397 Svm Jobs - Page 4

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Roles and responsibilities The candidate will be responsible for developing predictive models using wide range of data sources (both structured and unstructured) The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approachCandidate should possess good communication and can communicate effectively with a wide range of audiences, both technical and businessAbility to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomesHe / She would be responsible for creating Presentations, reports etc to present theanalysis findingsTechnical expertise The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning techniques like Clustering, Logistic regression, Random Forest, Gradient Boosting Machine, SVM, Deep learning etc.Good knowledge of model development/data wrangling experience using PythonTools experience - Python (mandatory), R (preferred)Experience processing large amount of data using BigData technologies is preferredFunctional/Other expertiseGood exposure to BFSI domain especially insuranceEducational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutionsRelevant Experience: 5+ years of hands on experience in developing predictive modelsExperience with Agile project delivery methodology and knowledge of using JIRA is highly preferredPricing (Good to have)Work Experience on pricing modelling using Exposure and Experience rating methodologiesExperience in pricing tools/ raters on Excel or RulebookKnowledge on Frequency , Severity modelling and Loss cost modelling Qualifications Graduate

Job Description Internal Audit - Embedded Data - Associate - Hyderabad What We Do Internal Audit’s mission is to independently assess the firm’s internal control structure, including the firm’s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management’s control measures. In Doing So, Internal Audit Communicates and reports on the effectiveness of the firm’s governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm’s control culture and conduct risks; and Monitors management’s implementation of control measures Goldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm’s businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering Who We Look For Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm’s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. Embedded Data Analytics In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm’s compliance with laws and regulations, and advising management on developing smart control solutions. Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the same Your Impact As part of the third line of defense, you will be involved in independently assessing the firm’s overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm’s internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities. We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into firm’s control environment Responsibilities Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing Build production ready analytical tools to automate repeatable and reusable processes within IA Build and manage relationships and communications with Audit team members Basic Qualifications 3+ years of experience with a minimum of Bachelor’s in Computer Science, Math, or Statistics Experience with RDBMS/ SQL Proficiency in programming languages, such as Python, Java, or C++ Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division Driven and motivated and constantly taking initiative to improve performance Preferred Qualifications Experience with advanced data analytics tools and techniques Familiarity with text analytics and NLP using python Familiarity with machine learning algorithms and exposure to supervised and unsupervised learning - Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering and Patterns Recognition techniques Experience with analytical/ statistical programs such as SAS, SPSS, and R Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.htm

