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domain architect - data science Jobs in Noida

domain architect - data science

data architect

GEDU Services

<div>
 
 Position Overview
 
 
 
 As a Data Architect, you are responsible for designing and managing scalable, secure, and high-performance data architectures that support GEDU and customer needs. This role ensures that the GEDU&rsquo;s data assets are structured and managed in a way that enables the business to generate insights, make data-driven decisions, and maintain data integrity across the GEDU and Customers. The Data Architect will work closely with business leaders, data engineers, data scientists, and IT teams to align the data architecture with the GEDU&rsquo;s strategic goals.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Architecture Design:
 
 
 
 <ul>
 <li>
 Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams.
 </li>
 <li>
 Develop a data strategy and roadmap that aligns with GEDU business objectives and ensures the scalability of data systems.
 </li>
 <li>
 Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency.
 
 
 </li>
 </ul>
 
 Data Integration &amp; Management
 
 
 
 <ul>
 <li>
 Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools.
 </li>
 <li>
 Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets.
 </li>
 <li>
 Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.).
 
 
 </li>
 </ul>
 
 Collaboration With Stakeholders
 
 
 
 <ul>
 <li>
 Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs.
 </li>
 <li>
 Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines.
 
 
 </li>
 </ul>
 
 Technology Leadership
 
 
 
 <ul>
 <li>
 Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools.
 </li>
 <li>
 Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization.
 
 
 </li>
 </ul>
 
 Data Quality &amp; Security
 
 
 
 <ul>
 <li>
 Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems.
 </li>
 <li>
 Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity.
 
 
 </li>
 </ul>
 
 Mentorship &amp; Leadership
 
 
 
 <ul>
 <li>
 Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management.
 </li>
 <li>
 Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy.
 
 
 </li>
 </ul>
 
 Extensive Data Architecture Expertise
 
 
 
 <ul>
 <li>
 Good experience in data architecture, data modeling, and database management.
 </li>
 <li>
 Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions.
 </li>
 <li>
 Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines.
 
 
 </li>
 </ul>
 
 Advanced Knowledge Of Data Platforms
 
 
 
 <ul>
 <li>
 Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus.
 </li>
 <li>
 Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing.
 </li>
 <li>
 Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker).
 
 
 </li>
 </ul>
 
 Data Governance &amp; Compliance
 
 
 
 <ul>
 <li>
 Strong understanding of data governance principles, data lineage, and data stewardship.
 </li>
 <li>
 Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards.
 
 
 </li>
 </ul>
 
 Technical Leadership
 
 
 
 <ul>
 <li>
 Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise.
 </li>
 <li>
 Strong programming skills in languages such as Python, SQL, R, or Scala.
 
 
 </li>
 </ul>
 
 Pre-Sales Responsibilities
 
 
 
 <ul>
 <li>
 Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives.
 </li>
 <li>
 Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained.
 </li>
 <li>
 Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions.
 </li>
 <li>
 Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process.
 </li>
 <li>
 Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements.
 
 
 </li>
 </ul>
 
 Additional Responsibilities
 
 
 
 <ul>
 <li>
 Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions.
 </li>
 <li>
 Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions.
 </li>
 <li>
 Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow.
 </li>
 <li>
 Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise.
 </li>
 <li>
 Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability.
 </li>
 <li>
 Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications.
 </li>
 <li>
 Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or a related field.
 </li>
 <li>
 Experience: Seasoned experience in data architecture, with a focus on developing scalable and high-performance solutions.
 </li>
 <li>
 Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions.
 </li>
 <li>
 Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory.
 </li>
 </ul>
</div>

Data Architect

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

Axtria - Ingenious Insights

<div>
 
 
 Role : Manager / Sr Manager - MDM
 
 
 
 
 Experience : 7-12 years
 
 
 
 
 Job Location : Gurgaon/Noida/Bangalore/Hyderabad
 
 
 
 
 
 
 
 Your Responsibilities includes, but not limited to:
 
 
 
 
 
