Greetings from TCS! TCS is hiring for ETL Tester Required Skill Set: SAS+ETL Testing Desired Experience Range: 5 to 10 Years Job Location: PAN INDIA Should be strong in Azure and ETL Testing(Highly Importance), SQL and good Knowledge in Data Warehousing (DWH) Concepts Able to work individually and meet the testing delivery expectation from End to End. Able to analyze the requirement, pro-actively identify the scenarios, co-ordinate with business team and get it clarified. Able to understand, convert and verify the business transformation logic into technical terms Should be willing and ready to put in additional effort to learn SAS Should be willing and ready to put in additional effort to learn Python and Pyspark Show more Show less

Advisor will work closely in a consultative capacity with senior CoE management & global sales leadership on multiple projects related to customer & pricing analytics. Advisor is expected to provide industry recognized thought leadership at the enterprise level related to data analysis & visualization, creating the logic for and implementing strategies, providing requirements to data analysts and technology teams on data attributes, models and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience. Provides regular expert consultative advice to senior leadership and champions the design and development of innovative solutions. Should possess and demonstrate understanding of core Business and Commercial concepts including financial metrics, market dynamics, and competitive landscapes. Communicates results to a broad range of audiences. Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Grade :11 "Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date" What Your Main Responsibilities Are The Key responsibilities of this role are: Leads & guide teams that leverage most advanced descriptive & diagnostic techniques and/or other approaches in analysis of complex business situations. Work cross-functionally with teams to analyze usage and uncovering key, actionable insights Champions, develops and implements innovative solutions from initial concept to fully tested production, and communicates results to a broad range of audiences Expert use, investigation and implementation of the most current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management that will enable process transformation Designing and measuring controlled experiments to determine the potential impact of new approaches. Help with various data analysis and modelling projects Place actionable data points and trends in context for leadership to understand actual performance and uncover opportunities. Take ownership of the end-to-end system from Problem statement to Solution Delivery and leverage other teams if required Mentors less senior staff. Lead cross functional projects and programs formally preparing and presenting to management. Routinely work on multiple highly complex assignments concurrently. Provides expert consultation to Sr. Leadership routinely and present insights with strong storytelling skills What We Are Looking For Key skills needed for this role: Skills Strong financial acumen particularly of pricing models/systems, revenue & cost structures, contribution & operating margins, and P&L views Excellent stakeholder management skills particularly with team members across different regions to achieve common goals Strong communication skills to communicate with people across all levels including senior management & be able to tell logical stories by crafting solid visually appealing presentations. Excellent project management skills Strong analytical skills to deliver accurate results & actionable recommendation. Key behaviors & mindsets: Consultative mindset Innovation mindset Bias for action with a focus on transformation of legacy processes Sense of ownership Qualification Master’s degree in business, information systems, computer science, or a quantitative discipline from tier1/2 institutes. Experience requirement: 7-10 years of relevant analytics/consulting/leadership experience Tools/platforms: Oracle, SQL, Teradata, R, Python, Power BI, AbInitio, SAS, Azure Databricks FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace. Show more Show less

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Business Strategy Job Number: WD30241776 Job Description Digital Operations Analyst Our employees are the most important part of our business. Thank you for your interest in applying to new opportunities with us. What you will do The Digital Operations Analyst is part of our Building Technologies & Solutions business at Johnson Controls. We are looking for a person to support Commercial Sales in our digital solutions business with data analytics. This person will create solutions, drive insights and be a part of our business transformation. This is a Pune or Banglore, India based position. The role is responsible for the design, implementation, and ongoing management of Business Analytics within Johnson Controls digital business. Under the direction of the Digital Operations Director, this role is responsible for analytics and advanced data initiatives which include identifying business needs and producing solutions, designing and implementing processes. This individual will act as an ambassador for the digital team, promoting management adoption of standard data management and analytical capabilities through the delivery of reliable data and information. As a member of the digital team, this role requires a team member who leads by example, is confident, perseverant, inspirational, disciplined