Job description The International Analytics team India is looking for experienced product analyst who will support product, engineering and leadership team with insights gained from analysing product and business data. They must have a proven ability to drive business results with their data-based insights. What you will do The International Analytics team India is looking for experienced product analyst who will support product, engineering and leadership team with insights gained from analysing product and business data. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The candidate will work across a family of areas (eg customer engagement, digital experience, merchandising, Supply chain, Financial services, Operations) to help set the vision for creating amazing products. Define metrics, drive roadmaps, and uncover opportunities to improve our products. Have a strong bias towards action, enjoy finding patterns amidst chaos, and have demonstrated success in using analytics to drive business impact. Has the technical skills to surface insights quickly, and the interpersonal skills to communicate those insights in a way that persuades action. Work with your team to develop new analytic methods Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Partner with product leaders, designers, and engineering managers to improve our products and prioritize projects for impact. Represent the product analytics team in key meetings and business reviews with our executive team and founders Provide data driven insights and deliver recommendations that address opportunities for product improvements Use statistical methods to generate and test hypotheses. This includes: Performing analytical deep-dives to identify problems, opportunities and actions required; Collecting, processing, and cleaning data from disparate sources using SQL, R, Python, or other scripting and statistical tools Managing the design, execution, and analysis of A/B tests; driving rigor and testing culture through product teams What you will Bring 5-10 years of experience of working in a high growth analytics team. Fluency in SQL, as we'll as an understanding of statistical analysis, and common pitfalls of data analysis. Basic understanding of query logic is a MUST. Bachelors degree in Statistics, Computer Science, Business Administration or related field. Relevant experience in Product analytics will be a PLUS. Excellent written and verbal communication skills for coordinating across teams. Strong problem solving skills with an emphasis on product development. Led or worked independently on major initiatives. Minimum Qualifications... Option 1: Bachelors degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years experience in data analysis, data science, statistics, or related field. Option 2: Masters degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years experience in data analysis, data science, statistics, or related field Role: Data Analyst Industry Type: Retail Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate, B.B.A/ B.M.S in Management PG: Any Postgraduate Key Skills Supply chainComputer scienceData analysisProduct engineeringUsageNetworkingMerchandisingInformation technologySQLPython

Job description Amazons vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The role requires team-work and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. 1) Ability to do exploratory analysis: Fetch data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs . 4) Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer life cycle 5) Work with cross functional teams About the team The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. - 3+ years relevant experience in financial/business analysis - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - 3+ years of experience with Advanced SQL, advanced Excel and Data visualization tool like Tableau, Power BI etc. - Strong acumen and relevant experience in hypothesis testing and exploratory data analysis - 5+ years of experience in B2C business across marketing analytics, consumer research, consumer loyalty functions - Ambitious individual with a strong analytic approach and bias for data based judgement, Inquisitive mindset with proven problem solving ability, and a passion for big data - Proven track record in leveraging customer insights for influencing business teams - Advanced SQL / data mining skills - Extensive experience in reports/dashboards automation - Experience with statistical analysis (R/python) - Experience working with data visualization tools and creating data visualization concepts (Tableau preferred, D3 is a bonus) - E commerce experience is preferred read more Key Skills Consumer researchData analysisAutomationBusiness analysisMachine learningHypothesis Testingdata visualizationData miningSQLPython

Job description Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon s customersDo you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every dayAre you excited by the prospect of analyzing and modeling terabytes of data to solve real world problemsDo you like to own end-to-end business problems/metrics and directly impact the profitability of the companyDo you like to innovate and simplifyIf yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the companys bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques - 2+ years of building models for business application experience - PhD, or Masters degree - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development read more Key Skills UnixC++LinuxAnalyticalMachine learningData structureshigh performance computingData miningPythonBusiness operations

Job description As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking team, you are an integral part of an agile team that is responsible to enhance, build, and own US Broker Dealer Platform which is critical to many of our businesses. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of technical and functional challenges that span legacy and new technology stacks. Job responsibilities Leads a large legacy technology platform, but with an objective to propose and lead the transformation agenda Collaborates with other business units to align technology initiatives Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering* concepts and 5+ years applied experience Extensive experience in the technology sector, particularly within financial services. Previous roles in technology management and software development. Proven track record of leading technology projects and teams. Post Trade Knowledge - Specifically Trade Processing, Affirmation/Confirmation, Settlement, Positions & Balance Management, Accounting is essential. Experience managing high volume real-time and complex EOD systems. Strong analytical/problem-solving skills. Strong communication and interpersonal skills. Strategic thinker with a focus on innovation. Preferred qualifications, capabilities, and skills Exposure to Broad ridge BPS platform. End to End Trade life cycle knowledge, covering Prime Broker or Wealth Management clients is preferred. Prior experience in leading a large-scale Mainframe platform and/or legacy modernization is preferred. Current platforms are legacy (Mainframe, COBOL, DB2, CICS) in nature. Prior exposure to Mainframe is a plus Distributed(Java, Python) and cloud technology (AWS, Azure) exposure would be a plus. Role: Software Development - Other Industry Type: Financial Services Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Management accountingWealth managementDb2AnalyticalCicsCobolAgileInvestment bankingFinancial servicesPython

Job description - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazons IN businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users. - 3+ years of building models for business application experience - PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development read more Key Skills UnixC++LinuxAnalyticalMachine learningData structureshigh performance computingData miningPythonBusiness operations

Job description We are seeking experienced and passionate engineers to join our collaborative and innovative team. Zynga s mission is to Connect the World through Games by building a truly social experience that makes the world a better place. The ideal candidate needs to have a strong focus on building high-quality, maintainable software that has global impact. The Analytics Engineering team is responsible for all things data at Zynga. We own the full game and player data pipeline - from ingestion to storage to driving insights and analytics. As a Data Engineer, you will be responsible for the software design and development of quality services and products to support the Analytics needs of our games. In this role, you will be part of our Analytics Engineering group focusing on advanced technology developments for building scalable data infrastructure and end-to-end services which can be leveraged by the various games. We are a 120+ organization servicing 1500 others across 13 global locations. Your responsibilities will include Build and operate a multi PB-scale data platform. Design, code, and develop new features/fix bugs/enhancements to systems and data pipelines (ETLs) while adhering to the SLA. Identifying anomalies, inconsistencies in data sets and algorithms and flagging it to the relevant team and / or fixing the bugs in the data workflows where applicable. Follow the best engineering methodologies towards ensuring performance, reliability, scalability, and measurability. Collaborate effectively with teammates, contributing to an innovative environment of technical excellence. You will be a perfect fit if you have bachelors degree in Computer Science, or a related technical discipline (or equivalent). 3+ years of strong data engineering design/development experience in building large-scale, distributed data platforms/products. Advanced coding expertise in SQL & Python/JVM-based language. Exposure to heterogeneous data storage systems like relational, NoSQL, in-memory etc Knowledge of data modeling, lineage, data access and its governance. Proficient in AWS services like Redshift, Kinesis, Lambda, RDS, EKS/ECS etc Exposure to open source software, frameworks and broader powerful technologies (Airflow, Kafka, DataHub etc). Shown ability to deliver work on time with attention to quality. Excellent written and spoken communication skills and ability to work optimally in a geographically distributed team environment. Role: Software Development - Other Industry Type: Gaming Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceSoftware designData modelingCodingOpen sourceGamingAnalyticsSQLPythonRecruitment

