Senior Data Scientist

Compass

. Develop predictive models and machine learning algorithms to solve complex business problems .

Posted 9/23/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing predictive models and machine learning algorithms using Python and SQL, with a strong focus on data manipulation, statistical modeling, and cloud computing. Capable of presenting complex analytical solutions and insights to both technical and non-technical audiences.

Highest-signal resume keywords

Python Data ManipulationSQL Data ExtractionMachine Learning TechniquesNLP and Generative AICloud Computing on AWS and Azure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical ModelingMachine Learning AlgorithmsData AnalysisData ExplorationData ValidationDeep Learning TechniquesAutomation ProcessesData ManipulationExperimentation Tools

Soft Skills

Strong Communication SkillsPresentation Skills

Tools & Technologies

Scikit-learnStreamlitMatplotlibTensorFlowPyTorchJupyter NotebooksDatabricksMLflowStatsmodelsSciPy

Industry Keywords

NLPGenerative AILLMsRetrieval-Augmented GenerationData-Driven Decision-Making

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Develop predictive models and machine learning algorithms to solve complex business problems
Conduct data exploration, analysis, validation, and interpretation with a focus on measurable impact
Extract and transform data from relational databases using SQL
Develop analytical solutions, automations, and data manipulation processes using Python
Apply statistical modeling and machine learning techniques to data analysis
Use machine learning, deep learning, and data visualization libraries and frameworks to build analytical solutions
Develop solutions involving NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation)
Serve as an interface between business and IT
Present results and insights to non-technical audiences
Support data-driven decision-making in pursuit of business objectives

Requirements

What you’ll need

Experience with Python for data manipulation, automation, and analytical solution development
Knowledge of SQL for extracting and transforming data from relational databases
Knowledge of statistical modeling and machine learning techniques
Experience with Scikit-learn, Streamlit, and Matplotlib/Pyplot
Knowledge of TensorFlow and PyTorch
Knowledge of NLP, Generative AI, LLMs, and RAG (Retrieval-Augmented Generation)
Experience with cloud computing on AWS and Azure
Experience with notebooks such as Jupyter and Databricks
Experience with experimentation tools such as MLflow
Knowledge of statistical libraries such as Statsmodels and SciPy
Experience applying supervised, unsupervised, and deep learning techniques
Strong communication skills for liaising with technical and business teams
Ability to present results to non-technical audiences
Preferred: Experience with LangChain
Preferred: Experience with LangGraph
Preferred: Experience building chatbots