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Мы занимаемся тонкой настройкой клиентских стратегий: строим индивидуальные модели эластичности (uplift) к ставке по вкладам, потребкредитам, программам лояльности и другим продуктовым направлениям, прогнозируем…
Build individual uplift/elasticity models and predict early loan repayments to optimize Sberbank's retail business, working with large datasets in a Hadoop ecosystem (PySpark, SQL, Python ML stack).
The Senior Data Scientist will develop B2C elasticity and behavioral models, design A/B tests, and work with large datasets in a Hadoop ecosystem to optimize retail banking strategies. The role involves end-to-end model development, from data exploration to production monitoring and stakeholder communication.
Build and productionise ML pipelines, tooling, and data workflows for sports betting analytics and trading systems using Python and modern ML libraries.
Build production-grade AI/ML models and data products to optimize product costs and support engineering, purchasing, and finance decisions using Python, SQL, and modern cloud platforms.
Build and maintain Python tools and data pipelines for analysts and engineers on a defense program, using libraries like pandas and Matplotlib to clean, transform, and visualize large datasets.
Design, develop, and integrate real-time and digital simulation models in C++, Java, and Python into a distributed air and missile defense simulation system for a defense contractor in Huntsville, AL.
Develops and maintains Python-based scientific simulation and data management tools, integrating AI and HPC workflows to support physics-based modeling and research at a national lab.
Build internal web apps that pull data from Databricks, present it in clear interfaces, and integrate AI agents, rapidly prototyping and deploying solutions for LATAM analytics and supply-chain teams.
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
Lead RBC's Cards Account Management team, developing credit strategies using advanced analytics, SQL, Python, and data visualization to optimize the retail credit card portfolio's profitability while managing a team of credit analysts.
Data Scientist at Cogeco Connexion developing predictive modeling and machine learning solutions for business problems, working with Python, SQL, and cloud platforms to improve customer acquisition, retention, and business performance.
Data Engineer - sports analytics/betting Salary £40k‑£55k (plus substantial bonus on top) Location: London or Leeds (very relaxed about hybrid/remote working) Company description We are a proprietary sports pricing and…
Senior full-stack engineer building web apps and cloud systems; writes, tests, and documents code while collaborating with stakeholders to define specs and solutions.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
Data Scientist using Palantir Foundry/Gotham to transform siloed data into actionable intelligence for national security missions, leveraging Python/R for statistical analysis, predictive modeling, and visualization.
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
Builds cloud-based data platforms and pipelines to enable business insights, designing architectures and integrating data from multiple sources (including streaming) for clients across industries. Uses modern tools like Snowflake, Databricks, and Azure Data Factory to deliver iterative, value-driven solutions.
Build and maintain governed, scalable analytics pipelines using dbt, SQL, and Python to turn raw data into actionable insights for business decisions in a global car-rental platform.
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