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A hands-on Lead Data Scientist owning machine learning across Soho House's business areas — building churn, personalisation and demand-forecasting models and taking them to production on GCP, Snowflake and Airflow. Also sets experimentation and causal-inference standards and coaches the wider analytics team.
Semi-senior data scientist at remote-first ML consultancy Muttdata, working on an engagement with a leading Mexican beverage company: designing A/B tests and causal inference analyses to measure marketing impact, plus building predictive and segmentation models on Databricks with Python, PySpark, and SQL.
About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of…
About Yassir: Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions…
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from…
Summary The Senior Product Data Scientist is a senior individual contributor responsible for leading the exploration and evidence generation that informs the development and validation of new products and solutions.…
Builds and owns the routing and network optimization engine behind Gallatin's AI-driven defense logistics platform: designing time-phased, capacity-constrained routing models, implementing and tuning exact/heuristic solvers in Python, and integrating them into production batch and real-time planning pipelines. Core skills: operations research, graph theory, and solvers like Pyomo, CPLEX, or Gurobi
You’ll take on a product area within core Kikoff as its data lead, working day to day with the product, engineering, design, and lifecycle marketing leads for that area, and you’ll sit in the Kikoff-wide conversations…
Job Description Job Summary: As a Senior Data Scientist, you will leverage your expertise in machine learning model development, generative AI, and software engineering to rapidly prototype and deploy advanced…
Bring your research and consulting expertise into MetaBrain solution development. Turn industry knowledge and advisory methods into reusable, continuously updated software-enabled services. MetaBrain combines Frost…
Launch Your Career with Frost & Sullivan MetaBrain combines Frost & Sullivan’s 65 years of industry expertise, enterprise data, and third-party insights, delivering human-reinforced AI insights and analytics to…
Title: Senior Program Manager Location and Work Authorization: Mumbai, India. Candidates must have existing authorization to work in India; PxD is unable to sponsor visas for this role. Position: Full-time…
Calgary Homeless Foundation (CHF) Calgary Homeless Foundation guides the fight against homelessness. Fueled by this purpose, we envision the day when homelessness is rare, brief, and non-recurring—perhaps an episode in…
Amazon's Community Intelligence Science & Engineering team operates at the intersection of computational social science, artificial intelligence, and operational excellence. We analyze how Amazon's presence…
Senior Data Scientist Hybrid, NYC $100-130k plus bonus For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits The posted range is the hiring range for…
Amentum is looking to hire a full-time position at Air Force Research Laboratory, Edwards AFB, CA supporting the research and application of efficient, data-driven machine learning tools that advance our predictive and…
Risepoint is an education technology company that helps regional universities launch and grow online programs for modern learners. Risepoint supports more than 100 universities and colleges across five countries, with…
CVM (Customer Value Management) отвечает за то, чтобы маркетинговый бюджет работал максимально эффективно: кому, что, по какому каналу и когда предложить, чтобы получить реальный инкремент, а не скидку тем, кто и так…
Leads hands-on data science at Novo Nordisk, turning observational patient-level data (EHR, claims, registries) into decision-ready real-world evidence for early R&D and portfolio decisions. Core work applies causal inference, statistical modelling, ML/deep learning and agentic AI in Python/R, using cloud HPC and reproducible research practices.
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