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Senior Data Scientist driving product analytics, A/B testing, and self-serve dashboards for an AI-native enterprise coaching platform using SQL, Python, and BI tools.
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
The Data Analyst will join Sber's Neuroscience and Human Behavior Laboratory to conduct behavioral research using big data and machine learning. The role involves analyzing customer behavior, generating hypotheses, and building analytical models using Python, SQL, and LLM technologies to support strategic decision-making.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Senior product analyst at VK’s IVAS monetization team in Odnoklassniki, building metrics, running A/B tests, and shaping AI-driven features to boost revenue from gifts, microtransactions, and premium options.
Data Scientist building AI/ML models, predictive analytics, and automated data flows for public-sector and industry clients, primarily using Python or R, Docker, Git, and BI tools.
Мы занимаемся тонкой настройкой клиентских стратегий: строим индивидуальные модели эластичности (uplift) к ставке по вкладам, потребкредитам, программам лояльности и другим продуктовым направлениям, прогнозируем…
Product analyst optimizing daily tasks within a social network via data-driven product decisions, A/B testing, and metric design for the 'Life Situations' project.
CHI SIAMO Adentis Italia è un gruppo europeo di consulenza ingegneristica e IT operativa facente parte del Gruppo MoOngy . Presente in 14 Paesi europei con oltre 8500 dipendenti , abbiamo aperto la prima sede italiana…
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.
Lead data science initiatives for an AI-driven medical imaging company, designing data curation strategies and evaluating ML models to improve cardiac diagnostic algorithms.
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.
Центр компетенций по внедрению ИИ-агентов занимается разработкой ИИ-агентов с использованием передовых языковых моделей (LLM) для оптимизации различных процессов Сбера. Наша цель — повышение эффективности процессов…
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).
The Data Scientist will develop and deploy AI agents and LLM-based solutions to automate business processes within Sberbank. The role involves fine-tuning LLMs, implementing RAG, and solving complex NLP tasks using Python and modern AI frameworks.
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.
Senior Associate in PwC's Data & Analytics team in Windhoek, focused on IT audit and assurance — designing analytical solutions, building data visualizations, and supporting internal/external audit engagements using SQL, Python, and BI tools.
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.
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