3 Semantic Analysis Jobs

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As a dynamic global technology company, Schaeffler has achieved success through its entrepreneurial spirit and long history of private ownership. Partnering with major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer numerous development opportunities. Your key responsibilities include analyzing IT solution requirements (business, IT, NFR, UX, etc.) and translating them into detailed software and integration specifications and designs in alignment with the solution architecture. You will collaborate with the IT Solutions Architect and business experts to detail technical software and integration designs. Additionally, liaising with the DevOps team to track requirements and feature implementations, and documenting the IT solution architecture including interfaces are essential aspects of the role. Implementing and guiding IT solution requirement fulfillments in accordance with specified architecture and software design, collaborating with developers and suppliers, documenting changes and decisions, ensuring successful testing, and obtaining final business approval prior to production operations are key responsibilities. Furthermore, cooperation with vendors and external service providers to validate changes and ensure performance according to agreed KPIs is crucial. Qualifications: - University degree in Computer Science, Semantic Analysis, Mathematics (Statistics and Modeling), and Software Engineering - 5 to 10 years of experience At Schaeffler, we prioritize treating each other with respect and valuing all ideas and perspectives as a global company with employees worldwide. By embracing our differences, we foster creativity and drive innovation, contributing to sustainable value creation for our stakeholders and society. Exciting assignments and exceptional development opportunities await you as we impact the future with innovation. We eagerly anticipate receiving your application. For technical questions, please contact: Vineet Panvelkar Email: technical-recruiting-support-AP@schaeffler.com Keywords: Experienced, Engineer, Full-Time, Unlimited, Digitalization & Information Technology For more information and to apply, visit www.schaeffler.com/careers.,

Analyses IT solution requirements (business, IT and NFR , UX, ..) and translates them in line with the solution architecture into detailed software and integration specification and design followed by its implemented and operations (DevOps). Discuss requirements (business, IT, NFRs, UX, ...) with the IT Solutions Architect as well as business experts in order to detail the technical software, integration design and specification. Liaise with the DevOps team to track requirements and feature implementation, and document the IT solution architecture incl. interfaces. Implement and guide the IT solution requirement fulfilments according to the specified architecture and software design in collaboration with the developers and suppliers. Ensure that changes and decisions are well documented and successfully tested incl. the final business approval prior to production operations. Cooperate with vendors and external service providers to validate changes, and ensure performance according to agreed KPIs. Your Qualifications University degree in Computer Science, Semantic Analysis, Mathematics, (Statistics and Modeling) and Software Engineering 5 to 10 years