7 Scientist Ii Jobs

About Amazon Regulatory Intelligence, Safety, and Compliance (RISC). Amazon RISC s vision is to make Amazon the Earth s most trusted shopping destination for safe and compliant products. Towards this mission, we take a science-first approach to building technology, products and services, that protect customers from unsafe, illegal, controversial, or policy-violating products while offering the optimal selling partner experience. Job Summary We are seeking an exceptional Data Scientist to join a team of experts in the field of AI/ML, and work together to tackle challenging business problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal, large-language-models (LLMs), and vision language models (VLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of images, texts, documents, and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Design and evaluate state-of-the-art algorithms and approaches in generative AI, agentic system, multi-modal classification, intent detection, information retrieval, anomaly and fraud detection. Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Key author in writing high quality scientific papers in internal and external peer-reviewed conferences. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Writing science papers for submission to peer-review venues, and reviewing science papers from other scientists in the team. Contributing to team retrospectives for continuous improvements Driving science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists and engineers building AI/ML solutions to make Amazon the Earth s most trusted shopping destination for safe and compliant products. PhD, or Masters degree with 2+ years of machine learning experience, or bachelor degree with 3+ years of machine learning experience Experience programming in Python, Java, C++, or related language Experience with neural deep learning methods, LLM, and natural language processing Experience with conducting research in a corporate setting Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

Good Analytical handGood command on handling the instruments like UV-Spectrophotometer, Dissolution tester, Analytical Weighing Balance, High Performance Liquid Chromatography Instrument, Gas Chromatography, pH meter, Karl Fischer Apparatus etc. Good commend on documentation part like Data sheet preparation, Method Validation Protocol, Method Validation Report, Method Development Report etc.Handling experience for Method Development Work and Method Validation Work.Good knowledge about guidelines and requirements for US, EU, ROW market work.jobDiscription:To do the analytical work allocated by reporting manager.To operate the critical instrumentation like UV-Spectrophotometer, Dissolution tester, High Performance Liquid Chromatography Instrument, Gas Chromatography etc, as per requirement.To perform Method Development Work and Method Validation Work for different formulations.To read the different guidelines and literatures for analytical work.To maintain the Instruments and equipment available in Analytical laboratory."]

This is your opportunity to work with a world-class team and contribute to crafting outstanding digital experiences. At Adobe, you'll find a collaborative and inclusive environment where your innovative ideas can flourish. Key Responsibilities Design, develop, and optimize scalable software solutions Collaborate with cross-functional teams to define, design, and ship new features Ensure the performance, quality, and responsiveness of applications Troubleshoot and resolve software defects Continuously discover, evaluate, and implement new technologies to improve development efficiency Requirements Proven experience as a senior full stack Java developer. Strong proficiency in JavaScript(Primary), Java(Secondary) and related frameworks. Outstanding problem-solving skills and the ability to work independently Experience with cloud services and RESTful APIs Excellent communication and teamwork skills A bachelors degree in computer science or a related field or equivalent experience

Do you want to use your expertise in translating innovative science into impactful products to develop a new business line in International emerging stores. If you do, International Emerging Stores Payments team would love to talk to you about how to make that a reality. As an applied scientist on our team, you will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables and define the execution roadmap. You will partner with scientists, and engineers on the design, development, testing, and deployment of scalable ML models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership and technical strength. - As an Applied Scientist, ML Applications, you will: - Lead applied scientists to deliver machine-learning and AI solutions to production. - Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers - Advance the teams engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner. - Partner with the engineering team to deploy your models in production. - Partner with scientists from across ML teams within India Consumer Payments to solve complex problems. - Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them. - Mentor and develop junior scientists and developers. - 3+ years of building models for business application experience - PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience building machine learning models or developing algorithms for business application - Experience in professional software development

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Data Scientist II, BIA GPS India Operations Summary: The Data Scientist II will play a crucial role in supporting operational analytics across GPS to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Data Scientist II should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing analytics in the service of our patients around the world. Roles & Responsibilities: Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers. Collaborate with stakeholders to identify business problems, goals, and KPIs to to design, establish and maintain data pipelines, models and business facing reports and dashboards. Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner. Identify and implement enhancement and automation of high-value analytics while ensuring they continue to function efficiently. Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis. Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization. Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation. Provide training, guidance, and mentorship to junior analysts and team members when required. Work hours that provide sufficient overlap with standard east coast US working hours. Skills and competencies Strong analytical thinking and problem-solving skills with the ability to analyse complex data sets and draw meaningful conclusions. Agile problem-solving ability and desire to learn new things and continuously improve. Proficiency in statistical analysis techniques and methodologies. Strong project management skills and the ability to work independently or as part of a team. Solid understanding of digital analytics tools and platforms and version control. Strong communication skills with the ability to present complex information to non-technical stakeholders in a clear manner. Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations. Experience Bachelors or Masters degree in an analytical, engineering, operations research or scientific discipline. Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience. Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau) Experience with major GPS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus. Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus. Experience in the biopharma industry a plus. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Developing and applying custom data models and algorithms to data sets Applying LLM models / internal tools to solve Business problems Preprocessing structured and unstructured data. Processing, cleansing, and validating the integrity of data to be used for analysis Data mining or extracting usable data from valuable data sources To be successful in this role, we re seeking the following: Bachelors degree in computer science engineering or a related discipline, or equivalent work experience required. 9 to 15 years of experience in Data Science Understanding of data preparation techniques, feature engineering techniques, and related ML algorithms Experience in data manipulation, data visualization and analysis: use of structured data tools (e.g., SQL) & proficiency in Python and common machine learning and AI frameworks and packages, such as Scikit-learn, TensorFlow, PyTorch, etc. Basic understanding of LLM architectures, such as GPT, BERT, or Transformer models. Experience in prompt engineering, large language model selection and API model inference. Experience in statistics and probability Experience with visualization tools (e.g. Qlik, Streamlit, Dash, PowerBI) Understanding of various evaluation metrics related to different algorithms

Be part of a team that applies its expertise and knowledge to technical projects, finding innovative, cost-effective means to improve research, techniques, procedures, and products and technologies. You will develop, conduct and evaluate new approaches to meet project objectives faster and more efficiently and you develop and commercialize products & technologies. Key Responsibilities Innovation Cost estimation Prototyping Product assurance Project management Customer interaction Research and Development Design Analysis YOU MUST HAVE Bachelor s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics WE VALUE Industrial design talent Ability to work independently Willingness to learn new technologies Anopen, honest and team oriented personality Eagerness to get involved in hands-on work Creativity Some experience in engineering related field Understanding of industry standards and security practices Some experience with all aspects of technology development