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GLOBALCONEXUS, requiere contratar 2 Ingenieros con experiencia comprobables como Full Stack y/o especialista en Datos, con experiencia de a lo menos 2 años, para integrarse a un grupo de profesionales de vanguardia en…
Développeur web senior/référent frontend imagerie scientifique (H/F) Mission freelance | Secteur Recherche & Santé Contexte Pour le compte d'un acteur majeur de la recherche scientifique et biomédicale, nous…
Position Overview: The candidate will be responsible for collecting, transforming, and analyzing data from various sources, including web-based platforms and spatial databases. The ideal candidate will possess strong…
Job Description: We are looking for an advanced analyst in our India Analytics team who works closely with the Community Voice team. The analyst must have functional expertise in building analytical solutions using…
Job Title: Data Scientist (3-8 Years Experience) Location: Bangalore About Us: Thoucentric is a forward-thinking organization at the forefront of leveraging data-driven insights to solve complex business challenges. We…
Lead Data Engineer at Clario (part of Thermo Fisher Scientific) building scalable data pipelines and data platforms for clinical trial operations, plus LLM-powered solutions like RAG pipelines and agents. Core stack: Python (Flask/Django), complex SQL across Oracle/SQL Server/PostgreSQL/Snowflake, Airflow, AWS (incl. Bedrock), LangChain.
Data Scientist in Bangalore who designs, refines, and deploys machine learning and statistical models end-to-end — from data exploration to production — working with data engineers and business stakeholders. Core stack includes Python/R, ML libraries, cloud platforms, Docker/Kubernetes, and Snowflake/SQL.
Hands-on technical lead role (70% coding, 30% mentorship) evolving Astucemedia's Angular + C#/.NET Core platform in Montréal. The engineer builds AI-powered features (LLMs, agents, RAG) and real-time data visualization for datasets like financial markets, elections, sports, and dashboards, while driving AI-assisted development practices across the team.
Build and evolve interactive, responsive web frontends for WPP's Data & Technology Solutions team (including the WPP Open AI marketing platform) in a hybrid Warsaw role: translating UI/UX designs into code with modern frameworks, integrating REST/GraphQL APIs, building data-visualization dashboards, plus testing, performance and accessibility work.
Mid-level, hands-on engineer for a SaaS data analytics company serving banks, building production generative AI features (LLM-API applications, agents, evaluation/monitoring harnesses) in Python and SQL, deployed on Azure. Remote US role on Eastern hours; candidates must have verifiable shipped GenAI apps and reachable references.
Data Scientist at Sanofi (Toronto, hybrid) building AI/ML solutions end to end — from experiments in machine learning, NLP, forecasting, and optimization to production-ready models. Works with developers and MLOps using Python/R/Scala, SQL/NoSQL, and cloud platforms like AWS, GCP, Databricks, and Spark.
Clinical Data Engineer (level I) on MiniMed's Bioinformatics team in Los Angeles, building and optimizing data pipelines that turn clinical and medical device data into analysis-ready datasets supporting diabetes research and real-world evidence. Core stack: SQL, Databricks, AWS/Redshift, Python, and Power BI.
A 6-month intern-to-hire role at a radar-based autonomy startup in Berkeley: design and run experiments to measure system performance, build Python tools for evaluation and data analysis, support simulation and hands-on testing with vehicles and robots, and share findings with ML and controls engineers, with a path to a full-time junior engineering role.
First dedicated data hire at Junior, an LLM-powered investment research tooling startup. You build the commercial analytics foundation from scratch — usage/retention analysis, churn health scoring, CRM data quality, sales funnel analysis, and automated exec reporting — using SQL, Python, and BI tools, on-site in London 5 days a week.
Mission Operations Software Engineer at Tomorrow.io builds mission-critical ground software to launch, deploy, and operate a commercial weather-satellite constellation from Earth. The work is Python-heavy backend development (REST APIs, MongoDB/InfluxDB, AWS/Terraform, Docker/Kubernetes) with some TypeScript/React, supporting payload operators and climate scientists.
Data scientist on AbbVie's Trial Surveillance & Analytics team, building AI-enabled analytics, automated reporting, and data pipelines for clinical trial safety surveillance and medical monitoring. Day to day combines statistical/ML analysis of clinical data with visualization, and uses agentic coding and generative AI (R, Python) to migrate legacy SAS programs.
Data Scientist at Pelmorex (home of The Weather Network) building predictive weather ML models for B2B weather-intelligence and commercial data products, with some B2C/adtech work. Day to day: training and deploying spatio-temporal and time-series models using Python, BigQuery, and distributed frameworks like Spark, and owning the full model lifecycle.
Middle Data Scientist building and maintaining time-series and tabular predictive models end to end: EDA, feature engineering, designing and tuning neural networks in PyTorch (with the Darts library as a plus), evaluating and improving production models, and writing production-grade Python, including internal ML libraries.
Senior Data Science specialist at BGK (Polish state development bank) building and deploying GenAI/LLM solutions for the Finance Division's controlling processes — RAG systems with hybrid search, LangGraph agentic workflows, MLOps pipelines — and training the team in Python, JavaScript, and GenAI tools. Hybrid work from Warsaw.
Data Engineer building, orchestrating, and maintaining large-scale data pipelines and warehouses. Core stack is Databricks, Snowflake, and GCP data services, with Python, Java, SQL, and big data tools like Spark and Hadoop. Onsite role in Taguig City, Metro Manila.
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