Job Reference # 315647BR Job Type Full Time Your role Do you have a knack for technology? Are you at your best when supporting others? We’re looking for someone like that to: Provide projects support for the Red Hat Enterprise Linux and Solaris distributed infrastructure, preferably worked in Storage Migration especially NAS, DC Exit, OS Migration, Unix estate wide remediation projects and BCM/Isolation tests, Power down activities. Provide global production support for the Unix distributed infrastructure while on shift. Address incidents picked up by the monitoring systems alerting on global Unix infrastructure within a timely manner, Resolve problem tickets allocated to team on central management tools (e.g. SNOW), Implement requests for service as generated in manual and automated ticketing systems (e.g. SNOW, etc) Regular verbal and written communication with business partners and other support teams to clarify details of incidents or service requests to maintain production stability and meet established SLA’s. Operational knowledge of key technologies, such as RHEL 6/7/8, Oracle Solaris 10/11, SAN/NAS storage, autofs, NFS, SVM/LVM/VxVM, VCS/Sun Cluster/RHCS, Commvault, Blade technology Your team You will be a member of 24x7 Operational support group supporting Global Unix environment within the bank involving weekends and may be night shifts. The team is responsible to maintain quality, stability of the Unix/Linux environment and supporting business managers in planning IT project requirements. Your expertise University degree with 5+ years' experience in supporting UNIX based distributed computing environment with a large number of systems (2000+), a solid understanding of a UNIX-based operating system, preferable Solaris 10/11 and Red Hat Enterprise Linux 7/8 , Knowledge of Veritas Cluster Volume Manager /concepts and operations , Knowledge of Veritas Cluster server. Basic understanding of the Banking and Finance industries with previous job experience a plus. Exposure to enterprise environment ITIL based processes know-how , Issue Management and effective escalation management , Global User support exposure Familiar with Agile and SRE practices Experience in Automation, TOIL reduction and Observability dashboards using tools like Amelia, Powerbi etc Understanding and working knowledge of Cloud / Virtualization Technologies and cloud concepts, preferably in Azure. Strong OS troubleshooting skills in a distributed computing environment Solid knowledge in NFS, Networking, SAN/NAS technologies. Strong in Infrastructure as code technologies , Puppet /Chef/Ansible. Basic configuration knowledge of Oracle SPARC, IBM blade, Lenovo, Dell and HP servers Can Code in languages like Python, Java Scripting, Shell scripting, following SDLC Usage of tools like Gitlab, Jenkins, Service Now Understanding and working knowledge of authentication and naming services, including NIS, LDAP with Kerberos, Centrify, CyberArk, Power Broker, DNS, NTP, etc Should be able to collaborate globally with the business, vendor consultants, support groups, IT Infrastructure departments and other UBS business units About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Quantum Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 14+ years of experience in Data Science and Machine Learning. Working knowledge of Quantum Engineering Quantum Machine Learning (Data encoding, HHL Algorithm implementation, Quantum linear regression, Euclidean Distance calculations, K-Means clustering, PCA, SVM implementation using Qiskit) Quantum Algorithms (Qiskit, Deutsch Jozsa, Bernstein Vajirani, Simon’s Algorithms) Quantum Deep Learning (Hybrid Quantum Neural Networks) Open-source Quantum Frameworks Qiskit based programming Quantum Optimization (Variational Quantum Eigensolver, Expectation Computation, VQE algorithm, Max-cut graph clustering, Adiabatic Theorem, Approximate Optimization Algorithm, etc) Python as a Programming Language EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Your Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Staff Data Scientist who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. Analytics at Innovaccer Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success A Day in the Life Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. Define and execute on the quarterly roadmap What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 7+ years of experience in Data Science (healthcare experience will be a plus) Strong written and spoken communication skills Strong hands-on experience in Python - building enterprise applications alongwith optimization techniques. Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - knowledge of implementing agentic workflows is a plus. Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow. Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines. Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques. Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Experience in developing and deploying production ready models Knowledge of implementing an MLOps framework. Possess a customer-focused attitude through conversations and documentation We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our Px department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings, and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer’s EPx-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,

JOB_POSTING-3-72656-1 Job Description Role Title: Manager, Cross Platform Strategy Analytics (09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose Manager , Cross Platform Strategy Analytics (individual contributor) role is a part of India Analytics Hub (IAH). Our Analytics team comprises of data analysts who focus on improving Customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. The role needs clear understanding of business requirement , ask right questions , build & review prototype , work with data to generate actionable insights to address project delivery enabling Synchrony’s growth and profitability. The candidate must be skilled in data & analytics , has ‘Go Getter Attitude’ , Goal Oriented and should be able to deliver independently. Key Responsibilities Deliver independently on a variety of problems by leveraging experience in Data and Analytical Tools Able to work on Cross platform initiatives and helps build scalable solutions across platforms Partner on strategic ideas and POCs targeting revenue growth & larger business adoption Adherence to timely delivery, accuracy and documentation in line with Audit Procedures Mentor/ Guide team members on tools and processes Required Skills/Knowledge BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Minimum 2+ years of hands on Experience in SQL or SAS or Tableau or Open Source Tools with ability to independently build queries for data extraction & aggregation Comprehend key concepts & processes in Retail Finance, translate them into quantitative attributes/metrics Ability to Define Methodology, present insights to larger teams and influence decision making Desired Skills/Knowledge 2+ years of analytics/data science experience in Financial Services Industry Experience in working with Python and R, preferably in a Linux-based cloud environment such as AWS Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Work Timings: Flexible Shifts For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Data Analytics

