data scientist

scientist i, protein biology Jobs in Mangaluru

scientist i, protein biology

software developer 3

software development engineer iii Jobs in Mangaluru

software development engineer iii

software engineer iii

applied scientist 3

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC3
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 3

PwC Acceleration Center India

<div>
 
 PwC AC is hiring for Data scientist
 
 
 Apply and get a chance to work with one of the Big4 companies #PwC AC.
 
 
 
 
 
 
 Job Tit
 
 le
 
 :
 
 Data scientist
 
 
 
 Years of Experienc
 
 e: 3-7 years
 
 
 
 Shift Timin
 
 gs: 11AM-8PM
 
 
 
 Qualificati
 
 on: Graduate and above(Full time)
 
 
 
 
 
 
 About PwC CTIO &ndash; AI Engineering
 
 
 
 PwC&rsquo;s
 
 Commercial Technology and Innovation Office (CTIO)
 
 is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
 
 AI Engineering
 
 team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior Associate &ndash; Data Science/ML/DL/GenAI
 
 to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
 </li>
 <li>
 Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
 </li>
 <li>
 Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
 </li>
 <li>
 Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
 </li>
 <li>
 Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
 </li>
 <li>
 Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
 </li>
 <li>
 Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
 </li>
 <li>
 Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 3 to 7 years
 
 of experience in Data Science/ML/AI roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
 </li>
 <li>
 Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 , including prompt engineering, LLM fine-tuning, and deployment.
 </li>
 <li>
 Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
 </li>
 <li>
 Strong knowledge of NLP techniques, transformer architectures, and text analysis.
 </li>
 <li>
 Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
 </li>
 <li>
 Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
 </li>
 <li>
 Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
 </li>
 <li>
 Exposure to deploying AI models via APIs and integration into larger data ecosystems.
 </li>
 <li>
 Strong understanding of model operationalization and lifecycle management.
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
 </li>
 <li>
 Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
 </li>
 <li>
 Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Team Expectations
 
 
 <ul>
 <li>
 Strong written and verbal communication; able to explain complex models to business stakeholders.
 </li>
 <li>
 Ability to independently document work, manage requirements, and self-drive technical discovery.
 </li>
 <li>
 Desire to innovate, improve, and automate existing processes and solutions.
 </li>
 <li>
 Active contributor to team knowledge sharing, technical forums, and innovation drives.
 </li>
 <li>
 Strong interpersonal skills to build relationships across cross-functional teams.
 </li>
 <li>
 A mindset of continuous learning and technical curiosity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 (at least two are preferred)
 
 
 
 <ul>
 <li>
 Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
 </li>
 <li>
 Python programming certifications (e.g., PCEP/PCAP).
 </li>
 <li>
 Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
 </li>
 </ul>
 
 
 
 
 
 Why Join PwC CTIO?
 
 
 <ul>
 <li>
 Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
 </li>
 <li>
 Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
 </li>
 <li>
 Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
 </li>
 <li>
 Operate in a startup-like environment within the safety and structure of a global enterprise.
 </li>
 <li>
 Accelerate your career as a deep tech leader in an AI-first future.
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 Job Description
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Proactively source candidates using a variety of unique and innovative channels, including social media, networking events, job boards, and employee referrals.
 </li>
 <li>
 Manage end-to-end recruitment for niche skills such as backend developer, applied scientist&mdash;AI services, big data, SREs, cybersecurity, cloud infrastructure, and other specialized technology areas.
 </li>
 <li>
 Partner closely with hiring managers to understand business needs, provide market insights, and develop tailored sourcing strategies.
 </li>
 <li>
 Build and maintain strong pipelines for current and future talent needs across JAPAC, including India, Singapore, Australia, Malaysia, and Indonesia.
 </li>
 <li>
 Preference for those who have recruited talent from hyperscaler.
 </li>
 <li>
 Effectively manage stakeholders and customers, demonstrating strong influencing and negotiation skills.
 </li>
 <li>
 Manage multiple priorities under tight deadlines, maintaining high-quality standards.
 </li>
 <li>
 Create compelling presentations and deliver insights to business stakeholders.
 </li>
 <li>
 Support employer branding initiatives, including social media and content development.
 </li>
 <li>
 Ensure compliance with all recruitment policies and data privacy regulations.
 
 
 
 </li>
 </ul>
 
 Ideal Experience:
 
 
 
 <ul>
 <li>
 Must have 7+ years of hands-on experience in technical recruiting.
 </li>
 <li>
 Proven experience sourcing for niche technical roles in backend engineering, cloud, AI/ML, big data, and data center environments.
 </li>
 <li>
 Previous exposure to JAPAC region markets and understanding of cultural and business nuances across Singapore, Australia, Malaysia, and/or Indonesia would be an added advantage.
 </li>
 <li>
 Track record of success in engaging multiple stakeholders and managing expectations.
 </li>
 <li>
 Strong experience delivering presentations and preparing business-oriented slide decks.
 </li>
 <li>
 Experience with social branding and digital talent engagement strategies.
 </li>
 <li>
 Ability to multitask and prioritize workload effectively.
 </li>
 <li>
 Excellent communication, stakeholder management, and interpersonal skills.
 
