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Senior Data ScientistTechnical skills
•	Programming: Python, R, SQL
•	ML algorithms: 
•	Statistical ML algorithms
•	Deep Neural Network architectures
•	Model ensembling
•	Generative AI models
•	ML for Responsible AI 
•	AI domains - NLP, speech, computer vision, structured data
•	Learning patterns – supervised, unsupervised, reinforcement learning
•	Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
•	Knowledge of different Model fine tuning approaches for Large models
•	Knowledge of datasets, pre-built models available in open community and 3rd party providers
•	Knowledge of software development &amp; architectures
•	Knowledge of hyperscalers &amp; their AI capabilities – Azure, AWS, GCP
•	Knowledge of Model Quantization and Pruning
•	Past experience playing a Data Scientist role Technical skills
•	Programming: Python, R, SQL
•	ML algorithms: 
•	Statistical ML algorithms
•	Deep Neural Network architectures
•	Model ensembling
•	Generative AI models
•	ML for Responsible AI 
•	AI domains - NLP, speech, computer vision, structured data
•	Learning patterns – supervised, unsupervised, reinforcement learning
•	Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
•	Knowledge of different Model fine tuning approaches for Large models
•	Knowledge of datasets, pre-built models available in open community and 3rd party providers
•	Knowledge of software development &amp; architectures
•	Knowledge of hyperscalers &amp; their AI capabilities – Azure, AWS, GCP
•	Knowledge of Model Quantization and Pruning
•	Past experience playing a Data Scientist role

Infosys

Data Scientist

Quantexa EngineersScala and Spark hands-on.
· Quantexa certification and experience of Quantexa project delivery.
· Quantexa ETL
· Quantexa Scoring Strong Design and Development exposure
· Strong communication skills, both written and verbal.
· Highly motivated self-driven with a positive attitude.
· Basic understanding of MS Azure.
· CI/CD pipelines using Jenkins.
· Kubernetes.

Mechanical CAD Designer

Principal Consultant- Data Science & GenAI•	Bachelor’s degree in computer engineering or equivalent
•	10--12 years of experience in Data Science, AI, ML and Gen AI area using any programming or scripting languages.
•	Strong communication and collaboration skills.
•	Proficiency in Python development or any other language used for Data Science or AI ML.
•	Excellent analytical and problem-solving skills.
•	Explore and evaluate new technologies and tools to improve our development processes.
•	Contribute to the full software development lifecycle, from design and implementation to testing and deployment.
•	Experience with cloud platforms like AWS, Azure, or GCP. 
•	 Hands-on Generative AI based solution implementation •	Generative AI solution customization, enhancement and implementation using Infosys and Industry standard tools and platforms
•	Built MCP and Agentic based solutions using various frameworks.
•	Employ Prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results.
•	Testing of AI applications using tools and capturing standard and custom metrics 
•	Stay up-to-date with the latest advancements in Generative AI and testing methodologies. 
•	Work closely with cross-functional teams to ensure prompts align with company objectives and user experience.
•	Identify and report bugs, performance bottlenecks, and safety issues.

Senior Consultant

AI Engineering - DatabricksRequirements:
• Experience in Databricks, SQL, PySpark, Spark, Python, and Azure Data Factory (ADF).
• Experience in designing, developing, and maintaining data pipelines and data streams.
• Experience in moving/transforming data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.
• Experience in working with stakeholders to understand their data needs and provide solutions.
• Experience in collaborating with other teams to ensure data quality and consistency.
• Experience in developing and maintaining data models and data dictionaries.
• Experience in developing and maintaining ETL processes.
• Experience in developing and maintaining data quality checks.
• Experience in developing and maintaining data governance policies and procedures.
Experience in developing and maintaining data security policies and procedures. A day in the life of an Infoscion
•	As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. 
•	You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
•	You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
•	You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
•	You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Knowledge of more than one technology
•	Basics of Architecture and Design fundamentals
•	Knowledge of Testing tools
•	Knowledge of agile methodologies 
•	Understanding of Project life cycle activities on development and maintenance projects
•	Understanding of one or more Estimation methodologies, Knowledge of Quality processes
•	Basics of business domain to understand the business requirements
•	Analytical abilities, Strong Technical Skills, Good communication skills
•	Good understanding of the technology and domain 
•	Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
•	Awareness of latest technologies and trends
•	Excellent problem solving, analytical and debugging skills Responsibilities:
• Design and build modern data pipelines and data streams.
• Move/Transform data across layers (Bronze, Silver, Gold) using ADF, Python, and PySpark.
• Develop and maintain data pipelines and data streams.
• Work with stakeholders to understand their data needs and provide solutions.
• Collaborate with other teams to ensure data quality and consistency.
• Develop and maintain data models and data dictionaries.
• Develop and maintain ETL processes.
• Develop and maintain data quality checks.
• Develop and maintain data governance policies and procedures.
• Develop and maintain data security policies and procedures.
• Provide technical guidance and mentorship to junior data engineers

