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Cientista de Dados SR
Senior Data Scientist at ANBIMA (Brazilian financial-market association) building ML and generative-AI solutions end-to-end for its data products — prototyping predictive models, integrating LLMs/RAG, and monitoring models in production. Core stack: Python (pandas, NumPy, scikit-learn), SQL, Git; hybrid role based in São Paulo.
Ingénieur/Ingénieure R&D en IA et modélisation statistique (H/F)
R&D engineer in AI and statistical modeling for NOA Autism Assistant, a digital tool supporting vulnerable people (notably autistic individuals). Day to day: translating needs into modeling problems, preparing data, building and comparing ML classification methods, prototyping in Python, evaluating and documenting models. Stack: Python, NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, Git.
Quantitative Developer - Python
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.
Data Platform Operations Engineer – Performance
Maintain and optimize data pipelines and ETL workflows for a trading firm’s performance analysis systems using Python, PySpark, and GitLab CI/CD.
Python Software Engineer
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.
Data Scientist
Data Scientist building and validating credit-scoring PD and anti-fraud models for a multibank consumer-lending platform. Day-to-day: SQL data extraction, Python-based model development/monitoring using classical ML (logistic regression, CatBoost/XGBoost/LightGBM). Remote role based in Moscow.
Data Science Internship, Summer 2027
Onsite Summer 2027 Data Science internship at Perpay in Philadelphia: the intern researches and builds features, models, and analyses for credit decisioning, loss forecasting, marketing attribution, and experimentation, working hands-on with Python (scikit-learn, pandas, statsmodels), SQL, and Redshift alongside Risk, Marketing, and Finance stakeholders.
ANALISTA DE DADOS PLENO II
Mid-level data analyst on the Data, Reports & Analytics team, turning raw customer data into actionable insights: analyzing customer bases (LTV, churn), measuring campaign ROI via A/B tests and control groups, building RFM/behavioral segments, and automating SQL/Python-powered reports and dashboards.
Measurement Data Scientist
Analyze advertising performance metrics using SQL and Python to uncover insights from attribution, incrementality, and MMM studies, then translate findings into strategies that improve campaign effectiveness and ROI.
Energy Data Scientist
EnergyHub is hiring an Energy Data Scientist to build M&V methodologies and data science models that evaluate grid services from fleets of distributed energy devices (thermostats, EVs, batteries). Day to day you'll write production Python, apply ML to energy IoT data, and work with SQL, Snowflake/dbt and BI tools.
Analista de Dados Jr - Assistência Técnica - Joinville/SC
Junior data analyst in Britânia's technical assistance/after-sales team in Joinville, SC. Day to day: collect, clean and structure operational databases, build automated ETL flows and SQL queries, maintain Power BI dashboards, and support AI-driven workflows using LLMs and OCR.
Data Analyst, Stewardship
Data Analyst on DRW's Data Management team providing production support for end-of-day valuation and reference data used in PnL at a proprietary trading firm. Day to day: monitoring data pipelines, troubleshooting financial instrument data via a global Slack/email support queue using SQL, Python, and Bloomberg tooling, and partnering with engineering on systemic fixes.
Working in Technology (WiT) Data Science - Summer 2027
A 12-week Summer 2027 internship in Chicago for graduate students from underrepresented backgrounds in tech, working on data science, machine learning, generative AI (RAG, LLMs), and data engineering projects supporting business use cases. Core stack includes Python/R, SQL, Azure cloud, Spark, and ML/NLP frameworks.