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applied scientist ii

Microsoft

<div>
 
 Overview
 
 
 
 We are looking for Applied Scientist with expertise in areas like Machine Learning, Deep learning, Large Language Models, Reinforcement Learning, Causal Inference to join our team at Microsoft Ads India. This role offers a unique opportunity to work on some of the most complex and high-impact challenges in online advertising, where your innovations will directly shape user experience, advertiser success, and the future of the digital advertising ecosystem.
 
 
 At Microsoft Ads, you'll be solving web-scale optimization problems, from selecting relevant ads to modeling user interaction with ad content. The models and solutions you develop will impact millions of users daily and drive revenue growth for Microsoft ads and the Microsoft Ads platform. This is a great opportunity for someone passionate about artificial intelligence, optimization at scale, and transformative innovation.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive AI innovation: Lead the development of cutting-edge models that select and rank ads, predict user interaction, and optimize advertiser outcomes. You will leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems.
 </li>
 <li>
 Optimize at scale: Design, build, and deploy models that operate at web scale, ensuring they are robust, scalable, and high performing in real-world settings. You will directly improve user engagement, ad relevance, and advertiser return on.
 </li>
 <li>
 Perform large-scale online and offline experiments to continuously optimize and validate model performance, ensuring real-time impact on user and advertiser experiences.
 </li>
 <li>
 Work closely with worldwide research, engineers, data scientists, and product teams to integrate your solutions into Microsoft Ads systems, driving cross-team collaboration and delivering impactful end-to-end solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's &amp; Masters Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
 </li>
 <li>
 Experience with large-scale models and deep learning algorithms and frameworks such as PyTorch.
 </li>
 <li>
 Experience building, deploying, and optimizing large-scale AI/ML models in real-world applications, especially in NLP, Information Retrieval, or Computer Vision.
 </li>
 <li>
 Publications in top-tier conferences like NeurIPS, ICML, CVPR, SIGIR, KDD, ACL, EMNLP, ICLR, WWW, WSDM or similar, demonstrating expertise in advancing the field.
 </li>
 <li>
 Experience in online advertising, search engines, or recommendation systems and game theory and mechanism design.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 PhD in Machine Learning, AI, or related fields.
 </li>
 <li>
 Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference.
 </li>
 <li>
 Background in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist II

Amazon

<div>
 
 Description
 
 
 
 Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon&rsquo;s customers, achieving on-time delivery in a cost-effective manner.
 
 
 We are looking for an enthusiastic, customer obsessed, Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon.
 
 
 Candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes.
 
 
 This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.
 
 
 
 Responsibilities May Include
 
 
 
 <ul>
 <li>
 Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
 </li>
 <li>
 Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans
 </li>
 <li>
 Managing multiple projects simultaneously
 </li>
 <li>
 Working with technology teams and product managers to develop new tools and systems to support the growth of the business
 </li>
 <li>
 Communicating with and supporting various internal stakeholders and external audiences
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building models for business application experience
 </li>
 <li>
 PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </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>
 Experience using Unix/Linux
 </li>
 <li>
 Experience in professional software development
 
 
 </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 - Karnataka - A66
 
 
 Job ID: A3158642
</div>

Applied Scientist II, Last Mile Science

Uber

<div>
 
 About The Role
 
 
 
 
 We are seeking a highly skilled and motivated Staff Data Scientist to join our Applied AI Team.
 
 In this role, you will work together with the team building our Merchant agent tool. This tool aims to scale easy-to-use, personalized support to our merchants to help them better succeed on our marketplace.
 
 
 <ul>
 <li>
 What the Candidate Will Do ----
 </li>
 <li>
 Design, develop and interpret agentic models via analyses and experiments to evaluate their effectiveness.
 </li>
 <li>
 Feed these insights back to shape the technical execution and strategic direction.
 </li>
 <li>
 Develop data-driven insights to identify opportunities to improve the product or build new products.
 </li>
 <li>
 Present findings to various constituents: technical, business and executive audiences.
 </li>
 <li>
 Basic Qualifications ----
 </li>
 <li>
 Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
 </li>
 <li>
 Minimum 5 years of industry experience as a Data Scientist or equivalent.
 </li>
 <li>
 Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
 </li>
 <li>
 Ability to use Python/R to work efficiently at scale with large data sets.
 </li>
 <li>
 Proficiency in SQL.
 </li>
 <li>
 Preferred Qualifications
 </li>
 <li>
 Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
 </li>
 <li>
 Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
 </li>
 <li>
 Excellent communication skills across technical, non-technical, and executive audiences.
 </li>
 </ul>
</div>

Staff Scientist, UberEats Merchant AI

Ericsson

<div>
 
 Join our Team
 
 
 
 About this opportunity:
 
 
 Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards.
 
