Data Scientist, Associate Scientist

<p>By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s <a href="https://jobs.takeda.com/privacynotice" target="_blank">Privacy Notice</a> and <a href="https://www.takeda.com/terms-and-conditions/" target="_blank">Terms of Use</a>.  I further attest that all information I submit in my employment application is true to the best of my knowledge.</p><p></p><p style="text-align:inherit"></p><h2><b>Job Description</b></h2><p style="text-align:inherit"></p><p></p><p><b>The Future Begins Here — United in Diversity</b></p><p>At Takeda, we’re driving global digital transformation to improve the lives of millions of patients. Our Innovation Capability Center (ICC) in Mexico City was established for its exceptional talent in data, digital, and technology.</p><p>We believe innovation thrives in inclusive, collaborative environments. That’s why we’re committed to building a workplace where everyone feels welcomed, respected, and empowered to contribute. Join us and be part of a diverse team shaping the future of healthcare through technology.</p><p></p><p><b><span>About the role:</span></b><br /><span>The Data Scientist, Associate Scientist is responsible for performing complex data research and analysis to support business operations. This role involves creating data mining architectures, statistical reporting, and data analysis methodologies to identify trends in large data sets. By applying knowledge of existing and emerging data science principles, this role informs business decisions and contributes to Takeda&#39;s mission.</span><br /><br /><b><span>How you will contribute:</span></b></p><ul><li><span>Design and develop scalable Machine Learning models and data pipelines.</span></li><li><span>Conduct statistical analysis, data exploration, and work with large datasets.</span></li><li><span>Deploy solutions to AWS, including EC2, S3 buckets, containerized environments, and orchestration using Kubernetes/K8s clusters.</span></li><li><span>Build data mining architectures, analytical methodologies, and frameworks to identify patterns and trends.</span></li><li><span>Work independently with minimal supervision while managing technical tasks and project components.</span></li><li><span>Provide technical support and informal guidance to mid-level colleagues (no junior team members in Mexico).</span></li><li><span>Help foster technical community building and networking across teams and regions.</span></li><li><span>Occasionally lead small project groups or initiatives.</span></li><li><span>Engage regularly with internal and external stakeholders to support data-driven decision making.</span></li></ul><p><br /><b><span>Skills and qualifications:</span></b></p><ul><li><span>3–4 years of experience in Data Science or a related role.</span></li><li><span>Strong expertise in Python (main programming language).</span></li><li><span>Experience building and deploying Machine Learning models.</span></li><li><span>Mandatory experience with AWS (EC2, S3, cloud deployments, containerization, etc.).</span></li><li><span>Solid understanding of statistical analysis and data science methodologies.</span></li><li><span>Practical experience with SQL for querying and data manipulation.</span></li><li><span>Experience generating data visualizations.</span></li><li><span>Familiarity with distributed data processing tools (Spark is a plus).</span></li></ul><p></p><p><b>Nice-to-Have</b></p><ul><li>Knowledge of Java and/or R for occasional tasks (not core to the role).</li><li>Basic experience with TensorFlow or other ML frameworks.</li><li>Exposure to Kubernetes for deploying models or services.</li><li>Experience with NLP or more advanced predictive modeling.</li><li>Experience contributing to technical communities or cross‑country collaboration.</li></ul><p></p><p><b>What Takeda’s ICC Offers</b></p><p></p><p>At Takeda, you shape your own career path. By joining the ICC in Mexico City, you’ll gain access to cutting-edge technology, continuous learning, and a diverse network that supports your growth.</p><p>We also offer a competitive compensation and benefits package designed to support your personal and professional life, including:</p><ul><li><p>Competitive salary &#43; annual performance bonus</p></li><li><p>Monthly supermarket and meal vouchers</p></li><li><p>Non-capped food vouchers and savings fund contributions</p></li><li><p>Flexible work arrangements</p></li><li><p>Comprehensive insurance: life, medical, dental &amp; vision</p></li><li><p>Additional paid time off</p></li><li><p>Diversity, Equity &amp; Inclusion programs</p></li></ul><p></p><p><b><i>Work Location: Mexico City – Santa Fe.</i></b></p><p><b><i>Hybrid model with a minimum in-office requirement of at least 10 (ten) days per month.</i></b></p><p style="text-align:inherit"></p><h2><b>Locations</b></h2>MEX - Santa Fe<p style="text-align:inherit"></p><h2><b>Worker Type</b></h2>Employee<p style="text-align:inherit"></p><h2><b>Worker Sub-Type</b></h2>Regular<p style="text-align:inherit"></p><h2><b>Time Type</b></h2>Full time