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Data Scientist supporting defense and intelligence analytics using Python, SQL, Tableau, and Excel to analyze structured and unstructured data and build dashboards—fully onsite in Chantilly, VA with an active polygraph clearance required.
Leads a data science team to develop AI/ML solutions for catastrophe-exposed property insurance, shaping strategy, mentoring talent, and driving scalable analytics to improve business decisions.
Data Scientist building and deploying ML models on large internal and external datasets for analytics, anti-fraud, and monetization at Avito's Data Gathering team. Core stack: Python, CatBoost, PyTorch, Pandas, NumPy, scikit-learn, Docker, SQL/NoSQL.
Senior Data Scientist leading AML model development, validation, and governance for SoFi's Anti-Money Laundering Compliance program using Python, SQL, and machine learning methods.
Senior Data Scientist owning the full data-to-production lifecycle across ML models, agents, and platform infrastructure at an AI-first software business in Belfast.
Data scientist analyzes product metrics, designs A/B tests, and evaluates experiment results for a health-tech client using SQL, Python, and stats.
Lead Data Scientist on Faculty AI's Life Sciences team, setting technical direction and delivering production-grade ML solutions for pharma and healthcare clients while mentoring teams and managing stakeholder relationships.
Data Scientist building OCR platforms, computer vision pipelines, and VLM solutions using Python, PyTorch, and OpenCV, taking models from data collection through to production in high-load services.
NLP-команда управления развития искусственного интеллекта (блок «Развитие клиентского опыта B2C») ищет NLP/LLM-инженера для разработки AI-агентов и опромышливания LLM-решений. Мы создаем co-pilot для клиентских…
Develops and enhances route optimization algorithms to improve logistics efficiency, collaborating with product and backend engineering teams to scale solutions and analyze KPIs for delivery performance.
This role involves using advanced data analysis, machine learning, and experimental design to drive subscription and customer growth for Google's consumer apps. The data scientist will collaborate with cross-functional teams to provide actionable business insights and recommendations to senior leadership.
Build and deploy ML models, data pipelines, and AB testing systems to power personalized content recommendations for a media platform.
The Data Scientist will support USSOCOM by applying scientific methods, algorithms, and data analysis to extract actionable insights from structured and unstructured data.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owning data, methodology, and production pipelines while mentoring junior scientists.
The Lead Data Scientist will architect and develop AI models for digital dentistry, focusing on 3D computer vision, generative AI, and anatomical reconstruction. This hands-on leadership role involves transitioning R&D into production-ready systems and defining the technical roadmap for the company's AI platform.
You will own machine learning models end to end—from problem framing to production—across forecasting, classification, clustering, and LLM evaluation, while mentoring junior scientists and delivering data-driven storytelling for clients at a consulting firm.
Data Scientist on the Askuity team designing and deploying ML solutions and predictive models for retail and supply chain challenges, using GCP tools, MLOps, time series analysis, and Looker dashboards.
Data Scientist role at Xe, a currency services company, based in Toronto. The posting is a template with no specific responsibilities or requirements filled in.
Data Scientist focused on store labour planning, payroll spend management, and financial analysis for SportChek and Mark's retail operations, using Python, SQL, Azure Synapse/Databricks, and BI tools.
Senior Data Scientist designing and deploying AI solutions (ML models, GenAI agents, RAG) for TIM's residential business, working with Python, cloud platforms (GCP/Azure), and MLOps practices.
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