Automation Process Engineer

Sr Data ScientistShould have the hands on experience to train computer vision and deep learning models to solve computer vision use cases.
•	Should be able to create and optimize algorithms for image and video analysis, for tasks such as object detection, image recognition, segmentation and video analytics.
•	Should have expertise on different object tracking algorithms and track multi objects in multi cameras.
•	Should be able to articulate camera calibration and region of interest extraction.
•	Should have experience working on a large-scale implementation with 100+ stream in real time
•	Fine-tune deep learning models like CNNs, vision transformers using frameworks such as Tensorflow, PyTorch, onnx etc.
•	Should have used NVIDIA frameworks preferably like NGC models, TAO toolkit, metropolis Deep stream, triton server, and triton server to create inferencing pipeline and its deployment.
•	Should have knowledge of optimizing inferencing pipelines to work on edge 
•	Should be able to perform necessary pre and post processing to optimize the computer vision models and evaluate it.
•	Should have experience working on action recognition with temporal analysis 
•	Should have knowledge on pruning the model for deploying on edge/ARM devices
•	Collaborate with Business and IT teams

Senior Technologist - AI/GenAI-Q3-2025# Deep Programming Skills: Python, Java, SpringBoot, SQLbr
# AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn (hands-on coding)
# GenAI Agentic Application design, Implementation
# Production ML model deployment and monitoring
# Real-time inference systems and distributed computing
# API design and microservices architecture
# Data pipeline architecture and stream processing
# MLOPs/LLMOps exposure # 2+ years GenAI/LLM hands-on experience (critical differentiator)
# Production AI system deployment experience
# Understanding of AI ethics and responsible AI practices
# Data visualization and analytics capabilities # AI/GenAI Application Development and deployment
# Model Implementation, fine-tuning, and optimization
# Technical Innovation and emerging technology evaluation
# Production AI System Deployment and maintenance
# Elaborate Technical Documentation and knowledge sharing
# Cross-functional Collaboration with data science and product teams 
# Research &amp; Development of cutting-edge AI capabilities
# Problem Solving for complex production AI issues

Programmer Analyst

Senior Data Analytics Engineer<h4>Job Details:</h4><h4>Job Description: </h4>This role is an exciting opportunity to apply AI/data technology to translate manufacturing data into meaningful insights to help solve factory yield/process engineering problems. In this position, you are expected to deliver data analytics tools/algorithms/methodologies for engineers in different areas in Manufacturing. • The successful candidate will work closely with yield/process/Quality engineers to understand their business needs, analysis methodologies and come up with solutions to assist data-driven decisions in their daily work.• Help users to do quick and efficient signal detection for yield or process issues, improve yield and quality and reduce cost to meet Quality/Output/Cost goals.• Stay abreast of the latest advancements in data solution development and evaluate their applicability to the manufacturing processes and ecosystems.<h4>Qualifications:</h4>Education: • Bachelor's degree with 5+ years of industry/post-university experience in Computer Science/Computer Engineering or a related field with solid software programming experience. OR• Master's degree in Computer Science/Computer Engineering or a related field with 3+ years strong software programming experience. OR• PhD with some experience in Computer Science/Computer Engineering or a related field with strong software programming experience.Skills:• Data Analysis/Visualizations, TIBCO Spotfire (Preferred): Power BI or Tableau.Ability to create custom dashboards• Scripting/Programming: Python or• Web/API Integration: REST API, JSON, XML. JavaScript/Web/HTML scripting.• Data Engineering and ETL Skills: Experience with data pipeline, data ingestion and transformation. Familiarity with Apache NiFI, Kafka or similar ETL frameworks. Shell scripting (e.g. Bash) for task automation• Database Querying: SQL (Oracle or MS SQL or Postgres).• Experience with NoSQL databases (MongoDB, Cassandra, HBase) is a plus• Data Science / ML: Experience with Jupiter notebooks, MLOPs platforms and Advanced Python is a plus• Mfg/Semiconductor process/data domain knowledge is a plus.          <h4>Job Type:</h4>Experienced Hire<h4>Shift:</h4>Shift 1 (India)<h4>Primary Location: </h4>India, Bangalore<h4>Additional Locations:</h4><h4>Business group:</h4>Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.<h4>Posting Statement:</h4>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.<h4>Position of Trust</h4>N/AWork Model for this RoleThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Intel Technology India Pvt Ltd

