11 Scientist Ii Jobs

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

Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our business Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide. Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing Design experiments and interpret the results to draw detailed and impactful conclusions. Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. Present findings to senior leadership to drive business decisions ---- Basic Qualifications ---- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Hands-on experience building and deployment ML models Ability to use a language like Python or R to work efficiently at scale with large data sets Significant experience in setting up and evaluation of complex experiments Experience with exploratory data analysis, statistical analysis and testing, and model development Knowledge in modern machine learning techniques applicable to marketplace, platforms Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop ---- Preferred Qualifications ---- Advanced SQL expertise Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Proven aptitude toward Data Storytelling and Root Cause Analysis using data Advanced understanding of statistics, causal inference, and machine learning Experience designing and analyzing large scale online experiments Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills

Proficient in Mobile SDK development (iOS and Android preferred) The SDK will provide mechanisms to connect with backend platform services and enable Server Driven UI Documentation : Create and maintain high-quality documentation to ensure team members can easily adopt new processes and tools. Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent experience. 10+ years of experience with mobile development - preferably with experience in developing SDKs Familiarity with services, and ML based code generators (Cursor, CoPilot) is preferred

Adobe Firefly Gen AI Models and services group seeks a Firefly models & Services architect for generative AI models. We need a dedicated architect with expertise in machine learning to support the creation, improvement, and deployment of model pipelines for Adobes top products in various domains. As a Firefly model architect, you will join an outstanding team of ML and service engineers building the future of digital experiences. You will help set long-term technical strategy and work across multiple Adobe teams to architect the pipelines of the future foundation models at Adobe. You will make important architecture decisions and prioritize model optimization experiments. You will have the opportunity to develop novel ideas to advance the creative world through features in Adobes products and reach millions of people worldwide! Job Responsibilities Help architect and optimize large-scale foundation model pipelines in Generative AI Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Collaborate with outstanding Applied researchers and engineers to bring ideas to production Provide technical leadership and mentorship for junior team members Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs and test strategies. What you'll need to succeed Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML 12+ years of experience 3+ years as a Lead/Architect Excellent communication and technical leadership skills Experience in tech leading a large number of contributors on time-sensitive and business-critical GenAI projects Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done Preferred experience: Experience training or optimizing models (CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms Good publication record in Computer Science, AI/ML, or related fields

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and are of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world s largest product catalog, handle billions of requests a day with plans to grow it by an order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding and labeling problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables labeling of advertising assets and moderation of millions of ads submitted each day. - 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 with popular deep learning frameworks such as MxNet and Tensor Flow - Experience building machine learning models or developing algorithms for business application

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. - 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

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world s largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day. - 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 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 in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning