Data Scientist (Americas) São Paulo, Brazil Fully remote $70,000 up to $100,000 CAD/Annual Must-have skills Python 3 Year(s) Postgresql 3 Year(s) Data Analysis 3 Year(s) Machine Learning 2 Year(s) Google Cloud Platform - Gcp 3 Year(s) Nice-to-have skills Powerbi Airflow Language required English ** Due to time zone constraints, only candidates based in the Americas region will be considered ** Companies and governments use analyses and reports to anticipate possible risks involving the climate, how to protect the population, workers and their infrastructure, and make operational decisions with greater security. Our hiring partner is the only company to combine: - Private data: Weather network of monitoring devices used around the world. - Public data: Network of satellites, stations and public weather radars. - Sectoral data: Integration with third-party information, such as agricultural machinery, transport trains and hospitals. Objectives of this role: Collaborate with product design and engineering teams to develop an understanding of needs; Research and devise innovative statistical models for data analysis; Communicate findings to all stakeholders; Enable smarter business processes by using analytics for meaningful insights; Keep current with technical and industry developments Responsibilities include: Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out pre-processing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements: 3 years of experience with Python; Bachelor's degree in the area (Computer Science, Computer Engineering or similar experience, strong theoretical background in algorithms/statistics and computing expected); Experience in designing ETL architectures; Experience with manipulating data frames with pandas; Experience with SQL, especially PostgreSQL; Knowledge of cloud services, with a preference for GCP Differentiators: Experience with Data Lake; Experience in designing and implementing data pipelines (Airflow, Dask, etc.); Experience with Earth Engine and satellite image analysis; Experience with dashboards (e.g. PowerBI, Looker Studio); Open-source projects Apply here: https://lnkd.in/gwbj9hZQ
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