JOB_POSTING-3-72656 Job Description Role Title: Manager, Cross Platform Strategy Analytics (09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose Manager , Cross Platform Strategy Analytics (individual contributor) role is a part of India Analytics Hub (IAH). Our Analytics team comprises of data analysts who focus on improving Customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. The role needs clear understanding of business requirement , ask right questions , build & review prototype , work with data to generate actionable insights to address project delivery enabling Synchrony’s growth and profitability. The candidate must be skilled in data & analytics , has ‘Go Getter Attitude’ , Goal Oriented and should be able to deliver independently. Key Responsibilities Deliver independently on a variety of problems by leveraging experience in Data and Analytical Tools Able to work on Cross platform initiatives and helps build scalable solutions across platforms Partner on strategic ideas and POCs targeting revenue growth & larger business adoption Adherence to timely delivery, accuracy and documentation in line with Audit Procedures Mentor/ Guide team members on tools and processes Required Skills/Knowledge BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Minimum 2+ years of hands on Experience in SQL or SAS or Tableau or Open Source Tools with ability to independently build queries for data extraction & aggregation Comprehend key concepts & processes in Retail Finance, translate them into quantitative attributes/metrics Ability to Define Methodology, present insights to larger teams and influence decision making Desired Skills/Knowledge 2+ years of analytics/data science experience in Financial Services Industry Experience in working with Python and R, preferably in a Linux-based cloud environment such as AWS Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Work Timings: Flexible Shifts For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Data Analytics

JOB_POSTING-3-72656-4 Job Description Role Title: Manager, Cross Platform Strategy Analytics (09) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose Manager , Cross Platform Strategy Analytics (individual contributor) role is a part of India Analytics Hub (IAH). Our Analytics team comprises of data analysts who focus on improving Customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. The role needs clear understanding of business requirement , ask right questions , build & review prototype , work with data to generate actionable insights to address project delivery enabling Synchrony’s growth and profitability. The candidate must be skilled in data & analytics , has ‘Go Getter Attitude’ , Goal Oriented and should be able to deliver independently. Key Responsibilities Deliver independently on a variety of problems by leveraging experience in Data and Analytical Tools Able to work on Cross platform initiatives and helps build scalable solutions across platforms Partner on strategic ideas and POCs targeting revenue growth & larger business adoption Adherence to timely delivery, accuracy and documentation in line with Audit Procedures Mentor/ Guide team members on tools and processes Required Skills/Knowledge BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Minimum 2+ years of hands on Experience in SQL or SAS or Tableau or Open Source Tools with ability to independently build queries for data extraction & aggregation Comprehend key concepts & processes in Retail Finance, translate them into quantitative attributes/metrics Ability to Define Methodology, present insights to larger teams and influence decision making Desired Skills/Knowledge 2+ years of analytics/data science experience in Financial Services Industry Experience in working with Python and R, preferably in a Linux-based cloud environment such as AWS Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Work Timings: Flexible Shifts For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group Data Analytics

Your Role The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. Data is our bread and butter for innovation. We are looking for a Staff Data Scientist who understands healthcare data and can leverage the data to build algorithms to personalize treatments based on the clinical and behavioral history of patients. We are looking for a superstar who will define and build the next generation of predictive analytics tools in healthcare. Analytics at Innovaccer Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success A Day in the Life Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them Define technical architecture to productize Innovaccer's machine-learning algorithms and take them to market with partnerships with different organizations Proven ability to break down complex business problems into machine learning problems and design solution workflows Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle Define and execute on the quarterly roadmap What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 7+ years of experience in Data Science (healthcare experience will be a plus) Strong written and spoken communication skills Strong hands-on experience in Python - building enterprise applications alongwith optimization techniques Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - knowledge of implementing agentic workflows is a plus Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Experience in developing and deploying production ready models Knowledge of implementing an MLOps framework Possess a customer-focused attitude through conversations and documentation We offer competitive benefits to set you up for success in and outside of work. Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where And How We Work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our Px department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer Inc. is the data platform that accelerates innovation. The Innovaccer platform unifies patient data across systems and care settings, and empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. Innovaccer's EPx-agnostic solutions have been deployed across more than 1,600 hospitals and clinics in the US, enabling care delivery transformation for more than 96,000 clinicians, and helping providers work collaboratively with payers and life sciences companies. Innovaccer has helped its customers unify health records for more than 54 million people and generate over $1.5 billion in cumulative cost savings. The Innovaccer platform is the #1 rated Best-in-KLAS data and analytics platform by KLAS, and the #1 rated population health technology platform by Black Book. For more information, please visit innovaccer.com. Check us out on YouTube, Glassdoor, LinkedIn, and innovaccer.com.

