Data Sciences Scientist III
Full-timeBachelors
Description
<p style="text-align:left"><b>Work Schedule</b></p>Standard (Mon-Fri)<p style="text-align:inherit"></p><p style="text-align:left"><b>Environmental Conditions</b></p>Office<p style="text-align:inherit"></p><p style="text-align:left"><b><u>Job Description</u></b></p><p style="text-align:inherit"></p><h2>Position Summary</h2><p></p><p>This role combines analytics, AI, and execution. You will help Corporate Strategy and Marketing leaders make faster, better decisions by delivering clear analyses, automated dashboards, and simple AI-enabled tools.</p><p></p><p>You will also make sure Innovation initiatives move beyond pilots (MVPs) and actually get implemented—by tracking adoption, value delivered, owners, and next steps.</p><p></p><p>You will work closely with Strategy, Market Intelligence, PMO, and other teams to turn business questions into clear metrics, dashboards, and actionable updates.</p><p></p><p><b>Scope & Impact</b></p><ul><li>Automate and standardize Market Intelligence dashboards, reducing manual Excel and PowerPoint work.</li><li>Use AI-assisted tools (e.g., code copilots, rapid prototypes) to speed up analysis, automate workflows, and build simple internal tools.</li><li>Ensure initiatives move from MVP to execution by running follow-ups, confirming owners, tracking progress, and surfacing blockers.</li><li>Define what “success” means by translating goals into clear KPIs and data requirements.</li><li>Track adoption and business value of initiatives and provide clear, decision-ready updates.</li><li>Maintain a simple backlog and regular update cadence so stakeholders stay aligned.</li><li>Document metrics, assumptions, and methods to improve consistency and enable self-service over time.</li></ul><p></p><h2>Required Skills & Experience</h2><ul><li>Bachelor´s degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field</li><li>Experience in data science and machine learning</li><li>Strong analytics skills using SQL and Python or R.</li><li>Proven experience automating dashboards and recurring reports (Power BI or similar).</li><li>Fluency in English</li><li>Strong execution discipline: comfortable driving follow-ups, defining KPIs, and keeping work moving.</li><li>Ability to work with both technical and non-technical stakeholders and communicate clearly.</li></ul><p></p><h2>Nice to Have</h2><ul><li>Hands-on experience building lightweight software tools or deeper AI/ML knowledge.</li><li>Ability to communicate in Spanish</li></ul><p></p><p></p><p></p><p></p><p></p>
Pipeline
Retrospective Cohort EnrollmentN/A
Technical Evaluation of Brahms PCT DirectN/A
Blood sample collectionN/A
Blood samplingN/A
RimegepantN/A