DATA SCIENTIST / MONGODB (REMOTE)
Portuguese Consultancy hires for remote work
FLUENT PORTUGUESE AND ENGLISH (C1)
The working day will be in Portugal time
Please send only CV's in English
Please don't forgetto include in your resume all skills and experience that meet the requirementsof the opportunity, as this significantly increases your success rate
JobDescription
We are seeking a highly skilled DataScientist who is proficient in MongoDB, particularly in utilizing its advancedfeatures such as Indexing, Sharding, and Aggregation Pipelines. The candidatewill be integral in optimizing our data flow and analytics pipeline,translating complex business needs into scalable data solutions.
Keywords
MongoDB, JavaScript, Data Science, MachineLearning, Data Visualization, Python, TensorFlow, scikit-learn, PowerBI, GoogleData Studio, Docker, Kafka, NiFi, Node.js.
Seniority:Minimum of 5 years
DataManagement and Optimization
· Optimize data extraction,transformation, and loading processes using MongoDB.
· Utilize MongoDB's advancedfunctionalities such as indexing and sharding to ensure efficient data handlingand storage.
· Design and develop robustMongoDB aggregation pipelines to facilitate complex data transformationsrequired for analytics and BI reporting.
WorkflowIntegration and Scripting
· Develop and maintain workflowswithin SIDIS using JavaScript, focusing on automating data processes andintegrating various data sources.
· Collaborate with developmentteams to embed JavaScript logic into SIDIS workflows to enhance data operationsand feature integrations.
ToolIntegration and Data Visualization
· Identify and integrateopen-source or standard data tools for phases of data ingestion,transformation, and visualization.
· Implement and manage datavisualization tools like PowerBI and Google Data Studio to create insightfuldashboards and reports that drive business decisions.
Machine Learningand Data Analysis
· Apply machine learning techniquesto build predictive models and classifiers, enhancing the analyticalcapabilities of SIDIS.
· Manage data acquisitionstrategies to ensure the availability of relevant data points for modelbuilding and analysis.
ProductionDeployment
· Support the model deployment inproduction with cloud and on-premise infrastructure and integrations withAPIs
· Transition developed solutionsfrom a laboratory setting to production, ensuring seamless integration andoperational stability.
· Conduct ad-hoc data analysis andpresent findings in a clear, impactful manner to stakeholders.
Skills andQualifications
TechnicalExpertise
· Deep knowledge of MongoDB, including experiencewith its indexing, sharding, and aggregation frameworks.
· Proficiency in JavaScript fordeveloping and scripting within business platforms.
· Strong background in machinelearning, familiar with techniques such as RNNs, DNNs, and Gradient BoostedTrees.
· Experience with Python and MLframeworks like TensorFlow/Keras, scikit-learn, and Prophet (desirable).
DataHandling
· Expertise in data cleansing,processing, and integrity verification.
· Proficiency in Python datalibraries such as NumPy, Pandas, and NLTK.
· Experience with data streamingand processing tools like Kafka and NiFi.
AdditionalSkills
· Experience in backenddevelopment, particularly with Node.js, is a plus.
· Excellent communication skillsand proficiency in English.
#SD