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 – AI Engineering PwC’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—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 – 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’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. 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. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 3 to 7 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

osition: Data Scientist Location: Chennai, India (Work from Office) Experience: 2–5 years About the Opportunity: Omnihire is seeking a Data Scientist to join a leading AI-driven data‐solutions company. As part of the Data Consulting team, you’ll collaborate with scientists, IT, and engineering to solve high-impact problems and deliver actionable insights. Key Responsibilities: Analyze large, structured and unstructured datasets (SQL, Hadoop/Spark) to extract business-critical insights Build and validate statistical models (regression, classification, time-series, segmentation) and machine-learning algorithms (Random Forest, Boosting, SVM, KNN) Develop deep-learning solutions (CNN, RNN, LSTM, transfer learning) and apply NLP techniques (tokenization, stemming/lemmatization, NER, LSA) Write production-quality code in Python and/or R using libraries (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, NLTK/spaCy) Collaborate with cross-functional teams to scope requirements, propose analytics solutions, and present findings via clear visualizations (Power BI, Matplotlib) Own end-to-end ML pipelines: data ingestion → preprocessing → feature engineering → model training → evaluation → deployment Contribute to solution proposals and maintain documentation for data schemas, model architectures, and experiment tracking (Git, MLflow) Required Qualifications: Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or a related field 2–5 years of hands-on experience as a Data Scientist (or similar) in a data-driven environment Proficiency in Python and/or R for statistical modeling and ML Strong SQL skills and familiarity with Big Data platforms (e.g., Hadoop, Apache Spark) Demonstrated experience building, validating, and deploying ML/DL models in production or staging Excellent problem-solving skills, attention to detail, and ability to communicate technical concepts clearly Self-starter who thrives in a collaborative, Agile environment Nice-to-Have: Active GitHub/Kaggle portfolio showcasing personal projects or contributions Exposure to cloud-based ML services (Azure ML Studio, AWS SageMaker) and containerization (Docker) Familiarity with advanced NLP frameworks (e.g., Hugging Face Transformers) or production monitoring tools (Azure Monitor, Prometheus) Why Join? Work on high-impact AI/ML projects that drive real business value Rapid skill development with exposure to cutting-edge technologies Collaborative, Agile culture with mentorship from senior data scientists Competitive compensation package and comprehensive benefits

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. If this is you, then consider an opportunity with RAIK Solutions under our Product Development Team. Product Development Team (PDT) is a talent model that is tailored specifically for long-term, life changing, sustainable innovative solutions on latest technologies to solve problems with technology. Responsibilities Selecting features, building, and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Using NLP to extract information from unstructured text Processing, cleansing, and verifying data integrity used for analysis Doing ad-hoc analysis and presenting results in a user-friendly way Creating automated anomaly detection systems and constant tracking of their performance Extending the company’s data with third-party sources of information when needed Create technical documentation for code, architecture, and application function Ability to work on multiple projects in parallel to meet the company’s needs Flexible to work on different sets of technologies as and when required Positive, upbeat personality Qualifications Bachelor’s or master’s degree in data science or related field. Minimum three years of relevant experience. Knowledge, Skills and Abilities Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable. Experience with data visualization tools like D3.js, GGplot, etc.. Proficiency in using query languages such as SQL. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase Good, applied statistics skills, such as distributions, statistical testing, regression, etc Good scripting and programming skills Excellent communication and inter-personal skills Ability to lead in a high-pressure, fast paced and changing environment to ensure objectives are met in a timely manner and achieved within utmost quality Strong analytical and problem-solving skills Ability to create insightful and progressive functional multi-year strategy