 
 What you will do:
 
 
 <ul>
 <li>
 Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively.
 </li>
 <li>
 Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
 </li>
 <li>
 Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others.
 </li>
 <li>
 Develop solutions using on-premise and cloud-based machine learning.
 </li>
 <li>
 Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill.
 </li>
 <li>
 Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson.
 
 
 </li>
 </ul>
 The skills you bring:
 
 
 <ul>
 <li>
 DevSecOps.
 </li>
 <li>
 Business Understanding.
 </li>
 <li>
 Artificial Intelligence Systems.
 </li>
 <li>
 Software Engineering.
 </li>
 <li>
 Data Management.
 </li>
 <li>
 Ericsson Business Intelligence and Analytics Competence.
 </li>
 <li>
 Open-Source Programming Languages.
 </li>
 <li>
 Data Preprocessing.
 </li>
 <li>
 Statistics.
 </li>
 <li>
 Cloud Development.
 </li>
 <li>
 Machine Learning Algorithms.
 
 
 </li>
 </ul>
 Experience - 8 to 10 years
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) ||
</div>

Data Scientist

<div>
 
 Description
 
 
 
 Alexa+ is Amazon&rsquo;s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalised, and effective experience. Alexa Sensitive Content Intelligence (ASCI) team is developing responsible AI (RAI) solutions for Alexa+, empowering it to provide useful information responsibly. The team is currently looking for Senior Applied Scientists with a strong background in NLP and/or CV to design and develop ML solutions in the RAI space using generative AI across all languages and countries.
 
 
 A Senior Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a dynamic, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.
 
 
 We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders.
 
 
 You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Define and own the scientific vision and roadmap for ML solutions for building end-to-end Responsible AI solutions
 </li>
 <li>
 Lead and grow a high-performing team of Applied Scientists, providing technical guidance, mentorship, and career development.
 </li>
 <li>
 Guide model and system design to build innovative ML solutions at Alexa scale using state-of-the-art NLP and CV techniques.
 </li>
 <li>
 Ensure models are production-ready, scalable, and robust through close partnership with stakeholders. Partner with Product, Operations, and Engineering leaders to enable proactive decision-making and corrective actions.
 </li>
 <li>
 Own end-to-end business metrics, directly influencing customer experience and trust.
 </li>
 <li>
 Help contribute to the broader ML community through publications, conference submissions, and internal knowledge sharing.
 
 
 </li>
 </ul>
 A day in the life
 
 
 As an Applied Science Manager on the Alexa Sensitive Content team, you'll lead a team of scientists and ML engineers building AI systems that keep Alexa safe and trustworthy for millions of users worldwide. Your role combines technical leadership with strategic decision-making and collaborating with product teams and policy experts to deliver engaging and safe experiences across Amazon devices. You'll stay current with advances in generative AI to design, develop, and own state-of-the-art NLP solutions. You will be coaching scientists to identify and mitigate risks early, building more robust ML systems. You'll balance near-term delivery with long-term innovation, ensuring solutions are robust, interpretable, and scalable. Your work directly impacts delivery reliability, cost efficiency, and customer experience at massive scale.
 
 
 
 About The Team
 
 
 
 The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.
 
 
 The term &ldquo;sensitive content&rdquo; includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term &ldquo;content&rdquo; refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of scientists or machine learning engineers management experience
 </li>
 <li>
 Knowledge of ML, NLP, Information Retrieval and Analytics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience building machine learning models or developing algorithms for business application
 </li>
 <li>
 Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
 </li>
 <li>
 PhD
 
 
 </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 14 SEZ
 
 
 Job ID: A3157100
</div>

Applied Science Manager, Alexa Sensitive Content Intelligence (ASCI)

Kong

<div>
 
 Are you ready to power the World's connections?
 