Business Intelligence Engineer

Data ScientistPOSITION / TITLE: Data Science LeadLocation: Offshore- Pune/Bangalore/HyderabadWho are we looking for?Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.Responsibilities:<ul><li>Lead data science and machine learning projects, contributing to model development, optimization and evaluation. </li><li>Perform data cleaning, feature engineering, and exploratory data analysis. </li><li>Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.</li><li>Collaborate with other DS and engineers to deliver projects.</li></ul>Technical Skills - Must have: <ul><li>Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.</li><li>Proficiency with Python for data analysis, supervised &amp; unsupervised learning ML tasks.</li><li>Ability to translate complex machine learning problem statements into specific deliverables and requirements.</li><li>Should have worked with major cloud platforms such as AWS, Azure or GCP.</li><li>Working knowledge of SQL and no-SQL databases.</li><li>Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.</li><li>Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.</li><li>Strong understanding of evaluation and monitoring metrics for machine learning projects.</li></ul>Technical Skills - Good to have: <ul><li>Track record of getting ML models into production</li><li>Experience building chatbots.</li><li>Experience with closed and open source LLMs.</li><li>Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen�</li><li>Certifications or courses in data science.</li></ul>Education:    <ul><li>Master's/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. </li></ul>Process Skills: <ul><li>Understanding of?Agile and Scrum?methodologies. </li><li>Ability to follow SDLC processes and contribute to technical documentation. </li></ul>Behavioral Skills:<ul><li>Self-motivated and capable of working independently with minimal management supervision.</li><li>Well-developed design, analytical &amp; problem-solving skills</li><li>Excellent communication and interpersonal skills. </li><li>Excellent team player, able to work with virtual teams in several time zones.</li></ul>

Mphasis Ltd

I&F Decision Sci Practitioner AssociateSkill required: Delivery - Workday Advanced Reporting Designation: I&amp;F Decision Sci Practitioner Associate Qualifications:Any Graduation Years of Experience:1-3 Years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.The person in this role will be responsible for the hands-on development, automation, and delivery of HR reports and dashboards, including both standard (recurring) and ad hoc (one-time) reporting requests. This role will work closely with the Reporting Manager to ensure timely, accurate, and business-relevant reporting outcomes.The role requires strong technical skills in tools like Workday, Advanced Excel, PowerQuery, and VBA, with the ability to interpret and analyze data effectively. Familiarity with data visualization tools such as Power BI or Tableau is desirable. The individual must demonstrate a high degree of accuracy, attention to detail, and a commitment to continuous improvement in reporting processes. What are we looking for? • Reporting &amp; Visualizations• HR Domain• MS Office (Excel)• Email Writing Skills• Problem solving skills (Analytical skills / Collaborative thinking/ Adaptable to change)• Verbal Communication: Sentence Mastery, Vocabulary, Fluency, Pronunciation• Customer Service; Stakeholder Management; Service Delivery Management; Operations Management• VBA / PowerQuery• SQL &amp; PowerBI• Workday Reporting• Workday PRISM• Workday Discovery Boards &amp; Worksheets Roles and Responsibilities: • Execute and deliver standard and ad hoc HR reports as per agreed timelines and specifications• Extract and prepare data from Workday and/or other HR systems for reporting and analysis• Build and maintain automated Excel-based reports using formulas, PowerQuery, and VBA macros• Analyze HR data to identify trends, spot anomalies, and support decision-making with relevant insights• Support dashboard creation or maintenance using tools like Power BI or Tableau (if applicable)• Ensure data quality and accuracy across all reporting outputs through regular validation and testing• Maintain clear documentation for report logic, transformation steps, and data sources• Collaborate with team members and respond to data/reporting queries from stakeholders• Identify opportunities to streamline and automate repetitive reporting tasks• Follow defined processes and governance standards for secure and compliant data handling• Work in rotational shifts as required to support global reporting cycles and client time zones

