Data Scientist II

LIBBS FARMACÊUTICA LTDA

. Transform data into strategic insights by applying advanced analysis and statistical techniques to support decision-making .

Posted 10/28/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in transforming data into strategic insights through advanced analysis and statistical techniques, while developing predictive models and algorithms using machine learning. Proficient in collaborating with cross-functional teams to align data analyses with business objectives and effectively communicating results to non-technical stakeholders.

Highest-signal resume keywords

Machine LearningPredictive ModelingData AnalysisPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical TechniquesData TransformationAlgorithm DevelopmentModel ValidationCross-ValidationA/B Testing

Soft Skills

CollaborationCommunication

Tools & Technologies

Power BIDatabricksPySpark

Industry Keywords

Data AnalyticsComputer ScienceStatisticsSoftware EngineeringData Science

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Transform data into strategic insights by applying advanced analysis and statistical techniques to support decision-making
Develop predictive models and algorithms using machine learning and statistics to solve business problems
Analyze and interpret complex data to identify trends, patterns, and relevant insights
Collaborate with engineering, product, and marketing teams to align data analyses with business objectives
Build and maintain automated data pipelines for the continuous collection and processing of large volumes of information
Validate model accuracy and tune parameters using cross-validation and A/B testing
Create charts, dashboards, and reports for non-technical stakeholders
Explore new data technologies and tools to optimize analysis and modeling
Document and communicate analytical processes and results

Requirements

What you’ll need

Academic background in Computer Science, Data Analytics, Statistics, Software Engineering, Data Science, or a related field
Experience with Python, SQL, Power BI, Databricks, and PySpark is a plus
Availability for occasional, scheduled meetings
This position is also open to candidates with disabilities

Benefits

Comp & perks

Meal voucher
Food allowance
100% coverage of Libbs medications
Vidalink pharmacy benefit
Profit-Sharing and Results Program (PPR)
Parking, transportation voucher, or company shuttle
USE Program: subsidy toward the purchase of the equipment used for work, which may also be used for personal purposes
Flexible benefits: TotalPass, life insurance, private pension plan, medical and dental insurance, and meal allowance
Flexible working hours: start between 7:00 and 9:00 a.m. and finish between 4:00 and 6:00 p.m.
Access to coworking spaces worldwide