and dependable. Ensures timely and accurate administration of specified operations for our digital team – i.e. revenue recognition, financial projections, and scenario analysis. Analyzes customer data and sales offering mix trends for strategy development. The ability to deliver tactical projects while anticipating issues and thinking strategically is a must have. How you will do it Participate in visualization, testing, and implementation of solutions. Communicate and execute KPI delivery with leadership teams. Review key requirements with business leaders. Understand current and future business requirements and tool capabilities. Design, develop, and support analytics functions (dashboards, reports, etc.). Obtain user acceptance on solutions with business leads. Create project plans, track progress, and communicate updates. Build and maintain data models, automated reports, and dashboards . Define local source systems and data transformation with IT SMEs. Design and deliver user-friendly customer interfaces for business intelligence metrics. Coordinate Business SME participation as needed. Conduct data gap assessments aligned to KPI definitions. Manage metric definitions and identify changes for KPI implementation. Define business processes and data requirements, lead global KPI implementation. Prioritize KPI implementation delivery based on business requirements and data availability. Manage project tasks and support project managers in estimation, risk management, and issue resolution. Integrate quality practices in delivery and audit work products. What we look for Bachelor’s Degree in Computer Science, Engineering or Business. 3+ years of experience in data analytics, business intelligence, or data science capacity Experience with data analytics. Creating and reviewing business data, assessing and making recommendations. Data and BI technology experience; Relational Databases, Power BI, Azure, SQL, Data Warehousing. Advanced data analysis experience: Python, SAS or other statistical analysis tools. Knowledge of statistics and statistical modeling approaches for analytics. Understanding and experience with Machine Learning tools and approaches. Ability to gather and document business, analytical and reporting requirements. Skilled at data profiling and data analysis. Ability to direct unit testing during development cycles and to define test cases. Ability to manage multiple priorities in a complex environment. Knowledge of most of the key concepts related to master data management, data standards and data organizations preferably. Confidence to interface with all levels of management. Ability to travel minimally, within the US. Example: if needed for a project A successful candidate will possess the following skills and behaviors: Respected, business knowledgeable and able to coordinate a set of business and IT resources as to how business data flows, rules and can direct design and creation of reports and analytics. Ability to influence decisions and direction in support of initiatives Problem-solving skills – ability to navigate technology and organizational issues to complete project tasks Strong communication and inter-personal skills; ability to work effectively with onsite and offsite teams Strong English skills JCI is an Equal Opportunity Employer and does not discriminate on the basis of any protected categories.

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling The role of the Sub Same Day business is to provide ultrafast speeds (2 hour and same day scheduled) and reliable delivery for selection that customers fast. Customers find their daily essentials and a curated selection of Amazon’s top-selling items with sub same day promises. The program is highly cross-functional in nature, operations intensive and requires a number of India-first solutions to be created, which then need to be scaled WW. In this context, SSD is looking for a talented, driven and experienced Business Analyst It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company. Joining the Amazon team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The Business Analyst is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act. The successful candidate needs to have : - A passion for numbers, data and challenges. - High attention to detail and proven ability to manage multiple, competing priorities simultaneously. - Excellent verbal and written communications skills. - An ability to work in a fast-paced, complex environment where continuous innovation is desired. - Bias for action and ownership. - A history of teamwork and willingness to roll up one’s sleeves to get the job done. - Ability to work with diverse teams and people across levels in an organization - Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions. Key job responsibilities Key Responsibilities - Influence business decisions with data. - Use data resources to accomplished assigned analytical tasks relating to critical business metrics. - Monitor key metrics and escalate anomalies as needed - Provide input on suggested business actions based on analytical findings. Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Business Intelligence Engineer in the Amazon Grocery Data and Tech. As a Business Intelligence Engineer, you will be responsible for execution of rapidly evolving complex demands, design, development, testing, deployment and operations of multiple analytical solutions. You will be responsible for delivering some of our most strategic analytics initiatives. You will create insights that support all of Amazon’s grocery businesses and have a significant impact on Amazon’s top-line and competitive position. A successful candidate will bring deep technical expertise, strong business acumen and judgment, ability to define ground breaking products, desire to have an industry wide impact and ability to work within a fast-moving environment in a large company to rapidly deliver services that have a broad business impact. They will define metrics to measure business performance and drive efficiency improvements. About the team Amazon Grocery Data and Technology (GDT) team is the central data team for Amazon Grocery, consisting of engineering teams (BIEs/DEs/SDEs). We are the direct owner of (a) Infrastructure and services used for reading, processing, reporting and enrichment of grocery data; (b) Productivity tools; (c) Reporting solutions for worldwide 1P and 3P customers across the following businesses: Amazon Fresh Grocery (AFG), Whole Foods Market (WFM), Amazon Go, Amazon Grocery Partners, etc. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Institute of Statistical Science Postdoctoral Researcher and/or Research Assistant Job Description Unit Institute of Statistical Science JobTitle Postdoctoral Researcher and/or Research Assistant Work Content Assist the cooperative with statistical consulting and related services. Responsible for data analysis tasks, including data preprocessing, database construction, data analysis, and report writing. Participate in various activities organized by the Institute of Statistical Science and the cooperative. Assist with administrative affairs of the cooperative. Complete other tasks assigned as needed. Qualifications Research assistant requires a master's degree, and postdoctoral researcher requires a doctoral degree in Statistics or Data Science related fields. Knowledge in "Biostatistics," "Generalized Linear Models," "Multivariate Analysis," and "Categorical Data Analysis” is required Must be familiar with programming languages such as R, SAS, Python, with experience in database development/maintenance and application being a plus. Priority given to candidates with experience in statistics and scientific computing, as well as various types of data analysis. Preference given to candidates with expertise in biostatistics or bioinformatics. Working Environment Operating Hours 08:30~17:30 Work Place Institute of Statistical Science, Academia Sinica Treatment Based on the institute's salary standards and individual qualifications and experience (starting at NT$62,776 for Ph.D. holders, NT$43,624 for master's degree holders). Reference Site http://disc.stat.sinica.edu.tw/ Acceptance Method Contacts Dr. Shu-Chun Chen Contact Address No.128, Academia Road, Section 2, Nankang, Taipei, Taiwan Contact Telephone 2783-5611 ext. 476 Email scchen@stat.sinica.edu.tw Required Documents Resume in both Chinese and English (including autobiography), transcripts from university and above, and other beneficial documents for review. Precautions for application Application Method: Interested parties, please email the required documents to scchen@stat.sinica.edu.tw. Suitable candidates will be notified for an interview. Documents will not be returned. Date Publication Date 2024-08-08 Expiration Date 2025-12-31 Show more Show less

Description Amazon India is seeking highly analytical and detail oriented candidate to join the Consumables Category team in Bangalore. As part of the team, the analyst will analyze business decisions, troubleshoot issues, and communicate the findings effectively across different teams. This role will support regular operations of a part of the E-commerce business. An ideal analyst is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organizing and communicating his work. Basic Qualifications 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelor's degree Knowledge of data pipelining and extraction using SQL Experience with data mining tools like SQL, SAS, SPSS, or similar Preferred Qualifications Knowledge of SQL and Excel at a moderate or advanced level Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3006074 Show more Show less

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience We welcome a bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e.g., R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. Show more Show less

Job Description Summary Provide Protection & Control for SAS and conventional projects for any kind of electrical substations, as per customer specification / requirement and internal standards.Plan and execute basic & detailed design for all Automation & Protection applications involving switch-yard and generator circuits. Deliver quality on-time documentation for Procurement, Manufacturing, Testing, Site Erection and Commissioning. Support drafting schematics activity Job Description Roles and Responsibilities Receipt of Inputs from Remote Team and verify them for completeness for execution of Job. Hand-over of Deliverables to Remote Team after completion of Job. Understand expected deliverables (delivery model, documents to deliver, delivery schedule, standards and examples to apply) Study of Specification / Technical inputs Protection and Control Engineering of DCS & Conventional projects - Switchyard and Generator protection circuits including Bus Bar, Distance, Differential, feeder protection relays using multiple make IEDs (GE / ABB / Siemens / SEL etc.) Control Engineering using BCU for SCADA based Automation System Preparation of Technical Design, Engineering Calculations and