6 Operational Research Jobs

We are seeking a Senior Associate Data Scientist to identify trends, root causes, and potential improvements in our products and processes. In this vital role, you will be responsible for developing and deploying basic machine learning, operational research, and statistical methods to uncover structure in large datasets. The ideal candidate will be passionate about ensuring patient voices are heard and addressed with utmost precision by creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities Data Management & Analysis: Collect, clean, and manage large datasets related to product performance and patient complaints. You will analyze data to identify patterns, trends, and correlations, and use advanced statistical methods and machine learning to uncover insights and root causes. Model Development: Develop analytics and predictive models to foresee potential product issues and patient concerns. You will work with software developers and engineers to translate these algorithms into commercially viable products and services. Reporting & Collaboration: Prepare comprehensive reports and visualizations to communicate findings to key stakeholders. You will present insights and recommendations to cross-functional teams and collaborate with regulatory and compliance teams to ensure adherence to healthcare standards. Continuous Improvement: Identify opportunities for product enhancements and process improvements based on data analysis. You will work with product complaint teams to implement changes and monitor their impact. You will also stay abreast of industry trends and emerging technologies in data science and healthcare analytics. Technical Skills Experience with one or more analytic software tools or languages, and data visualization tools. Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction, and predictive analytics on industrial datasets. Experience in statistical techniques and hypothesis testing, with expertise in regression analysis, clustering, and classification. Experience in analyzing time-series data for forecasting and trend analysis. Experience with the Data Bricks platform for data analytics. Experience working with healthcare data, including patient complaints, product feedback, and regulatory requirements. Qualifications A Master's degree with relevant experience, a Bachelor's degree with extensive experience, or a Diploma with a substantial background in Data Science and related fields. Soft Skills Problem-Solving: Excellent analytical skills to perform exploratory and targeted data analyses. Communication: Strong communication skills to prepare reports and present insights and recommendations to cross-functional teams. Collaboration: Ability to work with data engineers on data quality assessment and data cleansing, as well as with technical teams in the development and deployment of analytics solutions. Proactiveness: High degree of initiative, with the ability to manage workload and translate market information to drive continuous improvement.

We are seeking an experienced Senior Data Scientist to be a part of our analytics team and take charge of impactful projects. This role necessitates a profound comprehension of statistical analysis, machine learning, and data-focused strategy, with an emphasis on crafting and implementing innovative analytics solutions to address intricate business requirements. The ideal candidate will possess extensive hands-on experience, robust technical acumen, and demonstrated leadership skills to steer a team of data scientists and machine learning engineers. Your responsibilities will include utilizing advanced statistical techniques to scrutinize extensive datasets, unveiling trends and patterns that bolster data-driven decision-making. You will also be tasked with identifying and outlining use cases that underpin business strategies, leveraging insights from data to create value and direct strategic initiatives. In addition, you will evaluate the data analytics maturity of the organization through descriptive data analysis to assess existing capabilities. You will formulate and present use cases for advanced analytics, encompassing diagnostic, predictive, and prescriptive models to enrich data utilization. As a Senior Data Scientist, you will apply your hands-on proficiency in Python and data science, employing a spectrum of machine learning algorithms for various tasks such as regression, classification, natural language processing (NLP), and operational research. Your role will also involve implementing, enhancing, and managing complex models to ensure scalability and efficacy. Furthermore, you will leverage your expertise in large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to construct sophisticated applications, including chatbots and other NLP-based solutions. Communication is key in this role, as you will be expected to convey intricate analytics insights to stakeholders, lead customer meetings, and propose actionable, data-driven solutions. You will be responsible for developing solutions that align with business objectives by translating business requirements into impactful, data-driven solutions. Encouraging a solution-oriented mindset within the team and concentrating on delivering analytics solutions that enhance decision-making and drive value will be pivotal. Moreover, you will lead a team of data scientists and machine learning engineers, offering mentorship, technical guidance, and project oversight. Ensuring that team projects align with business goals, emphasizing quality and timely delivery, is crucial. To qualify for this role, you should have at least 5-7 years of practical experience in data science, machine learning, and statistical analysis. A proven track record in managing and mentoring a team of data scientists and engineers is essential. Proficiency in Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch) is required. Key Skills: - Strong knowledge of machine learning techniques, encompassing regression, classification, NLP, and operational research. - Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. - Exceptional problem-solving skills with a focus on delivering actionable business insights. - Excellent communication, presentation, and interpersonal skills. - Ability to work both independently and collaboratively in a fast-paced, dynamic environment.,

