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Lead data scientist owning production ML models and MLOps practices using Python, SQL, and Databricks to build predictive solutions for HR software.
Role Overview We are seeking a Data Scientist to work at the intersection of laboratory science and data-driven software systems. This role is in our software organization and collaborates closely with scientists,…
Senior Data Scientist specializing in Marketing Mix modeling, developing AI-driven analytics solutions for global brands across industries including fintech and airlines.
De qué se trata del puesto Liderar el desarrollo, implementación y evolución de soluciones de analítica avanzada, machine learning, modelos predictivos, optimización y segmentación comercial que fortalezcan la toma de…
The Data Scientist & ML Engineer will develop and apply advanced AI solutions, including computer vision, LLMs, and predictive modeling, to optimize industrial control systems and processes. This role involves writing production-ready code and collaborating within a multidisciplinary research team to drive innovation in industrial settings.
Eurecat is seeking a Data Scientist and Machine Learning Engineer to develop and apply AI-driven solutions for industrial process monitoring and control. The role involves working with technologies like computer vision, LLMs, GNNs, and time-series analytics to innovate across various industrial sectors.
Build and maintain end-to-end analytics and ML solutions in BigQuery and Python to drive data-driven decisions, KPIs, and predictive models for business and operations.
Мы — Интерлизинг, входим в банковскую группу «Уралсиб» и в ТОП-10 лизинговых компаний России. 26 лет наша команда из 1000+ профессионалов в 84 городах делает современную технику и технологии доступными для бизнеса! Мы…
The Data Scientist will develop predictive and prescriptive models to support decision-making across GTR's operations. The role involves using Python, SQL, and cloud-based analytics platforms to extract insights from large datasets and build the company's in-house machine learning capabilities.
Confido is seeking a Data Scientist to build demand forecasting and promotional effectiveness models for CPG brands using Python, SQL, Snowflake, and dbt. You will work closely with the AI/ML engineering team to deploy production-grade models that directly influence retail strategy.
The Data Scientist II will develop machine learning and statistical models to support Crop Protection R&D, focusing on applying generative AI, LLMs, and agentic workflows to scientific data. The role involves collaborating with domain experts to build analytical solutions and knowledge graphs to accelerate biological and chemical research.
about sciemo Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and…
Who we are: At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 20 years, our team provides…
Principal Data Scientist at Microsoft builds AI-driven analytics to optimize user engagement, content discovery, and monetization for MSN and Copilot Discover, partnering with cross-functional teams to shape product strategy and revenue outcomes.
Data Scientist & AI consultant optimizing ESG pipelines and designing/deploying RAG and LLM-based solutions for a regulated banking client, using Python, Dataiku, ServiceNow, and vector stores on-site in Luxembourg.
The Senior Data Scientist / Machine Learning Engineer will design, develop, and deploy machine learning models into production environments while collaborating with engineering teams. The role involves performing exploratory data analysis and using tools like Python, SQL, and frameworks such as TensorFlow or PyTorch to solve business problems.
The ML Engineer/Data Scientist will build a reproducible NLP pipeline for Spanish NER, focusing on weak supervision to create training datasets from historical data and fine-tuning BERT models. The role involves calibrating model confidence scores and ensuring the final pipeline is production-ready for the client.
Forward Deployed Data Scientist partnering with health system customers to transform messy healthcare data into ML-ready pipelines, deploying LLM-based models and analytics using Python, PyTorch/TensorFlow/HuggingFace, and MLOps tools like Airflow and Docker.
Лаборатория искусственного интеллекта - это новый отдел, основной задачей которого является внедрение технологий ИИ в бизнес-процессы банка. Мы развиваем свою MLOps платформу (Kubernetes, JupyterHub, AirFlow, MLflow и…
Senior data scientist partners with product teams to define metrics, run experiments, and analyze user behavior to shape product road maps and validate feature impact using SQL, Python, and Snowflake.
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