Drawings. Check & Validate design documents Selection of IEDs / components (Relays, Bought-on-Jobs materials etc.) and BOM validation Release of manufacturing instructions and inputs for Database configurations Co-ordinate with various stakeholders including Testing team for Internal Validation & FAT Prepare Compliance to customer observation / comments Compliance w.r.t. International Codes / Standards Evolve cost effective / optimized solutions Share Return of Experience & Knowledge Capitalization. Implement the applicable RoEs during design phase Prepare As-manufactured and As-built documentation. Schedule periodic reviews / follow-up meetings with front units Adapt to project delivery model depending on unit Participate to meetings with front unit Technical leader and project management and finalize submission of deliverables, and commit in terms of man days and delivery. Manage design time spent on relevant activities Ensure on-time delivery of Quality design deliverables. Anticipate and mitigate delivery issues and recommend change On weekly basis provide Team lead and /or PM with project reviews. Project strategy, risk management Follow Project strategy Highlight scope or design changes (data for claims, VO) Track, manage & mitigate identified or potential deviations / risks Comply with Quality Procedures, work instructions and Processes. Deploy Engineering tools as per strategy Follow GE drafting process Ensure issuance of technical specifications and basic document to enable procurement of materials. Coordinate and review technical offers from suppliers for relevant activity Required Qualifications Bachelor Degree in Engineering 4+ years in B.E. / B.Tech. (Electrical) or (Electrical & Electronics) Knowledge of Power System & Primary Equipment, Substation Automation, Communication Protocols etc. Product (Protection IEDs) Knowledge, Protection philosophy & concepts, Trip & Interlock Logics, Cubicle Manufacturing knowledge, Engineering calculations & Design tools Desired Characteristics Strong oral and written communication skills Strong interpersonal and problem-solving skills Ability to work independently Ability to work with international interlocutors Ability to adapt to other countries standards Collaboration and Teamwork; Innovation; Convincing and Influencing GE Vernova is an Equal Opportunity Employer. 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. Additional Information Relocation Assistance Provided: Yes Show more Show less

Job Description Summary Provide Protection & Control for SAS and conventional projects for any kind of electrical substations, as per customer specification / requirement and internal standards.Plan and execute basic & detailed design for all Automation & Protection applications involving switch-yard and generator circuits. Deliver quality on-time documentation for Procurement, Manufacturing, Testing, Site Erection and Commissioning. Support drafting schematics activity Job Description Roles and Responsibilities Receipt of Inputs from Remote Team and verify them for completeness for execution of Job. Hand-over of Deliverables to Remote Team after completion of Job. Understand expected deliverables (delivery model, documents to deliver, delivery schedule, standards and examples to apply) Study of Specification / Technical inputs Protection and Control Engineering of DCS & Conventional projects - Switchyard and Generator protection circuits including Bus Bar, Distance, Differential, feeder protection relays using multiple make IEDs (GE / ABB / Siemens / SEL etc.) Control Engineering using BCU for SCADA based Automation System Preparation of Technical Design, Engineering Calculations and Drawings. Check & Validate design documents Selection of IEDs / components (Relays, Bought-on-Jobs materials etc.) and BOM validation Release of manufacturing instructions and inputs for Database configurations Co-ordinate with various stakeholders including Testing team for Internal Validation & FAT Prepare Compliance to customer observation / comments Compliance w.r.t. International Codes / Standards Evolve cost effective / optimized solutions Share Return of Experience & Knowledge Capitalization. Implement the applicable RoEs during design phase Prepare As-manufactured and As-built documentation. Schedule periodic reviews / follow-up meetings with front units Adapt to project delivery model depending on unit Participate to meetings with front unit Technical leader and project management and finalize submission of deliverables, and commit in terms of man days and delivery. Manage design time spent on relevant activities Ensure on-time delivery of Quality design deliverables. Anticipate and mitigate delivery issues and recommend change On weekly basis provide Team lead and /or PM with project reviews. Project strategy, risk management Follow Project strategy Highlight scope or design changes (data for claims, VO) Track, manage & mitigate identified or potential deviations / risks Comply with Quality Procedures, work instructions and Processes. Deploy Engineering tools as per strategy Follow GE drafting process Ensure issuance of technical specifications and basic document to enable procurement of materials. Coordinate and review technical offers from suppliers for relevant activity Required Qualifications Bachelor Degree in Engineering 4+ years in B.E. / B.Tech. (Electrical) or (Electrical & Electronics) Knowledge of Power System & Primary Equipment, Substation Automation, Communication Protocols etc. Product (Protection IEDs) Knowledge, Protection philosophy & concepts, Trip & Interlock Logics, Cubicle Manufacturing knowledge, Engineering calculations & Design tools Desired Characteristics Strong oral and written communication skills Strong interpersonal and problem-solving skills Ability to work independently Ability to work with international interlocutors Ability to adapt to other countries standards Collaboration and Teamwork; Innovation; Convincing and Influencing GE Vernova is an Equal Opportunity Employer. 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. Additional Information Relocation Assistance Provided: Yes Show more Show less