Accenture India Private Limited

Associate Business Analyst

Asset Recovery Data Analyst<h4>Job Description Summary</h4>This position is a process-focused, data-driven role that will lead governance and continuous improvement initiatives within our medical imaging asset recovery operations. This role plays a critical part in advancing our circular economy goals by ensuring that returned systems—whether due to trade-ins, upgrades, or other return reasons—are recovered, reused, or responsibly disposed of in alignment with sustainability and regulatory standards. As a key member of the Life Cycle Solutions team, you will also be responsible for tracking and reporting circularity metrics, helping quantify the environmental impact of our recovery efforts. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.<h4>Job Description</h4><h4>Roles and Responsibilities</h4><ul><li>Data Analysis: Collect and analyze operational and sustainability data to identify opportunities for process improvements, monitor compliance, identify trends, and support strategic decision-making related to asset recovery and circularity.</li><li>Reporting and Visualization: Create reports and dashboards for key business metrics leveraging automation and digitalization to provide reliable data to cross functional stakeholders that drive decisions.</li><li>Cross-Functional Collaboration: Partner with project management, service teams, logistics, and the commercial organization to ensure seamless coordination and alignment on return processes.</li><li>Process Optimization: Lead the design, documentation, and continuous improvement of asset recovery workflows, with a focus on traceability, quality, and operational efficiency.</li><li>Governance &amp; Compliance: Develop and maintain governance frameworks for the return of medical imaging systems, ensuring full compliance with healthcare regulations, internal policies, and audit requirements.</li><li>Circular Economy Leadership: Support the organization’s circular economy strategy by overseeing the recovery, reuse, and responsible disposition of imaging systems. Track and report on key circularity metrics, including the number of systems recovered annually, material reuse rates, and landfill diversion.</li><li>LEAN Methodology: Apply LEAN principles to streamline processes, eliminate waste, and enhance the effectiveness of return operations across the supply chain.</li><li>Controllership &amp; Quality Assurance: Maintain a strong focus on quality and internal controls throughout the lifecycle of returned imaging systems, ensuring proper handling, documentation, and disposition.</li></ul><h4>Qualifications/Requirements</h4><ul><li>Bachelors degree with minimum of 6 years experience in data analysis (reporting, visualization) in a relevant field e.g., supply chain, logistics, operations, analytics, or project management</li><li>Minimum of 2 years working in a matrixed, cross-functional environment</li><li>Strong analytical skills and proficiency in Excel and PowerPoint</li></ul><h4>Desired Characteristics</h4><ul><li>Master’s degree</li><li>Lean Six Sigma certification</li><li>Experience interfacing and presenting to senior leadership</li><li>Experience managing and mitigating risks to project timeline and resources</li><li>Experience in leading cross-functional teams and driving actions from team members that do not report to you</li><li>Robust interpersonal skills, with evidence of teamwork and collaboration</li><li>Ability to manage and prioritize several parallel projects, teams, timelines and operational mechanisms</li><li>Flexible hybrid work schedule, able to adjust availability to work with international teams</li></ul>Inclusion and DiversityGE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.Disclaimer: GE HealthCare will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide employment with GE HealthCare.#LI-ML1#LI-Onsite<h4>Additional Information</h4><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>

GE Healthcare Private Limited

Asset Operations Analyst

AI/ML• Data collection, profiling, EDA &amp; data preparation 
• AI Model development, tuning &amp; validation 
• Visualization tools (e.g., PowerBI, tableau) 
• Present findings to business users &amp; project management teams 
• Propose ML based solution approaches and estimates for new use cases 
• Contribute to AI based modules in Infosys solutions development 
• Explore new advances in AI continuously and execute PoCs 
• Mentoring: guide other team members 
• ML algorithms 
• AI domains: NLP, speech, computer vision 
• Supervised, Unsupervised, Reinforcement learning 
• Tools for data analysis, auto ML, model deployment and scaling 
• Knowledge of datasets 
• Programming: Python 
• Databases
• Knowledge of cloud platforms: Azure/AWS/GCP. Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.

Data Science Intern

Data Scientist LeadJob Description: This role, part of the Digital Intelligence team, offers opportunity in the financial services industry by developing impactful Machine Learning solutionsAs a Data Scientist Lead within the team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.  Job responsibilities<ul><li>Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain</li><li>Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization</li><li>Communicate effectively with both technical and non-technical stakeholders</li><li>Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.</li><li>Develop and maintain tools and framework for prompt-based model training, evaluation and optimization</li><li>Analyze and interpret data to evaluate model performance to identify areas of improvement</li></ul>Required qualifications, capabilities, and skills<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>Experience with prompt design and implementation or chatbot application</li><li>Strong programming skills in Python with experience in PyTorch or TensorFlow</li><li>Experience building data pipelines for both structured and unstructured data processing.</li><li>Experience in developing APIs and integrating NLP or LLM models into software applications</li><li>Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.</li><li>Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner</li><li>Basic knowledge of deployment processes, including experience with GIT and version control systems</li><li>Familiarity with LLM orchestration and agentic AI libraries</li><li>Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Familiarity with model fine-tuning techniques such as DPO and RLHF.</li><li>Knowledge of Java, Spark</li><li>Knowledge of financial products and services including trading, investment and risk management</li></ul>

