OverviewThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in Latin America. As a Data Scientist, you will play a central role in transforming complex datasets into actionable insights and predictive models that drive business decisions. You will work on end-to-end data science projects, from data extraction and cleaning to model development and deployment, leveraging the Google Cloud ecosystem. Collaborating closely with cross-functional teams, you will design scalable data pipelines, implement advanced analytics, and contribute to machine learning initiatives including the use of Large Language Models (LLMs). This role offers the opportunity to impact high-stakes business outcomes while working in a flexible, fully remote LATAM environment that values innovation, autonomy, and collaboration.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, analyzes your skills, experience, and achievements, and 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 top candidates for the role. A human review may be performed if needed to ensure strong profiles are not missed. The process is transparent, skills-based, and focused on fit for the role. The final decision and next steps are made by the client’s internal hiring team.ResponsibilitiesExtract, transform, and analyze large datasets using SQL (Google BigQuery) and PythonDevelop and maintain efficient, scalable data pipelines and workflowsApply vector-based representations and similarity measures (e.g., cosine similarity) for data-related tasksBuild and deploy predictive models (classification, regression, time series) using Python ML librariesCreate interactive dashboards and visualizations in Google Looker to communicate insightsCollaborate with cross-functional teams to define requirements, align technical solutions with business goals, and deliver high-quality resultsWork with LLMs and APIs (e.g., Gemini API) for text understanding, enrichment, and workflow automationPerform manual data labeling, validation, and web research as needed to ensure data quality and integrityRequirementsBachelor\'s degree in Computer Science, Statistics, Mathematics, or a related field5+ years of experience in end-to-end data science projects (problem framing, data preparation, modeling, evaluation, communication)5+ years of SQL experience with large datasets, including ELT and optimization in Google BigQuery5+ years of Python experience for data analysis and model building, with familiarity using Google Colab3+ years of experience with data manipulation libraries like Pandas and NumPy2+ years of experience building predictive models and applying embeddings/similarity search2+ years of experience with Google Cloud tools (BigQuery; Vertex AI is a plus)Experience with Git and collaborative development practices, including code reviewsKnowledge of data visualization/dashboarding tools, preferably LookerExperience using LLMs and APIs for text understanding and automation workflowsEntry-level knowledge of SalesforceAdvanced English proficiency for communication with international clientsStrong analytical, problem-solving, and collaboration skillsBenefitsCompetitive USD salary100% remote work with flexibility to design your own schedulePaid time off according to local regulations and national holidaysSick leave to prioritize health and well-beingRefundable annual credit to spend on perks of your choiceTeam-building activities, tech talks, and social eventsBirthday day off to celebrate in styleOpportunities for professional growth and continuous learningDetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information TechnologyIndustries: Non-profit Organizations and Primary and Secondary Education
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