 <ul>
 <li>
 Participate in overall architecture, Capacity planning, development, and implementation of Master Data Management solutions (MDM). Using MDM technologies and tools across an enterprise to enable the management and integration of master data.
 </li>
 <li>
 Understand the technical landscape current as well as desired future state Assess the current state architecture &amp; understand current business processes for managing Master Data Management solutions.
 </li>
 <li>
 Assess the functional and non-functional requirements of desired future state MDM solution Prepare the to-be architecture including data ingestion, data quality rules, data model, match/merge, workflows, UI, batch integration and real-time services.
 </li>
 <li>
 Extensive hands-on experience in installation and configuration of core Informatica MDM Hub components such as Hub console, Hub Store, Hub Server, Cleanse/Match Server and Cleanse Adaptor.
 </li>
 <li>
 Ability to deliver full lifecycle MDM projects for clients including Data modeling, Metadata management, design and configuration of matching and merging rules, design and configuration of standardizing, cleansing and deduplication rules.
 </li>
 <li>
 Create Design Document and data models addressing business needs for the client MDM environment - Contribute to creating reusable assets and accelerators for MDM platforms.
 </li>
 <li>
 Will also be involved in integration/transfer of data across multiple systems, streamlining data processes and providing access to MDM data across the enterprise.
 </li>
 <li>
 Make technology decisions related to the Client MDM environment &amp; Interpret requirements and architect MDM solutions.
 </li>
 <li>
 Provide subject matter expertise on data architecture and data integration implementations across various downstream system.
 </li>
 <li>
 Coordinate with Project Managers and participate in project planning and recurring meetings.
 </li>
 <li>
 Collaborate with other team members to review prototypes and develop iterative revisions.
 </li>
 </ul>
 
 
 
 
 
 Must have Skills
 
 :
 
 
 
 
 <ul>
 <li>
 5-12 years of experience &amp; should have hands on experience of working in MDM Projects and hands on experience in one or more MDM tools like Informatica or Reltio and has expertise in defining matching/ merging &amp; survivor-ship rules.
 </li>
 <li>
 Should have strong commercial knowledge of key business processes &amp; compliance requirements within Pharma Industry across multiple master data domains like Physician &amp; Product
 </li>
 <li>
 Hands on experience in industry data quality tools like Informatica IDQ, IBM Data Quality.
 </li>
 <li>
 Must be proficient reading and understanding data models and experience working with data and databases.
 </li>
 <li>
 Strong technical experience in the areas of Master Data Management, Meta data management, Data Quality, Data Governance, Data Integration (ETL) and Data Security
 </li>
 <li>
 Experience with (all stages of MDM SDLC) planning, designing, building, deploying and maintaining scalable, highly available, mission critical enterprise-wide applications for large enterprises
 </li>
 <li>
 Should have experience in integrating MDM with Data Warehouses and Data Lakes
 </li>
 <li>
 Excellent query writing skills with Working knowledge of Oracle, SQL server, and other major databases
 </li>
 <li>
 Good knowledge of SOA/Real-time integration , Pub-Sub Model and Data Integration with Various CRM systems like Veeva, Siebel.
 </li>
 <li>
 Expertise in engaging with business users to understand the business requirements and articulate the value proposition.
 </li>
 <li>
 Should have experience working with 3rd Party Data Providers like IQVIA, SHS, Veeva etc
 </li>
 <li>
 Solid experience in configuring 3rd Party Address standardization tools Like or Tools Similar to Address Doctor, Loqate
 </li>
 <li>
 Provide subject matter expertise on data architecture and data integration implementations across various downstream systems
 </li>
 <li>
 Possesses excellent communication skills, both written and verbal, innovative presentation skills
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 
 BE/B.Tech, MCA, M.Sc., M. Tech, MBA with 60%+
 
 </li>
 </ul>
 
 
 
 
 
 Why Axtria: -
 
 
 
 
 Axtria (www.Axtria.com)
 
 is truly a New-Age Software Product Unicorn, a first of its kind in providing the cloud software and data analytics to the Life Sciences industry globally. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.
 
 
 
 
 
 Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms -
 
 Axtria
 
 DataMAX&trade;,
 
 Axtria
 
 InsightsMAX&trade;,
 
 Axtria
 
 SALESIQ&trade;,
 
 Axtria
 
 CUSTOMERIQ&trade; and Axtria MarketingIQ- enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations. With customers in over 20 countries,
 
 Axtria
 
 is one of the biggest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.
 