 
 
 If you don&rsquo;t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we&rsquo;re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
 
 
 
 About The Role
 
 
 
 The Engineering Manager for the AI Platform team will lead a team of AI/ML engineers, applied scientists, and platform engineers building Kong's next-generation AI capabilities. You'll be responsible for building and scaling a high-performing team, driving technical execution, and collaborating with product and leadership to define the roadmap for AI features across Kong's platform. This role requires a strong technical background in either AI/ML or platform engineering, proven people management experience, and the ability to navigate the rapidly evolving AI landscape while delivering production-ready systems at scale.
 
 
 
 What You'll Do
 
 
 
 Lead, mentor, and grow a team of 6-10 engineers, including AI/ML engineers, applied scientists, and platform engineers.
 
 
 Build a strong engineering culture focused on innovation, quality, collaboration, and continuous learning in the AI domain.
 
 
 Drive technical execution across multiple parallel initiatives, ensuring timely delivery of high-quality AI features.
 
 
 Partner with product managers to define roadmaps, prioritize work, and align team efforts with business objectives.
 
 
 Conduct regular 1:1s, provide coaching and feedback, and support career development for all team members.
 
 
 Lead hiring efforts to scale the team, including defining role requirements, conducting interviews, and making hiring decisions.
 
 
 Collaborate with cross-functional teams, including Gateway, Dev Portal, and other product teams, to integrate AI capabilities.
 
 
 Establish engineering best practices for AI/ML development, including evaluation frameworks, safety guardrails, and responsible AI principles.
 
 
 Drive technical strategy and architectural decisions for AI platform services and infrastructure.
 
 
 Manage team performance through goal setting, performance reviews, and fostering accountability.
 
 
 Balance innovation and experimentation with pragmatic delivery of production systems.
 
 
 Communicate technical progress, challenges, and strategic recommendations to senior leadership.
 
 
 Own incident response and operational excellence for AI platform services.
 
 
 Advocate for the team's needs in terms of resources, tooling, and organizational support.
 
 
 
 What You'll Bring
 
 
 
 3+ years of engineering management experience leading teams of 5+ engineers.
 
 
 8+ years of total software engineering experience with a strong technical background in one or more of AI/ML engineering, distributed systems, or platform engineering.
 
 
 Demonstrated success building and scaling high-performing engineering teams.
 
 
 Experience managing teams working on AI/ML systems, large language models, or ML infrastructure (strongly preferred).
 
 
 Strong technical credibility with the ability to engage in architecture discussions, code reviews, and technical decision-making.
 
 
 Experience hiring, onboarding, and developing engineers at different seniority levels.
 
 
 Proven ability to drive execution on complex, ambiguous projects with multiple stakeholders.
 
 
 Strong communication skills with the ability to influence across technical and non-technical audiences.
 
 
 Experience working in fast-paced environments and balancing competing priorities.
 
 
 Understanding of modern AI/ML technologies, including LLMs, vector databases, and ML infrastructure.
 
 
 Knowledge of cloud platforms (AWS preferred) and container orchestration (Kubernetes).
 
 
 Experience with agile development methodologies and iterative delivery practices.
 
 
 Track record of fostering inclusive and collaborative team environments.
 
 
 Ability to provide technical guidance while empowering teams to make decisions.
 
 
 Experience managing globally distributed teams across multiple time zones.
 
 
 
 Bonus Points
 
 
 
 Experience managing teams building production AI/ML applications or ML platforms.
 
 
 Background as an AI/ML engineer, data scientist, or ML platform engineer.
 
 
 Experience with AWS AI/ML services (Bedrock, SageMaker) or similar platforms.
 
 
 Knowledge of LLM application development, prompt engineering, or agentic workflows.
 
 
 Experience in API Gateway, developer tools, or platform engineering domains.
 
 
 Understanding of responsible AI practices, AI safety, and alignment principles.
 
 
 Experience managing teams through 0-to-1 product development.
 
 
 Track record of technical writing, conference speaking, or thought leadership in AI/ML.
 
 
 Experience with performance management and difficult conversations.
 
 
 Background in building MLOps infrastructure or ML engineering platforms.
 
 
 Familiarity with Kong's products or the API management ecosystem.
 
 
 Experience managing teams supporting high-availability SaaS or PaaS offerings.
 
 
 Knowledge of compliance frameworks and building audit-ready AI systems.
 
 
 Experience collaborating with research teams or applied scientists.
 
 
 Active involvement in AI/ML communities or open-source contributions.
 
