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Lead a data science and analytics team at an e-commerce fashion brand, building predictive models, reporting, and data infrastructure using Python/R, SQL, and machine learning to drive business decisions across marketing, product, and customer behavior.
EnergyHub is hiring an Energy Data Scientist to build M&V methodologies and data science models that evaluate grid services from fleets of distributed energy devices (thermostats, EVs, batteries). Day to day you'll write production Python, apply ML to energy IoT data, and work with SQL, Snowflake/dbt and BI tools.
At Doosan Bobcat, our success is powered by our people. Through our winning culture and one global team working together, we deliver the best products and service to our customers - and make the world a better place.…
At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We're a nonprofit…
Senior Data Scientist owning Fora Travel's growth operating model — forecasting, scenario planning, goal-setting, and strategic analysis for founders and leadership. Day to day it's advanced SQL and Python work on a modern cloud data stack (BigQuery, dbt) with LLM tools woven into the workflow.
Senior Data Scientist on Fora Travel's Data Science & Analytics team, partnering with Growth leadership to measure marketing incrementality, run experiments (geo tests, holdouts, lift studies), own attribution and media mix modeling, and build production ML models for customer value, propensity, and retention. Core stack: SQL, Python, and a modern cloud data stack (BigQuery, dbt) plus LLM tooling.
Build and deploy AI/ML models for cybersecurity and data governance in a government contract role, using Python, R, and cloud platforms to analyze workforce and logistics data.
Senior Data Scientist on Fora Travel's product analytics team in NYC, partnering with Product, Engineering, and Design to analyze advisor behavior, design experiments, build predictive models, and shape roadmap decisions. Core tools: SQL, Python, modern cloud data stack (BigQuery, dbt, etc.), ML and LLM tooling.
Lead a team of data scientists to build and deploy AI models for ad-quality verification, focusing on computer vision, NLP, and multimodal pipelines at massive scale with strict latency and cost constraints.
Senior Data Scientist builds and optimizes AI-driven bidding algorithms for automated ad campaign activation, using Python, SQL, and cloud infrastructure to process billions of impressions monthly.
A confirmed developer/data scientist joins PEReN (Pôle d'Expertise de la Régulation du Numérique) at the French Ministry of Economy and Finance in Paris to audit algorithms in production and deploy shared software components for digital regulation and AI evaluation, working in a 20+ person expert team on research projects and technical assessments.
Senior AI engineer/data scientist owning the technical vision for an AI copilot that answers business questions — designing RAG, LLM and multi-step agent pipelines, leading and mentoring a team of MLEs/data scientists, and industrializing AI pipelines. Core stack: Python, PyTorch, Hugging Face, LangChain/LangGraph, vector DBs.
Ayesa Digital in Burgos, Spain is hiring a Data Scientist / ML Engineer to work across the full data lifecycle, designing, training and deploying machine learning models into production. Core stack: Python, SQL, MLflow, PySpark and libraries such as scikit-learn, TensorFlow or PyTorch.
Data Scientist / ML Engineer at Ayesa Digital in Barcelona, working across the full data lifecycle — designing, training, and deploying machine learning models into production. Core stack is Google Cloud Platform (BigQuery, Cloud Storage, Dataflow/Dataproc, Vertex AI) with agile methodologies.
Data Scientist / ML Engineer in Valencia, Spain working across the full data lifecycle — designing, training, and deploying machine learning models into production environments. Core stack includes PySpark, MLflow, and ML libraries like scikit-learn, TensorFlow, or PyTorch, with collaboration between business and technical teams.
Product Owner / Lead Data Scientist at Deutsche Bank's Corporate Bank, owning the business-side steering, prioritization and operationalization of data-driven use cases (analytics, ML, GenAI) on the BlueSpace Data Hub — taking prototypes to regulated, scalable production with MLOps. Core stack: Python, SQL, GitHub, Google Cloud Platform (BigQuery), CI/CD.
Senior Data Scientist at Lendi Group in Sydney who works with large datasets and feature stores to train and evaluate predictive models, builds scalable ML solutions across the full product lifecycle, and collaborates with product managers and the data team.
Senior Commercial Data Scientist at easyJet's Commercial Analytics team in London Luton Airport, building next-generation pricing and optimisation systems for revenue management, network planning, scheduling, and inflight retail. Day-to-day work centers on algorithmic models for dynamic pricing and revenue forecasting, validated via simulations, backtests, and A/B experiments, using data science,
Lead real-world data strategy for a pharma AI company, building pipelines and harmonizing datasets to accelerate drug development and portfolio decisions.
Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify…
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