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 candidate for the position at hand, you are expected to have a strong background in Computer Science, Electronics, Operational Research, Production Planning, and Software Engineering. With a minimum of 6+ years of experience in Advanced Planning & Scheduling, you should be adept at managing a team and possess above-average abstraction and analytical skills. Your role will involve executing and designing projects and implementations for customers, along with experience in implementing optimizers. Furthermore, familiarity with Agile projects, particularly methodologies like Scrum and frameworks such as SAFe, will be crucial. Your exposure to the field of workforce management and APS software is a prerequisite, while experience with PSI Metals software is considered a bonus. A customer-oriented mindset, coupled with a result-oriented and proactive attitude, will be essential for success in this role. In addition to the technical requirements, soft skills play a vital role in this position. Being a team player with a positive attitude is highly valued. Effective oral and written communication skills in English will also be advantageous. Joining our team will provide you with the opportunity to contribute your expertise in a dynamic and collaborative environment.,

This position is at the intersection of technology, business processes, and business vision. As a Technology/Digital Transformation Specialist, you are tasked with the critical responsibility of guiding through the journey of modernizing and streamlining operations & offerings through digital technology. The role encompasses a variety of tasks, from assessing current technological infrastructures to proposing innovative solutions aligned with strategic business goals. It requires analytical prowess, technological fluency, and visionary thinking. This role is ideal for those passionate about driving change and excelling in environments requiring technical and interpersonal skills. Perform an assessment of technology/digital needs and develop strategies for leveraging emerging technologies to drive business growth and transformation. Define technology vision, roadmap, and provide recommendations on technology/digital transformation strategies. Manage technology tools, platforms, and processes for smooth workflows. Collaborate with various functions to implement successful digital transformation, manage dependencies, and ensure resource planning. Act as a technology evangelist to build awareness and understanding across internal teams. Lead a technology team to deliver significant business value through automation, creation of tools, and accelerators. Implement technology solutions to digitize services, support training, and drive service changes for better customer experience. Manage risk, opportunities, and dependencies across ongoing transformation programs. Provide leadership to technical resources in delivering on the transformation roadmap. Stay abreast of industry trends, leverage innovation management best practices, and build and maintain positive relationships with stakeholders. Required Skills And Qualifications: - Master's degree in data science, Machine Learning, Operational Research, Computer Science, Engineering, or related field. - 12-15 years" experience in software engineering and product management. - Proven track record of leading product, GenAI/ML projects from conception to deployment. - Experience in managing the product lifecycle, design patterns, standards, and best practices. - Strong leadership, communication, collaboration skills, and ability to thrive in ambiguous requirements. - Familiarity with DevOps practices, microservices architecture, and distributed systems. Why Join Us Join a collaborative and innovative team with opportunities for career growth and development. Work on cutting-edge technologies and challenging projects with a competitive compensation and benefits package. If you are passionate about driving innovation, leading engineering teams, and delivering high-quality solutions, we encourage you to apply for this exciting opportunity.,

Mandatory Skills Data Science, ML, DL, Operational Research, RapidMiner, Python, Tensorflow, Pytorch, Django, SQL, Linear programming (LP), mixed integer linear programming MILP), optimization Preferred Skills NLP, Gen AI, LLM, RAG, Lanchain, MLOps Job Description / Roles & Responsibilities (in Detail) Mandatory • Strong understanding of Data Science, machine learning and deep learning principles and algorithms. • Proficiency in programming languages such as Python, TensorFlow, and PyTorch. • Must have RapidMiner hands on working experience . • Experienced with Implemeting Optimization solutions via Operational Research methods . • Must have Forecasting experince / knowledge . • Ability to work with large datasets and knowledge of data preprocessing techniques. • Strong Backend Python developer, experience in applying machine learning techniques using TensorFlow, Pytorch • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies • Expert in applying ML techniques such as: forecasting, classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques • Optimize model performance and scalability for real-time inference and deployment. • Experiment with different hyperparameters and model configurations to improve AI model quality. • Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards • Proven ability to apply, debug, and develop machine learning models • Strong problem-solving and critical thinking skills for complex AI problems. • Excellent communication and teamwork abilities to collaborate with cross-functional teams. Good to have: • Finance Project Background will be good to have. • SQL experience/ knowledge. • NLP, LLM, Lang chain and Gen AI • Banking exposure