Data Scientist – Mid-level, Data Analytics

🕒 June 26

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 61%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Five Acts

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Five Acts is a company specialized in building and evolving data platforms using modern technologies and cloud architecture. Through their accelerators and processes, they create data products that deliver value swiftly for businesses. Five Acts focuses on data engineering, analytical intelligence, and machine learning to help companies harness the power of their data, transforming it into actionable insights. With over 300 clients and a strong track record of completed projects, Five Acts is dedicated to helping organizations improve through effective data strategies.

📋 Description

• Analyze customer registration data to identify major gaps, missing information, duplicates, and inconsistencies. • Perform analyses to identify the root causes or drivers of issues. • Conduct descriptive and exploratory analyses to generate insights. • Propose data-driven solutions to improve registration data quality. • Run A/B tests and backtests with vendors to validate hypotheses. • Apply sampling techniques for comparative data studies. • Create agents and multi-agent systems for automation and opportunity discovery. • Use graph techniques to map relationships and uncover opportunities within the registry.

🎯 Requirements

• Proficient in Python and SQL • Experience with projects involving automation of analyses and insight generation. • Conduct studies and analyses to identify gaps, inconsistencies, and improvement opportunities in registration data. • Experience working with large volumes of structured and unstructured data. • Apply data profiling, imputation, and data enrichment techniques. • Collaborate with business and engineering teams to continuously improve data quality. • Ability to create presentations (PowerPoint) and analytical reports. • Familiarity with data modeling and data quality concepts. • Monitor market trends and new technologies for application in the data domain.

🏖️ Benefits

• Meal and food vouchers (Swile) • Up to 100% coverage for Health and Dental plans • Group life insurance • Remote work • Mental health support program – online and in-person psychotherapy • Support for certifications and courses • Partnership for postgraduate and MBA courses (ESALQ/USP) • Partnerships with language schools • Partnerships with gyms and wellness apps (Wellhub) • Internal talks and discussion sessions • Employee referral bonus • Happy hours • Gifts for special occasions