 
 
 About Kong
 
 
 
 Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become &ldquo;API-first&rdquo; and securely accelerate AI adoption. Kong helps organizations globally &mdash; from startups to Fortune 500 enterprises &mdash; unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit www.konghq.com or follow us on X @thekonginc.
 
 
</div>

Engineering Manager, Konnect Core Platform

The Cigna Group

<div>
 
 Job Objective
 
 
 
 We are looking for an experienced
 
 Scrum Master
 
 to join our
 
 International Health
 
 portfolio. Scrum Master's primary focus will be to create an environment where the teams can deliver high quality, valuable software with a &ldquo;one team&rdquo; approach. Scrum Master will typically focus on upholding the values of Scrum, facilitating meetings and discussions, and removing blockers, so that team can focus on product delivery.
 
 
 Serves as the &ldquo;servant leader&rdquo; of the Scrum team by removing impediments and helping the team remain successful and on schedule. Must have a sufficient understanding of technology to lead team members and help them overcome their development roadblocks. Scrum Master must also understand business strategy and objectives and be able to ensure that development work is prioritized by business value and results align with objectives. Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives. Uses deep professional knowledge and acumen to advise functional leaders. Recognized internally as a subject matter expert on Scrum.
 
 
 
 Essential Duties
 
 
 
 <ul>
 <li>
 Guiding the team and organization on how to use Agile/Scrum practices and values to delight customers.
 </li>
 <li>
 Cross collaborates with members of the team from various functions, example data scientist, data analyst, data governance, technology, engineering, quality analysts, product owners, etc. and bring them together as &ldquo;One Team&rdquo; to drive outcomes.
 </li>
 <li>
 Guiding the team on how to get the most out of self-organization.
 </li>
 <li>
 Assessing the Agile maturity of the team and coach the team to achieve higher levels of maturity, at a pace that is sustainable and comfortable for the team and organization.
 </li>
 <li>
 Removing impediments or guiding the team to remove impediments by finding the right personnel to remove the impediment.
 </li>
 <li>
 Building a trusting and safe environment where problems can be raised without fear of blame, or being judged, with an emphasis on problem solving, openness, honesty, and respect.
 </li>
 <li>
 Facilitating getting the work done without coercion, assigning, or dictating the work.
 </li>
 <li>
 Facilitating discussion, decision making, and conflict resolution.
 </li>
 <li>
 Assisting with internal and external communication, improving transparency, and radiating information.
 </li>
 <li>
 Supporting and educating the Product Owner, especially with respect to grooming and maintaining the product backlog.
 </li>
 <li>
 Providing all support to the team using a servant leadership style whenever possible and leading by example.
 </li>
 <li>
 Facilitating daily scrum, sprint planning, demo, retrospective, PI planning breakout and all essential SAFe events.
 </li>
 <li>
 Helping team identify their capacity, risks, and dependencies.
 
 
 </li>
 </ul>
 
 Preferred Skills/Experience
 
 
 
 <ul>
 <li>
 Experience in working in Health Insurance domain.
 </li>
 <li>
 At least 4 years of experience in SAFe Scrum Master/Team Coach role.
 </li>
 <li>
 Any of the following certification:
 </li>
 <ul>
 <li>
 CSM (Certified Scrum Master)
 </li>
 <li>
 SSM (Certified SAFe Scrum Master)
 </li>
 <li>
 PSM (Professional Scrum Master)
 </li>
 <li>
 Second level Scrum Master Certification (CSP, PSM II)
 </li>
 </ul>
 <li>
 Knowledge of other agile frameworks: Kanban, XP, etc.
 </li>
 <li>
 Knowledge and/or experience with widely successful Agile techniques: User Story creation including Acceptance Criteria, TDD, Continuous Integration, Continuous Deployment, Pair Programming, Automated Testing, Agile Games.
 </li>
 <li>
 Experience applying a wide variety of well-documented patterns and techniques, example: Burndown techniques, Retrospective formats, handling bugs, etc.
 </li>
 <li>
 Excellent communication and mentoring skills.
 </li>
 <li>
 Hands-on experience with tools like Jira, Confluence, SharePoint, Mural.
 </li>
 <li>
 Ability to prepare and track team dashboards and plans in Jira.
 
 </li>
 </ul>
 
 About The Cigna Group
 
 
 
 Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
</div>

Scrum Master Senior Analyst

Explore 38+ Applied scientist ii in Mangaluru this January. Find roles across top companies and apply now to boost your career.