Job description As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device - SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably ABOUT SAP S/4HANA Cloud ERP, Public Edition - Product & Engineering SAP S/4HANA Cloud ERP is a prominent cloud-based enterprise software solution in the market. The Product & Engineering department is dedicated to delivering exceptional products and dependable engineering services to both internal SAP teams and external customers. The Site Reliability Engineering (SRE) team primarily focuses on DevOps and SRE activities of Joule and AI use cases, leveraging top-tier CI/CD pipelines to automate deployments, streamline tasks, ensure system reliability, monitor issues, and swiftly resolve problems. Consequently, the contributions of our team are crucial for the success of SAP S/4HANA Cloud ERP, impacting numerous developers, teams, and customers within the SAP ecosystem. POSITION OVERVIE We are looking to hire an Associate MLOps Engineer to support our AI (Joule) DevOps and Site Reliability Engineering (SRE) activities. This role involves managing and improving existing AI CI/CD tools and related applications, monitoring various AI capabilities and their performances. It is a hands-on position where we take ownership of our deliverables and are responsible for ensuring their smooth operation. You will be required to code and test in Jenkins, Docker, GitHub, and Python. We seek a colleague who will work diligently to tackle challenges and deliver results PRODUCT TECHNOLOGY STACK Scripting Languages - Python, Groovy, Shell etc CI/CD Tools - Jenkins, Azure, Docker, Kubernetes, GitHub etc Cloud Technologies - BTP will be preferred. Static Code Checks - ES Lint, Sonar etc EXPECTATIONS AND TASKS Demonstrate excellent quality, development & delivery skills in scrum teams, working in short development and release cycles. Work with geographically distributed teams seamlessly. Exhibit learning agility by quickly upskilling on new tasks and concepts. You are to follow agile software engineering methods and develop software including coding, testing, quality assurance, and documentation Take ownership of tools and make sure the software and services are reliable MINIMUM JOB QUALIFICATIONS An Engineering Degree Strong analytical and problem-solving skills An excellent understanding of data structures & algorithms Introduction to the concepts of functional and object-oriented paradigms WORK EXPERIENCE Between 2 - 4 years of relevant experience Experience in DevOps and SRE is desirable. Role: DevOps Engineer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Software designProduct engineeringManager Quality AssuranceCodingAgileBack officeData structuresScrumAnalyticsPython

Job description The Customer Insights Analytics and Data Growth & Platform teams are responsible for building analytics and data solutions to accelerate growth for Adobes ~$18B annual recurring revenue Digital Media business We are looking for a Senior Business Intelligence Analyst with a strong track record of taking end-to-end ownership and delivering scalable solutions to enable our Mobile Analytics team and partners in a fast-paced and multifaceted business environment! This person will be a creative problem solver who is passionate about building innovative solution plus resourceful, collaborative, and insightful with the ability to work independently under time constraints We need an exceptional BI analyst to uncover deep insights, enabling business users to make faster, data-driven decisions In this role, you will demonstrate your critical thinking and technical expertise across multiple domains, driving the growth of our mobile user base The position entails delivering vital insights to support GTM teams in decision-making and tracking business performance using a variety of key metrics What you'll Do Analyze and interpret complex mobile data to deliver actionable insights through weekly/biweekly RTB (Run the Business) operations and deep-dive analyses. Develop and maintain BI dashboards and reports to track critical metrics for mobile analytics. Collaborate with multi-functional teams to understand business requirements and translate them into analytical solutions. Conduct deep-dive analyses to identify trends, patterns, and opportunities for optimization. Design and implement data models and algorithms to improve mobile user experience and engagement. Present findings and recommendations to partners in a clear and concise manner. Stay informed about industry trends and standard methodologies in mobile analytics and business intelligence. What you need to succeed This position requires a Bachelors Degree in Computer Science or a related technical field. 5+ years of experience in Business Operations, Strategy, or Analytics at a top management consulting firm, SaaS organization or financial services institution. Proficiency in data extraction, transformation and analysis tools such as SQL, Python/PySpark, R as we'll as data visualization tools like Tableau or Power BI. Must have strong hands-on working experience of more than one Database Platform (Ex: Databricks, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse etc) with leading commercial cloud platforms like Azure, AWS and/or GCP. Experience in mobile analytics domain with a clear understanding of mobile app metrics and user behavior analysis. Strong written and verbal communication, interpersonal and presentation skills, with ability to engage and effectively present complex data insights to technical and non-technical audiences. Outstanding problem-solving and analytical skills including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations. Partner with multi-functional teams across various regions, including partner teams, to identify their analytical needs and deliver actionable insights. Experience with A/B testing and experimentation methodologies. Familiarity with SaaS business models and mobile app ecosystems is a plus. High degree of intellectual curiosity and ability to absorb new concepts quickly. Self-starter with an ability to work through ambiguity and prioritize multiple projects and partners. Experience working with a diverse distributed team across a complex, matrixed environment. Strong alignment with Adobes Core Values: Raise the bar, Create the future, Own the outcome, Be genuine Role: Business Intelligence & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer sciencePostgresqlAnalyticalMySQLBusiness intelligenceAdobeAnalyticsFinancial servicesSQLPython