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Work with Qualcomm's engineering team to develop Performance Models for the next generation System-on-chip (SoC) for smartphone, IoT, Auto and other product categories. Work with design team to develop IP Models for Peripherals like PCIe, Ethernet, USB, UFS. Develop the SoC platform and verify the IP/System Level use cases. Work with Hardware & Software teams to understand the design requirements, specification and interface details. You will have opportunity to suggest architecture and design changes which can optimize the overall power/performance/thermal for the chipset. The successful candidate will - Be part of Qualcomm performance team. Some of the key skills which are required (1-2 key skills will be important): Experience in SystemC/TLM 2.0 modelling. Understanding of protocols in one of more IPs like PCIe, CXL, Ethernet, USB and UFS will be desirable. Good understanding of C/C++ based model development and SoC integration. Good understanding of bus protocols like AXI, AHB, QSB Experience working in team where close collaboration is required between multiple stakeholders Understanding of DDR design and its performance aspects at SOC level Understanding of SOC DV/VI/RUMI/performance validation Keywords "TLM2.0 | Ethernet | PCIe | CXL", "SystemVerilog & Ethernet & PCIe | CXL". Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Work with Qualcomm's engineering team to develop Performance Models for the next generation System-on-chip (SoC) for smartphone, IoT, Auto and other product categories. Work with design team to develop IP Models for Peripherals like PCIe, Ethernet, USB, UFS. Develop the SoC platform and verify the IP/System Level use cases. Work with Hardware & Software teams to understand the design requirements, specification and interface details. You will have opportunity to suggest architecture and design changes which can optimize the overall power/performance/thermal for the chipset. The successful candidate will - Be part of Qualcomm performance team. Some of the key skills which are required (1-2 key skills will be important): Experience in SystemC/TLM 2.0 modelling. Understanding of protocols in one of more IPs like PCIe, CXL, Ethernet, USB and UFS will be desirable. Good understanding of C/C++ based model development and SoC integration. Good understanding of bus protocols like AXI, AHB, QSB Experience working in team where close collaboration is required between multiple stakeholders Understanding of DDR design and its performance aspects at SOC level Understanding of SOC DV/VI/RUMI/performance validation Keywords "TLM2.0 | Ethernet | PCIe | CXL", "SystemVerilog & Ethernet & PCIe | CXL". Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As verification engineer candidate will be responsible to manage UFS/Ethernet/PCIe/high speed IP verification at one or more SoC (System On Chip) during project work. Responsibilities : Understand the design specification and implementation, define the verification scope, develop test plans, tests, and the verification infrastructure and verify the correctness of the design. Responsible to implement and analyze system Verilog assertion and coverage(code, toggle, functional) . Work alongside other members of the verification team to analyze, develop and execute verification test cases and able to provide relevant solution to issue. Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks. Adhere to quality standards and good test and verification practices. B.E/B. Tech/M.E/M. Tech in electronics with 8+ year experience in verification domain. Prior work experience on IP level or Soc level. Prior work on UFS (Universal Flash Storage),Ethernet and PCIe Protocol is desirable. Good understanding of processor based Soc level verification which includes native ,Verilog ,system Verilog and UVM mix environment. Hand on experience with verification tools such as VCS, waveform analyzer and third party VIP integration (such as Synopsys VIPs). Hands on experience in UVM. C/C++ ,System Verilog verification language. Good understanding of AXI-AMBA protocol variants. Can work with scripting language (shell, Makefile, Perl ) Strong understanding of design concepts and ASIC flow. Good problem solving , analytical and debugging skill is must. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job description: Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Mandatory Skills: Generative AI . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Location Gurugram, Haryana, India This job is associated with 2 categories Job Id GGN00002106 Information Technology Job Type Full-Time Posted Date 07/16/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job overview and responsibilities United Airlines’ Enterprise Data Analytics department partners with business and technology leaders across the company to transform data analytics into a competitive advantage. An offshore team based in Delhi, India will work closely with this group and support it with complementing skills and capabilities. The key objectives are to improve operating performance, boost customer experience and drive incremental revenue by embedding data in decision making across all levels of the organization. An entry level data analyst will be responsible for data, analytics and modeling to dig deep into details as well as to assess the big picture. Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques Continuously develop and improved analysis methodologies Analyze and model data and working from concept through to execution Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree Quantitative field like Math, Statistics, Operations Research At least 2+ years of experience in modeling/ machine learning required Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling Strong knowledge of either R or Python Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree

DESCRIPTION We are looking for a Strategic account manager responsible for the growth and development of some of the most influential sellers on the Amazon.in marketplace. The ideal candidate thrives in an ambiguous environment where they must develop, implement and iterate on business strategies to deliver growth and positive experience for sellers. The candidate should be hands-on, detail oriented, have relentlessly high standards and operates as a business owner who understands key levers to achieve results through their team. In this role, the candidate will be responsible for achieving the top line nos. for the business by driving strategic business and operational objectives. The candidate will drive the creation and execution of strategies to achieve business goals through his team by focusing on selection expansion, leveraging Fulfillment channels for faster delivery, developing merchandising strategy and improving catalog quality. The candidate will use his category expertise to drive seller interactions & act as a Voice of Seller influencing Marketplace policies on Seller Fees and Policies, in areas like Reimbursements, Returns, Seller Claims etc. The candidate would need to actively collaborate with other stakeholders like Category Management, Fulfillment, Finance, Product & Advertising teams to align programs and initiatives to identify potential growth avenues and drive seller success. If you are interested in growing brands and businesses on Amazon, we’re interested in talking to you! Key job responsibilities Business Growth Contribute to business strategy development and identify correct input metrics that drive growth and improve the end customer & seller experience, in collaboration with cross-functional teams and other Amazon programs. Possess the ability to manage and deliver against complex goals where strategy is not defined. Able to make tradeoffs between short term seller needs and longer-term strategic investment. Relationship Management Build and cultivate strong relationships with sellers in your portfolio along with internal stakeholders; be a trusted advisor and a business advocate. Process Excellence Use customer feedback, market growth trends, and analyze key metrics to contribute to strategic development of features and programs that accelerate seller’s growth and improve their experience working with Amazon. Spot areas of unnecessary process or inefficiencies and work to simplify. Identify, optimize, and scale improvements that can benefit a large set of customers, e.g. driving efficiencies through tools and processes, simplifying SOPs, etc., working across multiple organizations. Develop mechanisms to create accountability. BASIC QUALIFICATIONS 2+ years of sales experience Experience analyzing data and best practices to assess performance drivers PREFERRED QUALIFICATIONS Experience in e-commerce - - Experience meeting revenue targets and quotas - - Experience in e-commerce - - Experience working in a fast-paced and highly cross-functional organization 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’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Amazon.in Sales, Advertising, & Account Management

Company Description SVM Infraestate Pvt. Ltd., established in 2010, specializes in developing cost-effective solutions to reduce waste and promote green living in urban areas. The company, initially operational in Delhi/NCR, has expanded its services across India. SVM Infraestate is an authorized distributor of Excel Ind. Mumbai, and also partners with SINTEX Industries, Alfa Term, and HLL Life Care. The company promotes products such as GXT Green biodegradable garbage bags. Role Description This is a full-time hybrid role for a Process Coordinator, located in Noida with some work-from-home flexibility. The Process Coordinator will manage daily tasks, including overseeing business process improvements, project management, quality management, and maintaining communication across departments. Ensuring efficiency and effectiveness in operations is key to this role. Qualifications Strong Analytical Skills and ability to implement Business Process Improvement Project Management and Quality Management experience Excellent Communication and interpersonal skills Proven ability to work both independently and within a team Bachelor’s degree in Business, Management, or related field Experience in the waste management or environmental services industry is a plus

