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Five Acts

Inspiring people through data.

Data Scientist – Mid-level, Data Analytics

Data AnalystData AnalystFull TimeRemoteSeniorTeam 51-200Since 2005H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

1 day ago

Salary

0

Seniority

Senior

Bachelor DegreePortuguesePythonSQL

Job Description

Data Scientist – Mid-level, Data Analytics

Five Acts

• 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.

Job 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

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