQuery, MLflow, Docker, and Looker Studio.
Engineering Manager - Data Intelligence About trawa European energy costs are 2x compared to US and China. Electricity demand is expected to double by 2050. Market price volatility & complexity are here to stay.…
📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our…
Builds and maintains data pipelines, models, and dashboards for hardware test telemetry and incident data, turning raw test records into actionable insights for defense systems.
Upstream Security, an automotive cybersecurity company, seeks a Senior Data Scientist in Herzliya to build prediction and anomaly-detection models over large streaming automotive datasets, using Python-based ML/DL tooling (Scikit-learn, TensorFlow, PyTorch) and SQL to support its cloud-based vehicle security and data platform.
Data analyst in Sberbank's internal audit planning team: builds BI reporting and data marts on Qlik Sense, writes SQL queries against data warehouses, develops methodology guides, and creates/supports internal Python services while automating processes. On-site in Yekaterinburg, fixed-term contract with a chance to convert to permanent.
Data Engineer role in Quebec, Canada, hired via FED IT (an IT recruitment agency) for a growing e-commerce leader. Day to day involves Python data development, advanced SQL, cloud platforms (AWS/Azure/GCP), Big Data and MLOps workflows, on a hybrid schedule of 3 days in office and 2 from home.
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation…
Senior Data Scientist at Artefact's London office, designing and deploying machine learning solutions for consulting clients while owning project delivery, mentoring team members, and presenting to stakeholders. Core stack includes Python (Polars/PySpark), MLOps pipelines, and cloud platforms (AWS/Azure/GCP) with Terraform and CI/CD.
Data Engineer at Skydropx, a LATAM logistics platform, collecting and transforming data from databases, CSVs, and APIs, and building automated ETL pipelines with tools like Matillion, SQLMesh, Python, SQL, and BigQuery. Fully remote, working Monday–Friday 8:00–18:00 CST (Mexico).
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