As the Data & Technology Enablement - End User Computing (EUC) Senior Analyst, you will be part of the GRAO (Global Regulatory Affairs Office), primarily supporting Risk and Control Enhancements (RCE) program with a focus on EUC Remediation ( End User Computing) & Governance. You will be supporting US Time Zone - onsite EUC Governance & Remediation leadership team, Partner with Technology, Data, ERM, Compliance, Liquidity, and other corporate functions to deliver at-scale change in our risk, reporting, and resiliency capabilities of End User Computing tools. The ideal candidate will have experience with EUC remediation and governance as well as change initiatives, working effectively with cross-functional teams and facilitating alignment between business, risk, and technology stakeholders across the organization. The ideal candidate would also understand the systems and data required for managing Risk and/or Remediation at a large financial organization. This role will be responsible to support and drive compliance to EUC Policy and standards, implementation and maintenance of EUC management tools to support EUC Policy, ensure adherence to EUC related controls, EUC registrations and retirements monitoring and reporting, support design and implementation of RCSA to support quality assurance (QA) and first line credible challenges (FLCC) with Business stakeholders and EUC Champions. The role requires a broad and comprehensive understanding of Risk & Control Data, Analytics, and Technology strategy for eliminating data risk with specific focus on EUC risk and remediation. The role will also engage in supporting Internal Audit and Risk and Compliance requirements to ensure that business and functions are compliant with the policies and standards. The individual would be a seasoned multi-disciplinary person with extensive technical and business knowledge and experience. Excellent communication and influencing skills are key for success in the role. Responsibilities: Execute against EUC governance oversight and remediation capabilities. Be a subject matter expert (SME) in processes, data risk & controls, understanding Data & Architecture to support remediation / elimination of EUCs. Ensures adherence and compliance to EUC Policy, Standards and Procedures and manages go-live of changes. Works with the business and functions SMEs and Tech support to implement EUC governance and management tools to support EUC Policy, Standards and Procedures Supports design and implementation of RCSA to support Quality Assurance (QA) and First Line Credible Challenges (FLCC) Operationalize a robust EUC inventory system with appropriate controls partnering with Technology and various stakeholders. This includes inventorying of EUCs, SAS and AI solutions. EUC Inventory monitoring, EUC remediation tracking and insightful reporting Works closely with EUC Champions to manage new EUC creation & registration process. Provide support & independent review of retirement plans (New EUCs and Exceptions), exception monitoring which includes review and approval of EUCs continued use. Support planning and change control processes for Risk & Control Enablement (RCE) related to Technology and Data work embedded in individual RCE programs as it relates EUC risk elimination. Promptly escalate any issues on capability structure, scope, or execution Provide credible challenge for all aspects of the pertinent EUC processes in support of RCE Program, including and not limited to: RAG ratings, KPIs, status updates, path to green, adherence to dates and deliverables, and quality of deliverables. Required: Must be a strong team player, ready to step up as and when the need arises 10+ years experience required. Experience working as a self-directed contributor and be able to meet complex business objectives in a highly matrixed environment. Strong Program & Project Management skills Experience in technology and data, including large transformation programs with focus on EUC risk management and/or remediation. Specific subject matter expertise in one or more of the following domains: enterprise risk management, GRC, compliance, risk and controls, operational risk, operational resiliency, liquidity Well-developed listening skills Articulate and effective communicator Strong people skills, and proficient with working with teams in complex operational environment Ability to influence positive outcome without direct functional control. No surprise: approach in communicating issues and requests. Strong Leadership skills with proven history of delivering positive and sustainable change. Knowledge of general risk, compliance and governance concepts and methods such as policy management, risk assessments, control testing etc. Understanding of data and technology needs to support regulatory expectations. Bachelors and/or masters degree in business, operations, data, or technology Preferred or nice to have specific skills: Understanding of key banking regulations Good