 
 
 
 <ul>
 <li>
 
 Axtria
 
 is looking for exceptional talent to join our rapidly growing global team
 </li>
 <li>
 People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry
 </li>
 <li>
 Our data analytics and software platforms support data science, commercial operations, and cloud information management. We enable commercial excellence through our cloud-based sales planning and operations platform
 </li>
 <li>
 We are leaders in managing data using the latest cloud information management and big data technologies
 </li>
 <li>
 
 Axtria
 
 Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry
 </li>
 <li>
 3500+ employees worldwide &ndash; growing rapidly &amp; strengthening our product engineering team. We would almost double our India headcount in the coming year
 </li>
 </ul>
 
 
</div>

Manager - MDM

Thales

<div>
 Location: Noida, India
 
 
 Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.
 
 
 Present in India since 1953, Thales is headquartered in Noida, Uttar Pradesh, and has operational offices and sites spread across Bengaluru, Delhi, Gurugram, Hyderabad, Mumbai, Pune among others. Over 1800 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India&rsquo;s growth story by sharing its technologies and expertise in Defence, Transport, Aerospace and Digital Identity and Security markets.
 
 
 
 Job Summary
 
 
 
 The Software Product Ownership Roles maximise the value of the product resulting from the development team.
 
 
 They provide the best items for the development team to deliver high quality product.
 
 
 They also act as an interface between the technical team, the marketing team the customers and end-users.Software Product Ownership
 
 
 
 CANDIDATES THAT WOULD IMPRESS US
 
 
 PROFILE:
 
 
 
 You graduated with a Master of Engineering or Computer Science or in University, and you have significant experience in your field of expertise
 
 
 You have previous experience in project and/or product management (ideally as a Product Owner)
 
 
 You have already worked within an Agile team
 
 
 You have strong business acumen and want to stay abreast of the latest innovations
 
 
 You have a great understanding of customer needs
 
 
 You are recognised as a team-player and enjoy collaborative work
 
 
 You are a listener and an effective communicator
 
 
 You are a storyteller
 
 
 You are autonomous and know how to get your ideas adopted to improve your team's practices
 
 
 You are open-minded and love to receive feedback from all stakeholders.
 
 
 
 COMPETENCIES:
 
 
 
 You have an Agile culture and know Agile frameworks, Scrum, Kanban, Lean (mastery of Jira, Rally or Redmine type tool)
 
 
 You know how to develop a product vision based on your understanding of your field and customer needs
 
 
 You have knowledge of software development
 
 
 You have the ability to prioritise backlog according to their value
 
 
 You are able to simplify and break down problems in a context where the functional area is complex
 
 
 You know how to focus on customers and delivery by bringing quick results to users
 
 
 You share regularly within communities your Product Owner&rsquo;s practices and learnings
 
 
 You are recognised for your ability to adapt to various interlocutors as well as for your excellent oral and written communication skills
 
 
 
 LIFE AS A THALES PRODUCT OWNERSHIP ROLE
 
 
 
 As a Software Product Ownership Role within Thales, you will
 
 
 Define and own the product vision:
 
 
 Engage customers/end-users and understand their needs
 
 
 Maintain an up-to-date knowledge of field and keep proximity to customer needs
 
 
 Communicate the vision of the product and define squad's goals
 
 
 Facilitate internal and external Customer demos with the team members for direct feedback
 
 
 Ensure squad success:
 
 
 Write and reviewing User Stories, including Acceptance Criteria
 
 
 Accept and rejecting User Stories using the Definition of Done and Acceptance Criteria
 
 
 Prioritise product backlog items and maintaining an updated backlog for the Squad
 
 
 Co-carry out market research and collect necessary data through studies, surveys, alpha/beta programs and onboard metrics to objectively analyse and identify user needs
 
