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The purpose of this role is to lead and manage customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients. Key responsibilities: Integrates…
Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for…
Data Scientist at a fintech lender building and deploying machine learning models for risk, underwriting, and product optimization. Day to day: developing ML models and automated pipelines (Airflow, Docker), feature engineering from time-series data, monitoring production models (SHAP, stability metrics), and building dashboards — primarily in Python and SQL.
AbbVie is seeking an experienced Senior Data Scientist to join our Analytics & AI organization and help advance the next generation of Copay Intelligence capabilities. This role will focus on developing innovative…
Senior Data Scientist at Agibank, a Brazilian fintech, developing and monitoring ML/statistical models for credit decisions and fraud prevention. Works with Python/R, SQL, Spark, and algorithms like XGBoost and LightGBM to drive business impact in a data-driven team.
Principal ML engineer at DoorDash leading the technical direction for AI-first ads ranking and relevance systems — designing sequence models, deep learning, and LLM-powered decisioning for real-time ad selection and personalization. Owns the full model lifecycle from research to production using Python/Java/C++ and frameworks like PyTorch.
Senior Staff ML Engineer on DoorDash's Ads & Promos Delivery team, setting technical direction for AI-first ads ranking and relevance systems — applying sequence modeling, deep learning, and LLMs to personalization and query understanding, and owning the full model lifecycle from research through production at marketplace scale.
Data Scientist III on Inter's Growth/CRM data science team in Belo Horizonte, building statistical analyses, end-to-end machine learning models, and experiments to deliver hyper-personalized customer experiences for Brazil's first digital bank's financial super app. Core stack: Python, SQL, Apache Spark.
Builds and deploys production machine learning systems at Reddit, powering personalized recommendations, search ranking, and advertising across Consumer and Ads teams. Works end-to-end on the ML lifecycle using Python/Java/Go, PyTorch/TensorFlow, large-scale data pipelines, and LLM/GenAI techniques.
Builds and deploys production machine learning systems at Reddit — powering personalized recommendations, search, ads ranking/bidding, and LLM-driven features — owning the full ML lifecycle from feature engineering through serving and monitoring at internet scale. Core stack: Python/Java/Go, PyTorch/TensorFlow, and large-scale data tooling.
Remote data scientist (level III) at Stone, Brazil's largest independent payments company, on the fraud-prevention team: building and scaling ML fraud-detection models, defining success metrics, and improving alert monitoring and model validation. Core stack: Python (scikit-learn, XGBoost) and SQL at scale (Spark, Databricks, BigQuery).
Build and deploy large-scale ML systems for recommendations, search, ads, and LLM-driven features that power Reddit’s community platform.
Build and deploy large-scale ML systems for personalized recommendations, search, and ads at Reddit, using PyTorch/TensorFlow and distributed pipelines.
We are currently seeking a skilled and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for experiments with datasets searching for useful insights and features, maintaining…
Build and deploy AI/ML models and Generative AI solutions for life and annuities insurance tech, using Python, LLMs, and scalable ML pipelines.
Staff Data Scientist at HelloFresh in Chippendale, Sydney (hybrid) leads and grows a data science team, translating business challenges into ML models, experimentation frameworks, and analytics that drive commercial outcomes. Day-to-day blends people leadership with hands-on Python, PySpark, Databricks, XGBoost, and A/B testing work.
Rain is the world's first AI Financial Health Platform , serving 3.5 million employees at leading organizations like McDonald's, Marriott, and T-Mobile . Rain works in the background to optimize every…
Bell Integrator – международная компания, предоставляющая традиционные технологические услуги и инновационные сервисы. С 2003 года мы предоставляем клиентам широкий спектр сервисов и решений в области инновационных…
Lead ML engineer owning the ML/R&D direction for Magnit's retail price-management system: develops demand-forecasting and price-elasticity models, recommends regular prices at SKU × store level, and drives methodology, research roadmap, design/code reviews and mentoring, productionizing models with Python, LightGBM, Airflow, dbt, Trino and ClickHouse.
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