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Prior recruitment experience within a large technology or multinational enterprise, specifically in product-based functions.
 </li>
 <li>
 Familiarity with data privacy, compliance, and best practices in recruitment.
 
 
 
 </li>
 </ul>
 
 How to Apply:
 
 
 
 If you thrive in a dynamic, global environment and have a passion for connecting top talent with exciting opportunities, we would love to hear from you
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Proactively source candidates using a variety of unique and innovative channels, including social media, networking events, job boards, and employee referrals.
 </li>
 <li>
 Manage end-to-end recruitment for niche skills such as backend developer, applied scientist&mdash;AI services, big data, SREs, cybersecurity, cloud infrastructure, and other specialized technology areas.
 </li>
 <li>
 Partner closely with hiring managers to understand business needs, provide market insights, and develop tailored sourcing strategies.
 </li>
 <li>
 Build and maintain strong pipelines for current and future talent needs across JAPAC, including India, Singapore, Australia, Malaysia, and Indonesia.
 </li>
 <li>
 Preference for those who have recruited talent from hyperscaler.
 </li>
 <li>
 Effectively manage stakeholders and customers, demonstrating strong influencing and negotiation skills.
 </li>
 <li>
 Manage multiple priorities under tight deadlines, maintaining high-quality standards.
 </li>
 <li>
 Create compelling presentations and deliver insights to business stakeholders.
 </li>
 <li>
 Support employer branding initiatives, including social media and content development.
 </li>
 <li>
 Ensure compliance with all recruitment policies and data privacy regulations.
 
 
 
 </li>
 </ul>
 
 Ideal Experience:
 
 
 
 <ul>
 <li>
 Must have 7+ years of hands-on experience in technical recruiting.
 </li>
 <li>
 Proven experience sourcing for niche technical roles in backend engineering, cloud, AI/ML, big data, and data center environments.
 </li>
 <li>
 Previous exposure to JAPAC region markets and understanding of cultural and business nuances across Singapore, Australia, Malaysia, and/or Indonesia would be an added advantage.
 </li>
 <li>
 Track record of success in engaging multiple stakeholders and managing expectations.
 </li>
 <li>
 Strong experience delivering presentations and preparing business-oriented slide decks.
 </li>
 <li>
 Experience with social branding and digital talent engagement strategies.
 </li>
 <li>
 Ability to multitask and prioritize workload effectively.
 </li>
 <li>
 Excellent communication, stakeholder management, and interpersonal skills.
 
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Prior recruitment experience within a large technology or multinational enterprise, specifically in product-based functions.
 </li>
 <li>
 Familiarity with data privacy, compliance, and best practices in recruitment.
 
 
 
 </li>
 </ul>
 
 How to Apply:
 
 
 
 If you thrive in a dynamic, global environment and have a passion for connecting top talent with exciting opportunities, we would love to hear from you
 
 
 
 Qualifications
 
 
 
 Career Level - N/A
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Talent Advisor - Contract Role

PhonePe

<div>
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor's or Master&rsquo;s degree
 
 in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 
 6+ years of experience
 
 in data science, machine learning, or applied statistics. Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 <li>
 Strong expertise in
 
 Python, SQL
 
 with proficiency in
 
 machine learning frameworks
 
 such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of
 
 big data technologies
 
 (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in
 
 model deployment
 
 using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in
 
 statistical modeling, predictive analytics
 
 .
 </li>
 <li>
 Experience working with
 
 real-time and batch-processing systems
 
 .
 </li>
 <li>
 Demonstrated ability to
 
 translate business problems into data science solutions
 
 .
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 
 Strong communication and stakeholder management skills
 
 , with the ability to explain technical concepts to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 </ul>
</div>

Thermo Fisher Scientific

<div>
 
 Work Schedule
 
 
 
 Standard (Mon-Fri)
 
 
 
 Environmental Conditions
 
 
 
 Adherence to all Good Manufacturing Practices (GMP) Safety Standards
 
 
 
 Job Title: Scientist III, Protein Biology
 
 
 
 
 Job Location: India, Bangalore
 
 
 
 
 About Company:
 
 
 
 
 About The Company
 
 
 
 Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies &amp; Services makes it easier for customers.
 
