15 Data Exploration Jobs

Informatica TDM 1. Data Discovery, Data Subset and Data Masking 2. Data generation 3. Complex masking and genration rule creation 4. Performance tunning for Inoformatica Mapping 5. Debugging with Informatica power center 6. Data Migration Skills and Knowledge 1. Informatica TDM development experiance in Data masking, discovery, Data subsetting and Data Generation is must 2. Should have experiance in working with flat file, MS SQL, Oracle and Snowflake 3. Debugging using Inofmratica Power center 4. Experiance in Tableau will be added advantage 5. Should have basic knowledge about IICS" 6. Must have and Good to have skills Informatica TDM, SQL, Informatica Powercenter, GDPR

Overview We have an exciting opportunity for an Data Privacy Specialist. This role is dedicated to protecting data and operational integrity across the Omnicom global footprint, enhancing client trust, and reducing enterprise risk. The Data Privacy Specialist will manage data protection and privacy components of the broader security program. Working across Legal, IT, client, and partner ecosystems, this role ensures the implementation and enforcement of global data privacy standards in a business-centric manner. You will help enable safe and compliant services across Omnicom’s network by embedding privacy principles into processes and technologies. Responsibilities Oversee and implement global data privacy and protection standards across Omnicom’s operations. Lead or support cross-functional efforts with Legal, IT, vendors, and clients to manage data protection initiatives. Provide subject matter guidance on global privacy laws and frameworks (e.g., GDPR, CCPA, DPDP). Ensure privacy-by-design practices are embedded into systems, products, and operations. Support data privacy risk assessments, data subject access requests, privacy incidents, audits, and gap analyses to improve the control environment. Manage operational privacy program elements such as consent, access rights, and data lifecycle governance. Drive an enterprise-wide rollout of a centralized privacy management system Apply information security and data privacy policies, procedures, and practices to support the application of published industry standards at Omnicom Monitor regulatory developments and recommend updates to policies or controls as needed. Qualifications 3–5 years of experience in data privacy or data protection. Strong knowledge of global privacy frameworks such as GDPR, CCPA, and emerging data protection laws. Experience in applying privacy principles in a business and client-facing context. Demonstrated ability to coordinate across multiple departments and stakeholders. Excellent analytical and communication skills; ability to translate legal/privacy requirements into business-friendly solutions. Understanding of privacy risk, impact assessments, and data lifecycle management. A self-starter with strong organizational skills Demonstrated ability to manage multiple projects under strict timelines independently, as well as the ability to work well in a demanding, dynamic environment and meet program objectives Preferred Qualifications Certifications such as CIPP/E, CIPM, or equivalent. Experience working in marketing, media, or digital services industries. Familiarity with data discovery, mapping, or GRC tools supporting privacy programs.

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Pyramid Overview As a Sr Engineer in Data Sciences , y ou will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you ll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Competitive Intelligence Data Sciences team at Target builds Data Science models in service of leveraging competitive information for various decisioning . The team plays a crucial role in helping Target stay competitive across various business functions. Position Overview For this specific role, you will be responsible for deploying and maintaining language models i n partnership with the cross functional technology team that spans across Product engineering, Data engineering & Data analytics . You will need to diagnose model performance, review summary statistics and iteratively improve the quality of the downstream decisions. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Strong expertise in working with text data, embeddings, building & deploying NLP solutions and integrating with LLM services Expertise in MLOps frameworks and hands on experience in MLOps tools 2 plus years of experience building and deploying AI/ML algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient in programming with Spark (Python and/or Scala) Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across global team Understanding of retail industry is added advantage Bonus Points: Experience with Deep Learning frameworks TensorFlow, Pytorch or Keras Experience developing highly distributed AI/ML systems at scale Experience with Vertex AI Experience in mentoring the junior team members ML skillset and career development Experience in handling streaming data and setting up real-time services Know More about Us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits https://india.target.com/life-at-target/belonging

Job Information Job Opening ID ZR_1661_JOB Date Opened 17/12/2022 Industry Technology Job Type Work Experience 6-10 years Job Title Informatica TDM Developer City Pune Province Maharashtra Country India Postal Code 411001 Number of Positions 4 LocationPune, Bangalore, Hyderabad Informatica TDM 1. Data Discovery, Data Subset and Data Masking 2. Data generation 3. Complex masking and genration rule creation 4. Performance tunning for Inoformatica Mapping 5. Debugging with Informatica power center 6. Data Migration Skills and Knowledge 1. Informatica TDM development experiance in Data masking, discovery, Data subsetting and Data Generation is must 2. Should have experiance in working with flat file, MS SQL, Oracle and Snowflake 3. Debugging using Inofmratica Power center 4. Experiance in Tableau will be added advantage 5. Should have basic knowledge about IICS" 6. Must have and Good to have skills Informatica TDM, SQL, Informatica Powercenter, GDPR check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Responsibilities: Build and manage detailed resource and financial baselines for key initiatives and functions Support the development of value ambition (robust cases) Conduct analyses for value confirmation as an outcome of detailed design and elevate value risks to leadership Support the management of deviations against the approved case and assist in value reconciliation Analyze workforce data to identify areas of opportunity and support resource optimization across functions Build and optimize data models across the value journey, drive data collection and integration for operational insights Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the following-the-sun model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 to 4 years of Data Analytics / Finance OR Masters degree and 4 to 6 years of applicable experience OR Bachelors degree and 6 to 8 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 10 to 12 years of Data Analytics, Science & Technology Management or Finance experience Proficiency in financial modeling (Excel), data analytics and business intelligence tools Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods Experience working in highly collaborative cross-functional environments Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 4 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience working with business partners to identify complex functionality and translate it into requirements Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills Elevated level of integrity and ethical standards Problem-solving and critical thinking capabilities Adaptability to a dynamic and challenging environment

Key Responsibilities Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks. Collaboration: Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions. Evaluation & Reporting: Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports. Research & Innovation: Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications. Key Skills & Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field 4-6 years of hands-on experience in: Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) Deep Learning (e.g., TensorFlow, PyTorch, Keras) Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn) Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow) Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools Familiarity with large-scale data processing (e.g., Spark, Dask) is a plus Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable. Strong analytical and communication skills. Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) Contribution to open-source projects or ML competitions (e.g., Kaggle) Certifications in Data Science / AI from recognized platforms. Preferred candidate profile We are seeking a highly skilled and results-driven Data Scientist / AI Specialist to join our data and AI team. You will be responsible for developing and deploying advanced machine learning and AI models to solve business problems, drive data-based decision-making, and support AI-driven product development. What We Offer A dynamic and collaborative work environment Opportunities to work on cutting-edge AI/ML projects Flexible work arrangements Competitive compensation and performance bonuses Continuous learning support through training and certifications.

What you will do In this vital role you will be a member of the Transformation Analytics team, supporting Amgens Technology & Workforce Strategy. We are seeking a highly motivated individual who will demonstrate financial and data analytics with critical thinking to enable enterprise-wide workforce transformation by connecting data across our people, finances and capabilities to enable business insights and decisions. You will be responsible to deliver critical analytics and insights throughout the value journey, including developing resource, financial and capability baselines, developing taxonomies, analytics data packs, cases, value confirmation and value realization. In addition, you will collaborate with our Technology teams to support ongoing automation and continuous improvement. Ultimately, you will be part of the team that enables the development of a sustainable platform for ongoing transformation. The ideal candidate will demonstrate their analytical acumen to challenge the status quo, drive continuous improvement, and embed digital ways of working into our end-to-end processes. Support deliverables for workforce strategy : Support financial and data analyses across baselining, case, value confirmation, value extraction and value realization. Collaborate with cross-functional global teams to ensure accurate analytics and insights delivery operating in the "following-the-sun" model Activity-Based Cost Analysis : Support analyses of total workforce spend and allocation. Recommend strategic cost-saving initiatives and optimizations based on analysis findings. Vendor Analysis : Support the evaluation of vendor performance and impact on organizational efficiency. Develop strategies for vendor optimization and cost management. Opportunity Analysis : Support identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. System Updates & Scenario Modeling : Build and optimize data and financial models that support key processes across the value journey of our transformation. Help ensure central systems and scenario modeling tools are updated with accurate data and assumptions. Lead the development of new modeling tools to enhance predictive capabilities. External Market Analysis : Support the analysis of external market trends and their impact on workforce strategy. Provide strategic recommendations based on market insights to drive organizational competitiveness. Job Responsibilities: Build and manage detailed resource and financial baselines for key initiatives and functions Support the development of value ambition (robust cases) Conduct analyses for value confirmation as an outcome of detailed design and elevate value risks to leadership Support the management of deviations against the approved case and assist in value reconciliation Analyze workforce data to identify areas of opportunity and support resource optimization across functions Build and optimize data models across the value journey, drive data collection and integration for operational insights Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the "following-the-sun" model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 to 4 years of Data Analytics / Finance OR Masters degree and 4 to 6 years of applicable experience OR Bachelors degree and 6 to 8 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 10 to 12 years of Data Analytics, Science & Technology Management or Finance experience Proficiency in financial modeling (Excel), data analytics and business intelligence tools Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods Experience working in highly collaborative cross-functional environments Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 4 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience working with business partners to identify complex functionality and translate it into requirements Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills Elevated level of integrity and ethical standards Problem-solving and critical thinking capabilities Adaptability to a dynamic and challenging environment

