Mid-Level Data Scientist | Exclusive Opportunity for People with Disabilities

LIBBS FARMACÊUTICA LTDA

. Transform data into strategic insights by applying advanced analytical and statistical techniques to generate solutions that support decision-making .

Posted 11/6/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in transforming data into strategic insights through advanced analytical techniques, including predictive modeling and machine learning. Skilled in collaborating with cross-functional teams and communicating complex data findings to non-technical stakeholders.

Highest-signal resume keywords

Predictive ModelingMachine LearningData AnalysisPython ProgrammingSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationStatistical TechniquesAlgorithm DevelopmentModel ValidationCross-ValidationA/B TestingData InterpretationAutomated Data PipelinesDashboard CreationTrend Analysis

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 analytical and statistical techniques to generate solutions that support decision-making
Develop predictive models and algorithms using machine learning and statistical techniques to solve business problems
Analyze and interpret complex data to identify trends, patterns, and relevant insights for strategic decisions
Collaborate with cross-functional engineering, product, and marketing teams
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
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
Exclusive opportunity for People with Disabilities (PwD)
Availability for occasional, scheduled in-person meetings
Monday to Friday schedule
Flexible hours: start between 7:00 a.m. and 9:00 a.m. and finish between 4:00 p.m. and 6:00 p.m.

Benefits

Comp & perks

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