Jr Data Governance & Data Scientist (Only Hispanic Latam) at Jobgether

P'yŏngyang, , North Korea -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

1000.0

Posted On

06 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Quality, Analytics, Python, R, Machine Learning, SQL, Relational Databases, Excel, BI Tools, Data Lineage, Data Cataloging, Data Privacy Regulations, Attention to Detail, Team Collaboration, Proactive Mindset

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Jr Data Governance & Data Scientist in Latin America. This entry-level role offers an excellent opportunity to gain hands-on experience in data governance, quality, and analytics. You will support operational tasks related to managing, documenting, and monitoring data to ensure integrity, traceability, and consistency across analytical processes. Working closely with data and business teams, you will help maintain accurate data pipelines, apply basic machine learning techniques, and contribute to the improvement of data management practices. The position is ideal for candidates early in their data careers who are curious, detail-oriented, and eager to learn about data governance frameworks and analytics best practices. Accountabilities: · Monitor the quality of master, transactional, and analytical data. · Support the standardization of data catalogs using statistical analysis or fuzzy matching techniques. · Assist in documenting data governance policies and procedures. · Record and maintain business and data quality rules in corporate catalogs. · Help register and update data lineage from source systems to analytical dashboards. · Collaborate with business and technology teams to ensure accurate and consistent data usage. · 2+ years of experience in data-related activities. · Proficiency in Python or R for data manipulation, cleaning, and analysis. · Basic knowledge of Machine Learning, particularly anomaly detection or data quality assessment. · Familiarity with relational databases and SQL. · Understanding of data quality concepts such as completeness, consistency, and validity. · Basic knowledge of metadata and data lineage. · Experience with Excel and BI tools for reporting. · Desirable: familiarity with data cataloging or governance tools (Collibra, Talend, Alation, Informatica, Anjana, etc.) and introductory knowledge of data privacy regulations (GDPR, CCPA). · Strong learning agility, attention to detail, and ability to work in a team. · Proactive mindset with an orientation toward continuous improvement. · Competitive freelance or full-time compensation within the range of $800–$1,000 USD/month. · 100% remote work flexibility across Latin America. · Full-time schedule (8 hours/day). · Opportunity to gain hands-on experience in data governance, analytics, and machine learning. · Exposure to cross-functional collaboration with business and technology teams. · Potential contract renewal based on performance. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

You will support operational tasks related to managing, documenting, and monitoring data to ensure integrity, traceability, and consistency across analytical processes. Collaborating with business and technology teams, you will help maintain accurate data pipelines and contribute to the improvement of data management practices.