Data Scientist

<h2><b>Career Category</b></h2>Engineering<h2></h2><h2><b>Job Description</b></h2><div><p></p></div><div><p><u><span>ABOUT AMGEN</span></u><span> </span></p></div><div><p><span><span>Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, </span><span>fuller</span><span> and longer. We discover, develop, </span><span>manufacture</span><span> and deliver innovative medicines to help millions of patients. Amgen helped </span><span>establish</span><span> the biotechnology industry more than 40 years ago and </span><span>remains</span><span> on the </span><span>cutting-edge</span><span> of innovation, using technology and human genetic data to push beyond what’s known today.</span></span><span> </span></p></div><div><p><span><span> </span></span><span> </span></p></div><div><p><u><span>ABOUT THE ROLE</span></u><span> </span></p></div><div><p><u><span>Role Description:</span></u><span> </span></p></div><div><p><span><span>The Data Scientist </span><span>is responsible for</span><span> developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves </span><span>leveraging</span><span> data science techniques to analyze security data, detect threats, and automate security processes. The Data Scientist will work closely with cybersecurity teams to </span><span>identify</span><span> data-driven automation opportunities, strengthening the organization’s security posture.  </span></span><span><span> </span></span><span> </span></p></div><div><p><u><span>Roles &amp; Responsibilities:</span></u><span><span> </span></span><span> </span></p></div><div><div><ul><li><p><span><span>Develop analytics to address an organization&#39;s business or Engineering problems. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with Data Engineers to translate Machine Learning algorithms into effective solutions. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Design and implement analytics pipelines leveraging MLOps practices. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with data engineers on data quality assessment, data cleansing, and the development of operational data pipelines. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient analytics. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Share and discuss findings with team members practicing SAFe Agile delivery model.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><u><span>Must-Have </span><span>Skills:</span></u><span> </span></p></div><div><ul><li><p><span><span>Master&#39;s / Bachelor’s degree and 3 to 5 years of experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python) OR </span></span><span> </span></p></li></ul></div><div><ul><li><p></p></li></ul></div><div><p><u><span>Preferred qualifications:</span></u><span> </span></p></div><div><p><span> </span></p></div><div><ul><li><p><span><span>Proficiency</span><span> in Python and relevant ML libraries (e.g., TensorFlow, </span><span>PyTorch</span><span>, Scikit-learn) </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with data engineering and pipeline development </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience in analyzing time-series data for forecasting and trend analysis </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with AWS, Azure, or Google Cloud </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with Databricks platform for data analytics and </span><span>MLOps</span><span> </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with Generative AI models (e.g., GPT, DALL·E, Stable Diffusion) and their applications in cybersecurity and data analysis </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience working in Product team&#39;s environment </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience working in an Agile environment</span></span><span> </span></p></li></ul></div></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.