 
 Remain available for the Squad throughout the sprint
 
 
 Interface with Group Functions and key stakeholders
 
 
 At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
</div>

Product Owner

<div>
 Job DescriptionDesignation- ;Conversational AI DeveloperRole- ;Permanent/ Full timeLocation- ;Noida/ Gurgaon/ Pune/ BangaloreShift- ;12PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies)Working Days- ;5 daysWork Mode- ;HybridMandatory Skills-Chatbot development, Voice (good to have)Conversational AI Platform- DialogflowNatural Language Processing, Python/ Node.JSDesign and develop cloud-based Conversational AI solutions. ; ; ; ;Basic FunctionStrong experience in developing intent and utterances-based logics and interaction flows on conversational AI ;Strong experience in developing NLP based intent classification, routing and treatment of customer interactionsExposure of Lex and or Dialogflow, Watson or similar platformDevelopment experience and integration expertise in Conversational AI, NLP/NLU modelling, and Omni channel communication platformSolution architect experience with in-depth understanding of application architecture, enterprise application design, SOA, and cloud native applicationsUnderstanding of UI elements, APIs, Database interfaces etc.Own the technical solution and ensure all technical aspects are implemented as designedMust have ability to create high and low level design, architecture documentsMust assess risk involved in the project and highlight and mitigate to drive outcomeIdentify and analyze information related to existing client systems visibly show the handoffs/handshakes between the various system, departments in the organizationEnsure best practices is followed while coding or integrations &amp; perform code/ integration review ;Work closely with stake holders to identify issues or bottlenecks within operations processes and come up with innovative solutions to increase efficiency and effectiveness of operationsDevelops tasks / objects using core workflow principles that are efficient, well structured, maintainable and easy to understandRevert with timelines on fixes of UAT observationsProvide post implementation support to all changesKeep the project manager and product committee informed of task accomplishment, issues and statusEnsure compliance with company &amp; IT procedure, policies, and documentation requirements (Feasibility study, BRD, Release Notes) across project phases, guidelines around coding standards and development best practices.Perform Technical documentation as per the Project lifecycleShare and follow best practices, development &amp; deployment methodologies with other team members ;Essential FunctionsGood communication and presentation skillsSelf-motivated, team player, action and results oriented.Process driven and conceptual thinkingChange Management skillsInnovative thinkerQuick and agile learnerWorking across cultures with sensitivity, partnering, driving with a focus on business impact ;Primary Internal InteractionsSenior Business LeadershipService Delivery ManagersDigital transformation teamISG Team ;Primary External InteractionsClient Teams &ndash; especially Client Business &amp; Technology Teams.External Vendors &ndash;Product &amp; Services Vendors/Partners, Industry/Business forums ; ;
</div>

Senior Manager

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Opportunity
 
 
 Adobe Campaign is a conversational marketing technology solution that truly empowers organizations to start and sustain one-to-one customer dialogues. With first class email and inbound-outbound channel fusion capabilities, Adobe Campaign can automate the execution of mobile, social, email and off-line campaigns. Driven by an intelligent, decision based engine, the visionary technology enables marketers to achieve measurable results in record time.
 
 
 As an senior IC, you will own delivery and technology vision for developing services and components which will act as building blocks for product development within Adobe Digital experience business unit. You will work closely with product management team, engineering teams, and customers. Developing right technology vision, practices and team culture to ensure good quality, timely delivery and foster innovation are going to be a key focus area
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and evolve the architectural vision and roadmap for our products, ensuring alignment with business goals and technical guidelines.
 </li>
 <li>
 Offer proactive thought leadership, identifying new technologies, market trends, and exciting opportunities (e.g., advanced AI/GenAI applications).
 </li>
 <li>
 Develop and lead all aspects of the implementation of highly scalable, resilient, and performant distributed systems, encompassing hundreds of microservices.
 </li>
 <li>
 Drive the development of both new product functionalities and the operational aspects of our systems, including monitoring, logging, alerting, and disaster recovery.
 </li>
 <li>
 Lead the technical delivery of AI-powered features for customers, applying your AI knowledge, particularly in generative AI and agents.
 </li>
 <li>
 Explore and implement AI solutions to improve developer efficiency and internal processes.
 </li>
 <li>
 Ensure architectural decisions drive strong customer happiness and positive business outcomes.
 </li>
 <li>
 Cultivate an environment of ownership, innovation, and challenge the status quo.
 </li>
 <li>
 Provide thought leadership, technical guidance, and mentorship to engineering teams across multiple locations.
 </li>
 <li>
 Stay at the forefront of technology trends, continually evaluating and recommending new tools, technologies, and approaches.
 