Job description Job Title Lead Data Scientist Job Description Job Description About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career. Join us, and together, we'll transform our industry, making a lasting difference for brighter lives and a better world. You light the way. More about the role we're looking for a Data Scientist to work on Deep learning, machine learning, data mining, and statistical modelingfor providing predictive and prescriptive enterprise analytics. Successful candidates will be expected to guide a team of Data Scientists, investigate state of the art techniques in advanced machine learning and statistical modeling, and design, develop, and deploy state-of-art, scalable systems for innovative analytics applications across various functional areas (eg Finance, Sales, Marketing, Supply Chain, etc). Applicants will be expected to work with a diverse set of data sources, such as time series data, graph data, semi-structured and unstructured data, and build statistical / machine-learning / Deep Learning/Gen AI models in support of on-demand, real-time analytic services. The applicant should also have strong skills in explaining the analytic models and outcomes to business stakeholders. you'll be part of the Signify s Enterprise Data & Analytics team, based in Bangalore. More about you Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field 4+ years of hands-on experience in data science or a related field with demonstrated history of delivering analytics models and solutions Strong programming skills in Python, PySpark or other statistical programming languages Strong foundation in machine learning and deep learning algorithms and expertise in natural language processing (NLP) and computer vision techniques Experience with popular deep learning frameworks such as TensorFlow and PyTorch Research and explore the latest advancements in generative AI, including techniques like natural language processing (NLP), computer vision, and machine learning Develop and implement generative AI models and algorithms to address specific business challenges Train and fine-tune generative AI models using large datasets and industry-specific knowledge to improve accuracy and efficiency Knowledge of cloud platforms like AWS, GCP, or Azure Strong problem-solving skills, communication skills and the ability to think creatively and strategically with a focus on business outco Everything we'll do for you Opportunity to work on some of the highly complex and challenging business problems across a variety of functional and business domains. Competitive salary depending on experience. Extensive set of tools to drive your career, such as a personalized learning platform, training and coaching Role: Data Scientist Industry Type: Miscellaneous Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Supply chainComputer scienceStatistical programmingComputer visiondeep learningGCPMachine learningNatural language processingData miningPython

Job description Deep expertise in AWS/Azure (EC2, VPC, CloudWatch, cost optimization, Reserved Instances). Strong knowledge of Docker, Kubernetes, and container orchestration. Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, Helm). Experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps). Strong background in networking (VPN, static routes, HAProxy, Nginx, OpenSSH). Hands-on experience with security best practices (IAM, firewalls, DDoS protection, certificate management). Familiarity with monitoring tools (Prometheus, Grafana, ELK Stack). Scripting skills in Bash/PowerShell/Python for automation. Knowledge of Proxmox, VM management, and hardware troubleshooting. Experience with Kafka/Zookeeper, AWS Lambda, and API Gateway. Key Responsibilities Design, implement, and maintain highly available, scalable cloud infrastructure. Optimize AWS/Azure cost structures while ensuring performance and reliability. Automate deployments, monitoring, and recovery processes using CI/CD tools. Manage Kubernetes clusters, Docker environments, and microservices architecture. Implement security best practices for authentication, network policies, and data protection. Troubleshoot and resolve system outages, performance bottlenecks, and deployment failures. Collaborate with development teams to streamline build, test, and release pipelines. Ensure 24/7 system uptime with proactive monitoring and incident response. Document infrastructure, processes, and disaster recovery plans. Role: DevOps Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationNetworkingHP data protectorVPNPowershellDisaster recoveryInfrastructureAWSMonitoringPython