Data Scientist

• Design and deploy AI agent workflows to automate recurring analytical tasks, data summarization, and insight generation pipelines.
• Evaluate and integrate LLM-based tools into the data team's workflow, assessing their reliability, accuracy, and fitness for analytical use cases.
• Collaborate with product and business teams to define analytical questions, success metrics, and KPIs.
• Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics.
• Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making.
• Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation.
• Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses.
• Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations.
• Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.

AI Data Scientist

• Contribute to defining hypotheses and proposing analytic approaches based on available data.
• Collaborate on the development and execution of tests to validate hypotheses.
• Work on understanding data sources and extracting relevant information.
• Collaborate to perform data quality checks to ensure the effectiveness and reliability of data.
• Learn the definition of feature extraction schemas in collaboration with the team.
• Contribute to communicate findings and results through effective data storytelling resources.
• Assist in validating running solutions through hypothesis testing.

Junior Data Scientist

• Manage day-to-day scientific operations activities, supporting your team to deliver quality outcomes
• Leading the management and analysis of clinical trial data, ensuring high standards of data accuracy, integrity, and regulatory compliance
• Collaborating with cross-functional teams to design and implement data strategies that support clinical research objectives and optimize data workflows
• Overseeing data collection, processing, and validation to ensure consistency and reliability across clinical trials
• Providing strategic guidance on data management practices, including the development of data analysis plans and reporting methodologies
• Managing and mentoring data teams, fostering a collaborative environment to drive continuous improvement in data handling and analysis

Clinical Data Lead

• Take scoped engagements through staffing, production, QC, and delivery. Own timeline, throughput, and the delivered package across several concurrent projects at once.
• Staff each project from the expert pool, brief and calibrate contributors, manage their output and utilization, and keep production moving without quality drift.
• Run the QC structure on every deliverable — calibration layers, severity-weighted rubrics, deterministic verifiers, evidence maps — so each package survives buyer-side scrutiny before it ships.
• Track output-per-contributor-week, flag bottlenecks early, and protect margin by managing expert hours against scope.
• Keep the Strategic Project Lead and the Human Data Evals Lead informed on status, risk, and what shipped; surface anything that needs escalation before it becomes a delivery miss.

Data Scientist jobs in Argentina

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AI Data Scientist

Junior Data Scientist

Clinical Data Lead

Human Data Manager