JP Morgan Services India Pvt Ltd

Data Operations Specialist<h4>Company Description</h4>Our MissionAt Palo Alto Networks® everything starts and ends with our mission:Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.Who We AreWe take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.<h4>Job Description</h4>Your CareerAt Palo Alto Networks, success is driven by leveraging trusted data to inform strategic decisions across our entire Go-to-Market (GTM) engine.Our Data Operations Team, a core function within GTM Business Operations, ensures our critical sales and customer data (primarily in Salesforce.com) is governed, accurate, and reliable. We are the essential front line for data quality.As a Data Operations Specialist, you will execute the data maintenance, monitoring, and resolution needed to directly impact sales velocity, reporting accuracy, and the overall customer experience. You'll manage high-priority escalations, track data changes, and identify trends to drive continuous improvement in our systems and policies.This role reports to the Senior Manager, Sales Operations and requires extensive partnership across GTM Business Operations, Customer Support, IT, Finance, and other organizations. You ensure our teams have the trusted data foundation required to secure the future.Your ImpactYou will be instrumental in maintaining the integrity and reliability of our most critical GTM data, directly enabling faster sales cycles and accurate business forecasting. Key responsibilities include:<ul><li>Service Queue Management: Prioritize and handle a high volume of data service requests, ensuring timely, effective resolution within defined Service Level Agreements (SLAs).</li><li>Data Validation and Research: Execute complex updates to account hierarchies, deduplication, and firmographic data by meticulously researching and analyzing public and third-party data sources.</li><li>Data Standards Enforcement: Act as a critical enforcer of established data standards and policies, ensuring consistent adherence across teams to maintain peak data integrity.</li><li>Mass Data Execution: Perform necessary analysis and large-scale updates to account information, utilizing internal tools to drive measurable improvements in data accuracy.</li><li>Complex Issue Resolution: Investigate and manage escalated "corner case" issues, providing thorough root-cause analysis and documentation.</li><li>Performance Optimization: Monitor and record trends in service requests, identifying error rates and interpreting dashboard results to propose and implement process enhancements.</li><li>Cross-Functional Partnership: Collaborate closely with the broader Data Operations Team to document data standards and policies effectively.</li></ul><h4>Qualifications</h4>Your Experience <ul><li>We seek a highly organized, proactive, and independent problem-solver with 4+ years of experience, who thrives in a high-growth environment:</li><li>Mindset &amp; Approach:<ul><li>Strong passion for data accuracy and solving complex data challenges.</li><li>Highly detail-oriented with proven ability to investigate and validate data integrity.</li><li>Ability to operate independently and manage multiple tasks simultaneously.</li><li>Comfortable in a fast-paced, dynamic work environment.</li><li>Business-centric approach with experience collaborating with various functional teams.</li></ul></li><li>Communication &amp; Collaboration:<ul><li>Excellent written and verbal communication skills (English fluency required).</li><li>Proven ability to manage requestor escalations effectively.</li></ul></li><li>Technical Acumen:<ul><li>Ability to rapidly learn new tools, platforms, and business processes.</li><li>Experience with advanced Google Sheets/Spreadsheets is required.</li><li>Significant experience with Salesforce.com (SFDC) and SFDC-related tools (e.g., SOQL, ETL, Salesforce Inspector) is a major advantage</li></ul></li><li> </li></ul><h4>Additional Information</h4>The TeamOur  Strategy &amp; Operations team at Palo Alto Networks works on a set of strategic initiatives to drive process improvement projects to deliver improved efficiency and scale through simplification, automation and innovation across Sales Operations tools and processes.You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects – centered on what we believe is one of the most significant mission statements in the world.Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  <a href="mailto:accommodations@paloaltonetworks.com">accommodations@paloaltonetworks.com</a>.Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.All your information will be kept confidential according to EEO guidelines.<h4>Experience Level</h4>Senior Level

Palo Alto Networks

Project Management Officer

#ACN -Industry-Health-Platforms EPIC Data - Delivery Senior AnalystThe Delivery Senior Analyst will be responsible for managing and delivering data projects within the Health Platforms EPIC Data industry. The role requires a strong understanding of data analysis and delivery processes, with a focus on ensuring high-quality outcomes. The ideal candidate will have 2-5 years of relevant experience and be based in Bengaluru.

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