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Senior Data Scientist automating operational processes at an insurance company using Python, APIs, GenAI, and No-Code/Low-Code tools, integrating solutions into the existing IT landscape.
Крупнейший универсальный коммерческий банк Казахстана приглашает тебя в свою команду. Мы ищем талантливых людей, готовых развиваться и расти вместе с нами. Группа Halyk – это более 17 000 сотрудников в Казахстане и…
The Senior Data Scientist will design, develop, and deploy advanced machine learning models to solve complex mobility challenges. The role involves collaborating with engineering teams to productionize models and mentoring junior staff within an Agile environment.
The Senior Data Scientist will partner with product, design, and engineering teams to drive data-driven decision-making for Grab's lending products. The role involves analyzing user behavior, designing A/B tests, and developing automated data solutions using SQL, Python, and visualization tools.
Senior Data Scientist on Google's Reliability Analytics team designing statistical, ML, and AI tools alongside data pipelines to improve Google Cloud Platform reliability, focusing on change supervision and software rollouts.
Senior Data Scientist builds and owns a credit risk engine (SmartRisk) using Python, SQL, and ML/AI to drive data-driven risk decisions for a large European B2B mobility and payment platform.
Senior Data Scientist owning underwriting predictive models and member risk features in a health insurance context, collaborating with ML engineers to deploy models at scale and monitor prediction lifecycle outcomes.
Builds and deploys AI/ML models, optimizes data pipelines, and integrates AI solutions into applications for energy industry clients, using Python, Snowflake, and frameworks like TensorFlow.
Job Description SALARY RANGE $209,000 - $266,000/year. DUTIES As a successful candidate for the Senior Applied AI Engineer III role, you will join a fast-moving AI team delivering mission-critical capabilities that…
Build pricing and revenue models to optimize margins, automate quote analytics, and guide sales decisions using ML and statistical techniques for industrial products.
Senior analyst builds healthcare quality dashboards and runs statistical analyses to spot patient-safety risks and guide hospital process improvements using SQL, Power BI, and Python.
Senior analyst builds healthcare quality dashboards and runs advanced stats to spot patient-safety risks, regulatory gaps, and cost-saving opportunities using SQL, Power BI, and Python.
Senior Data Scientist building ML models for Marketing, Commercial, and Digital use cases, managing the full model lifecycle from data preparation through deployment, with Python, R, SQL, and time series forecasting expertise.
Senior Data Scientist building predictive models (GLMs, tree-based, neural nets) and applying advanced analytics to support enterprise needs at a credit card/financial services company, using Python, SQL, and Spark SQL.
DataArt is seeking a Senior Data Science/ML Engineer to work on various global projects within a flexible and innovative environment. The role focuses on applying data science and machine learning expertise to client solutions.
Leads digital transformation and data science initiatives across POET, redesigning processes and deploying AI/ML analytics to improve efficiency and decision-making in supply chain, operations, and finance.
Design and deploy AI, ML, optimization, and control algorithms for building automation and energy management at Honeywell Connected Enterprise, using Python, MATLAB, and Spark in cloud and edge environments.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
Build and deploy AI/ML models, optimisation and control algorithms for building automation and energy management using Python, MATLAB and cloud/edge platforms.
Builds and validates AI models for industrial manufacturers, transforming raw plant data (time-series, sensors, downtime) into actionable insights for clients and platform integration.
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