
Data Scientist
Fácil Assist
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
About the role
- Develop, train, and validate predictive and prescriptive models using Machine Learning algorithms and statistical techniques;
- Perform exploratory data analysis (EDA) to identify patterns, opportunities, and trends;
- Design and maintain structured, scalable data pipelines;
- Clean, process, and prepare large volumes of data from multiple sources;
- Define and monitor performance metrics to evaluate deployed models;
- Conduct statistical studies, simulations, and hypothesis tests to solve business problems;
- Document processes, models, and methodologies developed;
- Contribute to the continuous improvement of data policies, standards, governance, and quality.
Requirements
- Degree in Data Science or a related field;
- Hands-on experience with Python and ML libraries;
- Proficiency in SQL and relational/non-relational databases;
- Strong knowledge of applied statistics and regression/classification techniques;
- Experience working with large volumes of data and structuring datasets;
- Experience with Git and code versioning;
- Familiarity with visualization tools (Power BI, Tableau, Looker);
- Experience with Data Lake, Data Warehouse, and modern data architectures;
- Knowledge of natural language processing (NLP) and computer vision;
- Experience with generative AI projects and large language models (LLMs);
- Knowledge of MLOps, CI/CD, and model deployment;
- Reside in São Paulo, with availability for occasional visits to the headquarters located in São Bernardo do Campo (SBC);
- Help create an inclusive and diverse environment;
- Respect differences;
- Work collaboratively;
- Analytical skills;
- Organized;
- Sense of urgency and ability to discern priorities;
- Good interpersonal skills;
- Ownership mindset;
- Be a facilitator of simple, efficient solutions to business needs.
Benefits
- Health and wellness with medical coverage
- Dental coverage
- Wellhub
- Dress code
- Meal or food allowance
- Transportation voucher
- Profit-sharing (PLR)
- Birthday day off
- Childcare or nanny assistance
- Life insurance
- Internal opportunity program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine Learningstatistical techniquesexploratory data analysisdata pipelinesdata cleaningperformance metricsapplied statisticsregression techniquesclassification techniquesnatural language processing
Soft Skills
analytical skillsorganizational skillsinterpersonal skillsownership mindsetcollaborative worksense of urgencyability to discern prioritiesfacilitation skillsinclusive environmentrespect for differences
Certifications
Degree in Data Science