locationsBangalore,India time typeFull time posted onPosted 30+ Days Ago job requisition idR0000387027 About us: As a Fortune 50 company with more than 450,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position overview: Develop and deploy scalable deep learning models to improve experience of Target guest Architect and implement large-scale AI systems using test-driven development practices Build NLP technology for query and document analysis, processing, and understandig Create data pipelines for feature/label extraction and generation Conduct data analysis to identify opportunities and improve models Conduct research to advance the state-of-the-art machine learning and NLP technologies Contributing to the operations/building of AI pipelines Adopting Target's infrastructural platforms and operationalize tools and systems around them Mentor and partner with other engineers to develop software that meets business needs Follow agile methodology for software development and technical documentation Innovate constantly and keep systems up to date with current technologies About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 6+ years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Java/ Scala and/ or Python Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Know More About Us Here: Life at Target- Benefits- Follow us on social media Target Tech- https://tech.target.com/

Senior Manager, Transformation Analytics What you will do In this vital role you will be a member of the Transformation Analytics team, supporting Amgens Technology & Workforce Strategy. We are seeking a highly motivated leader who will maximise financial and data analytics with critical thinking to enable enterprise-wide workforce transformation by connecting data across our people, finances and capabilities to enable business insights and decisions. In this role, you will lead and supervise an Analytics pod consisting of 1-3 junior resources. You will be responsible to deliver critical analytics and insights throughout the value journey, including developing resource, financial and capability baselines, developing taxonomies, analytics data packs, business cases, value confirmation and value realization. In addition, you will collaborate with our Technology teams to support ongoing automation and continuous improvement. Ultimately, you will lead a team that will enable development of a sustainable platform for ongoing transformation. The ideal candidate will leverage their analytical acumen to challenge the status quo, drive continuous improvement, and embed digital ways of working into our end-to-end processes. Team Leadership : Lead a small pod of 1-3 analysts to support key deliverables below Lead development of deliverables for workforce strategy : Lead team to deliver financial and data analyses across baselining, case, value confirmation, value extraction and value realization. Collaborate with cross-functional global teams to ensure accurate analytics and insights delivery operating in the "following-the-sun" model Activity-Based Cost Analysis : Lead analyses of total workforce spend and allocation. Recommend strategic cost-saving initiatives and optimizations based on analysis findings. Vendor Analysis : Lead evaluation of vendor performance and impact on organizational efficiency. Develop strategies for vendor optimization and cost management. Opportunity Analysis : Lead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. System Updates & Scenario Modeling : Lead teams in integrating data across multiple systems and functions, to help optimize data and financial models that support key processes across the value journey of our transformation. Help ensure central systems and scenario modeling tools are updated with accurate data and assumptions. Lead the development of new modeling tools to enhance predictive capabilities. External Market Analysis : Direct the analysis of external market trends and their impact on workforce strategy. Provide strategic recommendations based on market insights to drive organizational competitiveness. Job Responsibilities: Supervise small team focused on the development of comprehensive resource and financial analyses for Tech and workforce strategy program Lead reporting of insights on Tech & Workforce Strategy program Manage creation of complex cases, incorporating multiple data sources Manage data validation of the Value Confirmation analysis, review executive summary outputs Direct teams in identifying and reconciling deviations from the approved case Lead analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Lead development of models for long-term planning and decision-making, ensuring strategic alignment Facilitate data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives Provide guidance for design and implementation of automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate with existing systems Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the "following-the-sun" model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans Influence cross-functional partners to demonstrate single source of truth of transformation data being built in OPI&A (Organization planning, insights & analytics) What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 years of Data Analytics / Finance experience OR Masters degree and 8 to 10 years of applicable experience OR Bachelors degree and 10 to 14 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 14 to 18 years of Data Analytics, Science & Technology Management or Finance experience 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Leader who can connect the dots across matrixed organization Proficiency in Microsoft Excel Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods. Energy for applying technical skills to solving complex business problems with elegant data analyses and Digital Products Experience working in highly collaborative cross-functional environments Proficiency in financial modeling, data analytics and business intelligence tools Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 6-8 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Understanding of / experience in the Bio-Pharmaceutical industry Business transformation experience involving recent technology advancements Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience performing data analysis across one or more areas of the business to derive business logic for data integration Experience working with business partners to identify complex functionality and translate it into requirements Experience in preparing executive communication to include written and oral presentations. Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills. Elevated level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and lead change. Adaptability to a dynamic and challenging environment.