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. You should possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms, as well as a strong familiarity with deep learning methods for text analytics. Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning is essential for this role. Additionally, experience in time series analysis with real-world datasets, familiarity with technologies like Flask, FastAPI, and Hug, and being an expert Python programmer are key requirements for this position. You should have a proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. Collaboration with domain experts, a passion for making a meaningful impact, and strong problem-solving skills are highly valued attributes. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence. If you are a Data Scientist with expertise in Core Python, Machine Learning, and a strong interest in an internship, this opportunity is perfect for you. Walk-ins are welcome for candidates who meet the specified qualifications and key skills outlined above.,

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job Overview And Responsibilities United Airlines’ Enterprise Data Analytics department partners with business and technology leaders across the company to transform data analytics into a competitive advantage. An offshore team based in Delhi, India will work closely with this group and support it with complementing skills and capabilities. The key objectives are to improve operating performance, boost customer experience and drive incremental revenue by embedding data in decision making across all levels of the organization. An entry level data analyst will be responsible for data, analytics and modeling to dig deep into details as well as to assess the big picture. Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques Continuously develop and improved analysis methodologies Analyze and model data and working from concept through to execution Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree Quantitative field like Math, Statistics, Operations Research At least 2+ years of experience in modeling/ machine learning required Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling Strong knowledge of either R or Python Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree GGN00002106

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role: Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You: :• Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL • •Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, •Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, •Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil •Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. •Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost •Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

- 2+ years of sales experience - Experience analyzing data and best practices to assess performance drivers We are looking for a Strategic account manager responsible for the growth and development of some of the most influential sellers on the Amazon.in marketplace. The ideal candidate thrives in an ambiguous environment where they must develop, implement and iterate on business strategies to deliver growth and positive experience for sellers. The candidate should be hands-on, detail oriented, have relentlessly high standards and operates as a business owner who understands key levers to achieve results through their team. In this role, the candidate will be responsible for achieving the top line nos. for the business by driving strategic business and operational objectives. The candidate will drive the creation and execution of strategies to achieve business goals through his team by focusing on selection expansion, leveraging Fulfillment channels for faster delivery, developing merchandising strategy and improving catalog quality. The candidate will use his category expertise to drive seller interactions & act as a Voice of Seller influencing Marketplace policies on Seller Fees and Policies, in areas like Reimbursements, Returns, Seller Claims etc. The candidate would need to actively collaborate with other stakeholders like Category Management, Fulfillment, Finance, Product & Advertising teams to align programs and initiatives to identify potential growth avenues and drive seller success. If you are interested in growing brands and businesses on Amazon, we’re interested in talking to you! Key job responsibilities Business Growth · Contribute to business strategy development and identify correct input metrics that drive growth and improve the end customer & seller experience, in collaboration with cross-functional teams and other Amazon programs. · Possess the ability to manage and deliver against complex goals where strategy is not defined. Able to make tradeoffs between short term seller needs and longer-term strategic investment. Relationship Management · Build and cultivate strong relationships with sellers in your portfolio along with internal stakeholders; be a trusted advisor and a business advocate. Process Excellence · Use customer feedback, market growth trends, and analyze key metrics to contribute to strategic development of features and programs that accelerate seller’s growth and improve their experience working with Amazon. Spot areas of unnecessary process or inefficiencies and work to simplify. · Identify, optimize, and scale improvements that can benefit a large set of customers, e.g. driving efficiencies through tools and processes, simplifying SOPs, etc., working across multiple organizations. Develop mechanisms to create accountability. Experience in e-commerce - - Experience meeting revenue targets and quotas - - Experience in e-commerce - - Experience working in a fast-paced and highly cross-functional organization 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’re applying in isn’t listed, please contact your Recruiting Partner.