... entrenamiento e inferencia. - Participar en el diseño de capacidades de ML reutilizables. Requisitos: - Experiencia de 6 años o más en rol similar - Python y SQL. - Machine Learning supervisado y no supervisado. - Scoring y modelos de inferencia. - Feature engineering. - Evaluación y monitorización de modelos. - GCP y ecosistema ...
... internal operational efficiency. This is a hands-on, impact-oriented role , focused on applying AI in real environments. What you will do - Collaborate with data scientists, engineers, and architects to build applied AI and agent-based solutions . - Develop, validate, and evolve machine learning models and LLM-based components ...
... fast, flexible, and hands-on. ✨ Shape the future, sustain growth - Make a difference now and build for long-term success. Job Description As a Senior Data Scientist at Docplanner, you will help transform complex data into actionable insights and scalable machine learning solutions that directly impact business growth and ...
... years of related experience as a Data Scientist, AI expert or Machine Learning engineer; - A solid understanding of relevant statistical, data processing and machine learning methods and their implementation using standard open source frameworks; - Experienced with building production ready machine learning solutions and ...
... cutting-edge analytical & computational approaches to drive evidence-based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and ...
... de Datos o Analítica https://jobeax.com/link/hNTqyIeyf1gufeZe demostrable en:Modelos predictivos (regresión, clasificación, forecasting, segmentación, etc.).Machine Learning y evaluación de https://jobeax.com/link/cbZLDKtZHImlxdf7 y ecosistema de ciencia de datos (Pandas, Scikit-Learn, NumPy, Matplotib).SQL https://jobeax.com/link/Qfw4CqIhdKrD6u2u ...
... research-focused professional. What You'll Need - Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field. - 8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models. - Deep expertise in LLM and deep learning training and deployment ...
... team collaborates closely with various other chapters - including product, business, and platform - leveraging analysis, experimentation, causal inference, and machine learning.You’ll be embedded in cross-functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. Check ...
... agentic approaches, when appropriate for the business problem. What we're looking for - Solid foundations in areas like: - Statistical analysis is a MUST - Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus - Knowledge of classical ...
... event/transaction sequences strongly preferred, but not required. - Strong foundation in mathematical statistics and probability theory. - Deep understanding of machine learning algorithms (GBM, MLP, CNN, RNN, Transformers, etc.) - Experience taking large models to production: distributed training, model serving, latency/cost ...
... development. Trial design, patient selection, doseoptimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can addrigour, speed, and precision - not as a replacement for clinical and statistical expertise, but as a powerful complement to it. We hold ourselves ...
... creation of reports in the areas of analysis, evaluation, and assessment of data structures and processes. Development of robust and effective data models; use of machine learning techniques to integrate results from analyses into specific solutions and business processes in the context of preparing cost cases and contributing ...
... planning and execution across the entire fulfillment pipe. A central part of this mission is harnessing recent advances in Artificial Intelligence, including machine learning, large language models, and generative AI, to transform how we optimize the network and make decisions at scale. What you'll do Key job responsibilities ...
... con visión funcional, visión crítica y ganas de asumir cada vez más responsabilidad dentro del equipo. ¿Cuáles son los requisitos? - Experiencia como Data Scientist, con especialización en Estadística y Machine Learning. - Conocimientos sólidos de SQL y experiencia trabajando con procesos ETL. - Capacidad para realizar ...
... large-scale, complex biological datasets to generate novel scientific insights and hypotheses. - Collaborate with multidisciplinary teams across computational biology, machine learning, and experimental sciences to translate methodological advances into impactful drug discovery applications. - Clearly communicate complex technical ...
... analytical methodologies, tools and data-driven decision-making within the project. The profile we are looking for - Around 4–8 years of experience in Data Science, Machine Learning or Advanced Analytics. - Strong Python skills for data analysis, modelling and prototyping. - Solid knowledge of statistics, machine learning, feature ...
... haveBackground in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product https://jobeax.com/link/wmfydL5xJP2ahk8f with data visualization ...
... established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other. For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, ...
Flomics Biotech in Barcelona is seeking a Bioinformatics Senior Scientist to join our growing team. You will help develop pipelines for early cancer diagnosis using RNA-seq, apply machine learning, and contribute to publications and regulatory submissions. You should have a PhD in bioinformatics or related field with 3+ ...
... entity in a holistic manner (i.e., from understanding the problem to implementation and monitoring). Knows and uses best practices in software development and machine learning models. Is able to communicate the insights/results of the analytical solution clearly and structured through presentations and/or dashboards. What ...