What you will do In this vital role you will be a member of the Transformation Analytics team, supporting Amgens Technology & Workforce Strategy. We are seeking a highly motivated leader who will maximise financial and data analytics with critical thinking to enable enterprise-wide workforce transformation by connecting data across our people, finances and capabilities to enable business insights and decisions. In this role, you will lead and supervise an Analytics pod consisting of 1-3 junior resources. You will be responsible to deliver critical analytics and insights throughout the value journey, including developing resource, financial and capability baselines, developing taxonomies, analytics data packs, business cases, value confirmation and value realization. In addition, you will collaborate with our Technology teams to support ongoing automation and continuous improvement. Ultimately, you will lead a team that will enable development of a sustainable platform for ongoing transformation. The ideal candidate will leverage their analytical acumen to challenge the status quo, drive continuous improvement, and embed digital ways of working into our end-to-end processes. Team Leadership : Lead a small pod of 1-3 analysts to support key deliverables below Lead development of deliverables for workforce strategy : Lead team to deliver financial and data analyses across baselining, case, value confirmation, value extraction and value realization. Collaborate with cross-functional global teams to ensure accurate analytics and insights delivery operating in the "following-the-sun" model Activity-Based Cost Analysis : Lead analyses of total workforce spend and allocation. Recommend strategic cost-saving initiatives and optimizations based on analysis findings. Vendor Analysis : Lead evaluation of vendor performance and impact on organizational efficiency. Develop strategies for vendor optimization and cost management. Opportunity Analysis : Lead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. System Updates & Scenario Modeling : Lead teams in integrating data across multiple systems and functions, to help optimize data and financial models that support key processes across the value journey of our transformation. Help ensure central systems and scenario modeling tools are updated with accurate data and assumptions. Lead the development of new modeling tools to enhance predictive capabilities. External Market Analysis : Direct the analysis of external market trends and their impact on workforce strategy. Provide strategic recommendations based on market insights to drive organizational competitiveness. Job Responsibilities: Supervise small team focused on the development of comprehensive resource and financial analyses for Tech and workforce strategy program Lead reporting of insights on Tech & Workforce Strategy program Manage creation of complex cases, incorporating multiple data sources Manage data validation of the Value Confirmation analysis, review executive summary outputs Direct teams in identifying and reconciling deviations from the approved case Lead analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Lead development of models for long-term planning and decision-making, ensuring strategic alignment Facilitate data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives Provide guidance for design and implementation of automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate with existing systems Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the "following-the-sun" model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans Influence cross-functional partners to demonstrate single source of truth of transformation data being built in OPI&A (Organization planning, insights & analytics) What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree and 2 years of Data Analytics / Finance experience OR Masters degree and 8 to 10 years of applicable experience OR Bachelors degree and 10 to 14 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 14 to 18 years of Data Analytics, Science & Technology Management or Finance experience 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Leader who can connect the dots across matrixed organization Proficiency in Microsoft Excel Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods. Energy for applying technical skills to solving complex business problems with elegant data analyses and Digital Products Experience working in highly collaborative cross-functional environments Proficiency in financial modeling, data analytics and business intelligence tools Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 6-8 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Understanding of / experience in the Bio-Pharmaceutical industry Business transformation experience involving recent technology advancements Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience performing data analysis across one or more areas of the business to derive business logic for data integration Experience working with business partners to identify complex functionality and translate it into requirements Experience in preparing executive communication to include written and oral presentations. Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills. Elevated level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and lead change. Adaptability to a dynamic and challenging environment.

Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on About The role As Senior Engineer, you will join a Target Tech team responsible for Promotion forecasting and optimization. You will play crucial role in designing, implementing, and optimizing the machine learning solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/ or Python/ Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Familiarity with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development .

About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/ or Python/Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Familiarity with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development

Description Skills Required Strong experience working in Cloud-based Engineering teams preferably using AWS. Solid understanding of dimensional modelling. Thorough understanding of Python and SQL for data exploration and transformation ideally within Spark environments (Pyspark SparkSQL) such as within Glue jobs. Strong written and oral communication skills and presentation skills with the ability to translate business needs to system and software/data requirements. Strong analysis and analytical skills with attention to detail within complex systems and datasets particularly on relationships between them. Solid understanding of version control systems specifically Git. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade B Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60236 (P) Software Engineering Local Role Name 6504 Developer / Software Engineer Local Skills 45331 AWS Cloud Formation Languages RequiredEnglish Role Rarity To Be Defined

Candidate Expectation & Job Responsibility: Minimum 5+ years of relevant work experience in Python coding Machine Learning, Artificial Intelligence, Data Science Understanding business objectives and developing models that help to achieve them along with metrics to track their progress Analysing the ML algorithms that could be used to solve a given problem Exploring and visualizing data to gain an understanding of it Verifying data quality and/or ensuring it via data cleaning Finding available datasets online that could be used for training Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyper parameters Analysing the errors of the model and designing strategies to overcome them Good knowledge in Deep Learning Pattern Recognition, Text Analytics Expertise in analytical & Mathematical and Big Data technologies. Ability to design develop and implement AI /ML algorithms Hands on experience in at least 2-3 Deep Learning & AI Framework Hands on experience on at least 2 ML coding languages Hands on experience on at least 2 - 3 Development Tools Experience on at least 2-3 ML/ Data science Tools Experience on at least 2-3 Data Exploration and Visualization tools . Contact Person - Poornima Contact Number - 9840937225 Email - supraja@gojobs.biz

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Security Data Privacy Good to have skills : Security Architecture Design Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Security Architect, you will define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. You will document the implementation of the cloud security controls and transition to cloud security-managed operations. Your typical day will involve designing and implementing security solutions, collaborating with cross-functional teams, and ensuring the integrity and confidentiality of data. Roles & Responsibilities:-> Maintaining the integrity of data and processes in OneTrust-> Hands-on in data discovery & classification and Data Mapping automation-> Supporting the team with OneTrust assessments-> Hands-on support using Onetrust for Policy & Notice Management and DPIA->Hands-on support using OneTrust for Cookie compliance, including scanning and banner->Hands-on support using OneTrust for Consent compliance and maintain records of consent->Hands-on support using OneTrust for Data Subject Requests to automate request to fulfilment to meet regulatory deadlines->Hands-on Data retention & deletion - Manage and enforce retention policies and data deletion.->Evaluating PIA/DPIA assessments for Risk Management, including Vendors->Need to have hands on experience on Collibra Professional & Technical Skills: Minimum Qualification:-> 3-4 years of hands-on experience as an OneTrust administrator-> 3 year of experience with GDPR:DPIA, Data Mapping including assessments in Records of Processing Activity and Vendor Risk Management, Third Party Risk Management.-> 2 year of experience in Cookie Compliance banner implementation, Consent Management, DSAR & PIA/DPIA, Third Part Vendor Risk Management.-> Excellent communication skills in English - both written and verbal-> OneTrust certified Professional (required)-> OneTrust certified Expert (preferred) Additional Information: The candidate should have a minimum of 7.5 years of experience in Security Data Privacy. This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time education