 
 
 About Team: Antibody team
 
 
 
 The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using pioneering tools and technologies. The goal of the program is advanced product development and creation of product specific information to promote research use.
 
 
 
 Role &amp; Responsibilities
 
 
 
 
 Role:
 
 
 
 
 To be an integral part of an antibody development team with a focus on performance and specificity using innovative molecular, protein, and cell biology methods.
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Independent experimental planning and execution to meet program goals and schedules.
 </li>
 <li>
 Timely record keeping of results into data sheets and laboratory note-books.
 </li>
 <li>
 Regular mining of literature and keeping oneself up to date with developments in field of antibody development and protein biology. Ideate effectively to recommend improvements in product development and workflows.
 </li>
 <li>
 Compilation and presentation of data in written and oral formats to different audiences including stakeholders and leadership. Active participation in team meetings.
 </li>
 <li>
 Mentoring junior scientists and provide in-lab supervision.
 
 
 </li>
 </ul>
 
 Candidate Requirement:
 
 
 
 
 Education &amp; Experience levels:
 
 
 
 <ul>
 <li>
 Applicants should have Master&rsquo;s with greater than 15 years confirmed R&amp;D experience or PhD with greater than 7 years&rsquo; experience in a life sciences field with a strong focus on molecular biology, protein design &amp; purification, immunology, biotechnology and/or biochemistry. Minimum 3-4 years of Industrial experience is required.
 
 
 </li>
 </ul>
 
 Nature of experience:
 
 
 
 <ul>
 <li>
 Extensive experience and knowledge in protein purification and analysis technologies such as affinity or ion exchange chromatography, SEC, HPLC, and SDS-PAGE. Experience and knowledge of protein affinity measurement platforms and Immunoassays.
 </li>
 <li>
 Extensive experience and familiarity with antibody or protein engineering,
 </li>
 <li>
 Experience with antigen design for immunizations, analysis and identification of epitopic regions desirable.
 </li>
 <li>
 Familiarity or experience in development of conjugation chemistries or performing antibody conjugation.
 </li>
 <li>
 Theoretical or practical experience in antibody development platforms is desirable.
 </li>
 <li>
 Project or work experience in support of relevant skills such as publications, project reports or thesis work.
 </li>
 <li>
 Proficient in MS Office applications such as Word, PowerPoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism.
 
 
 </li>
 </ul>
 The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate with the ability to work with different colleagues.
 
 
 Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
 
 
 We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!
 
 
 ThermoFisher is committed to crafting a diverse work environment that values and respects individuals from all backgrounds. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
 
 
</div>

Scientist III

Amazon

<div>
 
 Description
 
 
 
 Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?
 
 
 Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?
 
 
 Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?
 
 
 If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a Sr. manager of Applied Science who can lead a team of talented scientists to build advanced algorithmic systems that help manage the safety of millions of transactions every day. You will also spearhead initiatives to leverage Generative AI technologies to revolutionize our fraud detection capabilities and create next-generation risk prevention solutions
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Lead a team of scientists in developing machine learning and statistical techniques to create scalable risk management systems, including exploration of GenAI applications
 </li>
 <li>
 Guide team strategy in analyzing Amazon's historical business data to identify risk patterns and trends that inform business decisions
 </li>
 <li>
 Partner with senior leaders to frame business problems, establish scientific vision, and execute strategic roadmaps across the organization
 </li>
 <li>
 Direct research initiatives in novel machine learning approaches and ensure successful implementation of promising solutions
 </li>
 <li>
 Oversee the design, development, and evaluation of highly innovative risk management models
 </li>
 <li>
 Build and maintain strategic partnerships with software engineering teams to ensure successful real-time model implementations and new feature creations
 </li>
 <li>
 Develop and maintain relationships with operations staff to optimize risk management operations
 </li>
 <li>
 Drive the establishment of scalable, efficient, automated processes for large-scale data analyses, model development, validation, and implementation
 </li>
 <li>
 Provide clear, compelling management reporting on team progress, model performance, and business impact.
 </li>
 <li>
 Hire, grow, and develop excellent scientific and analytic talents within the BRP Payment Risk team.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 A Master in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
 </li>
 <li>
 8+ years of building models for business application experience
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Good written and spoken communication skills
 </li>
 <li>
 Experience of building/developing teams, direct and shape the team plan, culture and strategy.
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field
 </li>
 <li>
 10+ years of industry experience in predictive modeling and analysis as a scientist or science manager
 </li>
 <li>
 Experience in managing managers
 </li>
 <li>
 Machine Learning breadth and depth
 </li>
 <li>
 Ability to think creatively and solve complex business and technical problems
 </li>
 <li>
 Skills in SQL/Python/R (or similar)
 </li>
 <li>
 Demonstrated track record of cultivating effective working relationships and driving collaboration across multiple technical and business teams
 </li>
 <li>
 Experience in managing cross-functional projects
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - BLR - DTA
 
 
 Job ID: A3048678
</div>

Sr Manager, Applied Science, BRP Payment Risk ML

<div>
 
 Work Schedule
 
 
 
 Standard (Mon-Fri)
 
 
 
 Environmental Conditions
 
 
 
 Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Cold Room/Freezers -22degreesF/-6degrees C, Fluctuating Temps hot/cold, Laboratory Setting, Loud Noises (Equipment/Machinery), Office, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.), Strong Odors (chemical, lubricants, biological products etc.)
 
