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Modeling Analyst II

AnalystAnalystFull TimeRemoteSeniorTeam 10,001+Since 1996H1B SponsorCompany SiteLinkedIn

Location

Brazil

Posted

49 days ago

Salary

0

Seniority

Senior

Bachelor DegreePortuguesePython

Job Description

Modeling Analyst II

Experian

• Develop credit risk models using statistical techniques and Machine Learning solutions, with a focus on Python; • Manipulate, explore, and analyze large datasets using Python; • Conduct ad hoc studies and statistical analyses to support decision-making; • Interpret analytical results, assessing their coherence, relevance, and impact on the business; • Translate complex analyses and technical concepts into clear, concise insights tailored to different audiences, including clients across segments and internal teams.

Job Requirements

  • Strong experience with Python for data manipulation, data analysis, and development of statistical and Machine Learning models;
  • Good communication skills, with ease interacting with internal and external clients;
  • Proactive profile, results-oriented, focused on quality and delivering value;
  • Analytical, inquisitive, and curious mindset, with continuous interest in learning, technical growth, and identifying patterns and improvement opportunities;
  • Ability to propose solutions aligned with business strategies;
  • Knowledge of GenAI will be considered a differential.

Benefits

  • Inclusive environment and diversity
  • Strong people-first culture

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Biostatistical Analyst I

Geisinger

Better health, easier.

Analyst49 days ago
Full TimeRemoteTeam 10,001+Since 1915H1B Sponsor

Biostatistical Analyst I (Remote Capable) Apply locations Danville, PA Work from home (Pennsylvania) time type Full time job requisition id R-94082 Location: Henry Hood Center For Health Research   Shift: Days (United States of America)   Scheduled Weekly Hours: 40   Worker Type: Fixed Term (Fixed Term)   Exemption Status: Yes   Job Summary: The Biostatistics Core at Geisinger collaborates closely with researchers across the health system, providing comprehensive support throughout all stages of the research process—from proposal development to data analysis and interpretation. Core members offer expertise in: • Refining research questions and hypotheses • Designing studies and selecting variables • Estimating sample size and statistical power • Developing analysis plans • Designing data collection methods and randomization schemes • Managing data and conducting biostatistical analyses The Core consists of 10 members with a mix of MS- and PhD level positions. 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