 
 </li>
 </ul>
 What you need to succeed
 
 
 <ul>
 <li>
 Passion and love for what you do!
 </li>
 <li>
 14+ years of experience in software development with 5+ years in a software architect role crafting and building large-scale, distributed systems.
 </li>
 <li>
 Deep expertise in crafting and implementing highly scalable, fault-tolerant, and performant architectures.
 </li>
 <li>
 Expertise in Java, Spring Boot, Rest Services, MySQL or Postgres, MongoDB, Kafka.
 </li>
 <li>
 Experience in developing and building solutions with cloud technologies (AWS and/or Azure).
 </li>
 <li>
 Good understanding of working with Cassandra, Solr, ElasticSearch, Snowflake.
 </li>
 <li>
 Contributions to open-source projects or industry publications are an added advantage.
 </li>
 <li>
 Strong understanding of Artificial Intelligence (AI), particularly Generative AI (GenAI) and Agents.
 </li>
 <li>
 Demonstrating experience in leading teams to deliver AI-powered features for customers and using AI for internal team efficiency.
 </li>
 <li>
 Ambitious and not afraid to tackle unknowns, demonstrating a strong bias to action.
 </li>
 <li>
 Thrive in a fast-paced, evolving environment, capable of quickly changing and learning new technologies and domains.
 </li>
 <li>
 Proven skill in effectively managing collaborators and working in collaboration with teams spread across different locations.
 </li>
 <li>
 Strong business insight with the ability to link technical decisions to customer impact and business value.
 </li>
 <li>
 Established capability in sparking creativity and spearheading transformation.
 </li>
 <li>
 Strong interpersonal, analytical, problem-solving, and conflict resolution skills.
 </li>
 <li>
 Superb communication skills in speaking and writing, as well as the capacity to sway, motivate, and empower individuals.
 
 
 </li>
 </ul>
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Senior Computer Scientist - II

Microsoft

<div>
 Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. OPG is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data &amp; Applied Scientist.
 
 
 We are looking for a strong
 
 Senior
 
 
 Data Scientist
 
 with a proven track record of solving large, complex data analysis problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a Product Manager or Engineering leader and translate it to a data problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis to reveal actionable insights, and then operationalize the metrics or solution into PowerBI dashboards.
 
 
 You will be delivering results through innovation and persistence when similar candidates have given up.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 
 Dashboard Development and Maintenance:
 
 
 
 <ul>
 <li>
 Design, build, and maintain interactive dashboards and reports in PowerBI to visualize key business metrics and insights.
 </li>
 <li>
 Work closely with stakeholders to understand their data visualization needs and translate business requirements into technical specifications.
 
 
 </li>
 </ul>
 
 Data Extraction And Analysis
 
 
 
 <ul>
 <li>
 Perform ad-hoc data extraction and analysis from various data sources, including SQL databases, cloud-based data storage solutions, and external APIs.
 </li>
 <li>
 Ensure data accuracy and integrity in reporting and analysis.
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 Deliver high impact analysis to diagnose and drive business critical insights to guide product and business development.
 
 
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 </ul>
 
 Metric Development And Tracking
 
 
 
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 Be the SME who understand landscape of what data (telemetry) are and should be captured
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 Advice feature teams on telemetry best practices to ensure business needs for data are met.
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 Collaborate with product owners and other stakeholders to define and track key performance indicators (KPIs) and other relevant metrics for business performance.
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 Identify trends and insights in the data to support decision-making processes.
 
 
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 </ul>
 
 User Journey And Funnel Analysis
 
 
 
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 <li>
 Assist product owners in mapping out user journeys and funnels to understand user behavior and identify opportunities for feature improvement.
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 Develop and implement ML models to analyze user journeys and funnels. Utilize a variety of techniques to uncover patterns in user behavior that can help improve the product.
 
 
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 </ul>
 
 Forecasting And Growth Analysis
 
 
 
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 <li>
 Support the forecasting of key results (KRs) and growth metrics through data analysis and predictive modeling.
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 Provide insights and recommendations to help drive strategic planning and execution.
 
 
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 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
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 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <ul>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techn
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
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 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience involving programming with languages Python/R and hands on experience using technologies such as SQL, Kusto, Databricks, Spark etc.
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 <li>
 7+ years of experience working with data exploration and data visualization tools like PowerBI or similar.
 </li>
 <li>
 Candidate must be able to communicate complex ideas and concepts to leadership and deliver results.
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 Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.
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 <li>
 Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Data & Applied Scientist

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