 
 
 Job Title: Scientist II, Protein Biology
 
 
 
 
 Job Location: India, Bangalore
 
 
 
 
 About Company:
 
 
 
 
 About The Company
 
 
 
 
 Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $44 billion. Our Mission is to enable our customers to make the world healthier, cleaner, and safer. Whether our customers are accelerating life sciences research, solving analytical challenges, growing efficiency in their laboratories, improving patient health through diagnostics, or developing and manufacturing life-changing therapies, we are here to support them. Our distributed team delivers an outstanding combination of innovative technologies, purchasing convenience, and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD. Our Innovative Laboratory technologies &amp; Services makes it easier for customers.
 
 
 
 
 About Team: Antibody team
 
 
 
 
 The antibody team is involved in engineering and development of antibodies, with a deep focus on reagent quality and specificity. The core activities of team include design, development, purification, conjugation and testing of antibodies in a variety of immunoassay applications using groundbreaking tools and technologies. The goal of the program is product development and creation of product specific information to promote research use.
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 
 To be a member in the molecular biology and sequencing core facility within an antibody development team through the advancement of innovative molecular biology techniques to enable high throughput recombinant antibody platforms.
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Perform in a fast- paced environment towards antibody development &amp; testing
 </li>
 <li>
 Develop next generation methodologies, vector improvements, cloning strategies to facilitate high throughput workflows in recombinant antibody development platforms
 </li>
 <li>
 Informal leadership of team of scientists in matrix style operation, provide technical and operational supervision. Mentoring and training junior scientists in research, design and experimental execution, interpreting data and data presentation to collaborators and partners.
 </li>
 <li>
 Drive conceptualization within teams to enable development of successful protocols for effective transfer to operation teams.
 </li>
 <li>
 Provide inputs and guidance towards driving innovation and cross team collaborations.
 </li>
 <li>
 Partner with supporting functions such as product management, program management, operations, and business development to meet program goals.
 
 
 </li>
 </ul>
 
 Candidate Requirement:
 
 
 
 
 Education &amp; Experience levels:
 
 
 
 <ul>
 <li>
 PhD with up to 3 years experience, or
 </li>
 <li>
 Master&rsquo;s degree with up to 8 years experience
 
 
 </li>
 </ul>
 
 Applicants should have a degree in a relevant life sciences field with a strong focus on next generation molecular biology, sequencing technologies and antibody development technologies.
 
 
 
 
 Nature of experience:
 
 
 
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 Experience with antibody development and engineering including hybridoma, display technologies, single B cell, and other antibody platforms
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 Broad knowledge and experience in molecular biology, vector design, next generation cloning, miniaturizing strategies for high throughput gene to protein, Sanger and next generation sequencing technologies, antibody sequencing, protein and antibody design/engineering
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 Excellent troubleshooting and problem-solving skills to identify and troubleshoot technical challenges and provide suitable solutions
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 Experience in high throughput methods including automation is desirable
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 Experience in establishing new protocols and workflows is desirable
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 Experience leading core facilities for molecular biology and/or sequencing will be a plus
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 Authorship of peer-reviewed publications with post-doctoral experience and a strong, independent understanding of standard and emerging trends in the field are preferred.
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 Flexibility and adaptability to work in a fast-paced research environment.
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 Proficient in MS Office applications such as Word, Powerpoint, Excel and possess a strong statistical knowledge and familiarity with statistical software such as Prism.
 
 
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 The successful candidate will be self-motivated and a self-starter who is excellent at learning and applying new concepts for process or product improvements, possess excellent oral and written communication skills to connect to peers and leadership, and will be an excellent teammate.
 
 
 
 
 Thermo Fisher Scientific is an equal opportunity employer and value diversity at our company. All qualified applicants will receive consideration for employment without discrimination basis race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, protected veteran status, age, genetics, pregnancy, disability or any other legally protected status. Thermo Fisher Scientific aligns with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
 
 
 
 
 We offer attractive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. We offer employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer a company culture that stands for integrity, intensity, involvement, and innovation!
 
 
 
</div>

Scientist II, Molecular Biology

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