understanding of the SDLC and Agile Scrum methodologies to deliver solutions. Information Security, Risk Management, and Project Management credentials Line 2, Line 3, Line 1.5 experience with focus on Technology or Audit or Quality Assurance Understanding and experience with BCBS 239 Remediation with focus on Technology and Data in a GSIB Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for . We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Nice to meet you! We re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. We re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If youre looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, youll find it here. About the role: The role is based in the Pune R&D Center, at SAS R&D Pune facility. We are looking for a Software Manager to development product within the Customer Intelligence line of business. You will be leading the development activities, optimizing allocation for team member, lead the team technically, involve all the stakeholders appropriately, and maintain project standards and best practices and deliver outcomes as planned. Essential Experience: At least 12 years of working experience in software development At least 2 years of management/leading experience of software development teams Experience of architecting technically sophisticated systems. Strong experience in Agile software development cycle Experience in enforcing best technical practices in software development Excellent written and oral communication skills. Understanding of manual and automation testing processes and architecture Understanding of full stack of technology Excellent knowledge of enterprise design patterns Good understanding of data modelling best practices Experience in leading/managing teams with energy and optimism Ability to motivate team members to function collaboratively Good in multi-tasking Experience of these items would be useful: Customer Intelligence domain preferred Experience with Docker, Kubernetes Management in development on any public cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud, etc. Managing Continuous Integration and Continuous Delivery (CI, CD) model We are a friendly team, and we ll be offering you plenty of opportunities to develop your career. Interested? Then please get in touch to find out more! Primary Responsibilities Organizes, develops, prioritizes, and assigns resources to deliver high quality, testable and scalable software solutions within established timelines, while adhering to R&D best practices and processes. Leads development project designs and enforces technical standards to ensure solutions execute correctly across various supported environments (i.e. browsers, devices, operating systems). Proactively leads and solicits the involvement of other project stakeholders (e.g. managers, developers, user interface and visual designers, product managers) to ensure implementation satisfies functional requirements and is consistent with established R&D standards. Manages and leads project scoping and scheduling; tracks progress of individual tasks and alerts executive management and stakeholders of concerns meeting schedules, while following established R&D standards. Manages product quality standards by ensuring functional, unit and performance testing is comprehensive and thorough; works closely with development and testing teams to verify test plans. Organizes, prioritizes, and assigns resources to implement and resolve code changes related to enhancements, redesigns and/or bug fixes. Maintains accountability for the entire life cycle of the code including support for both internal and external consumers. Ensures the veracity of design and technical documentation to satisfy both internal and external consumers. Contributes to product or project direction through collaboration with Product Management, Marketing, Sales, Customers, and others within SAS. Provides technical leadership as appropriate for projects and to the team through mentoring, training, and managing the activities of the team. Manages all aspects of the department including teamwork, performance management, feedback, professional growth through collaboration with SAS human resources, SAS education and executive leadership. CANDIDATE PROFILE Background and Experience SAS is seeking a Software Manager with overall experience of 12+ years, with minimum 2 years management/leading experience. The candidate should have development and management experience in Saas enterprise applications. The candidate should have excellent organizing and prioritizing skills, and sharp technical skills to choose the right direction technically. Candidate should have proven track record of delivery management and people management. Candidate should also have excellent verbal and written communication skills and possess the confidence to pull the work in the right direction, keeping all stake holders involved and engaged. #highlightedjob

Leverage quantitative skills to derive answers to clients ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What you'll Bring MBA with a bachelors (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation

Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What you'll Do: You will design & implement various innovative solutions in the realms of Clinical data management, analytics Work in clinical data management and analytics area as part of strategy building, assessment and technology implementation project as business and data analyst Lead and participate in clinical business process discussions with clients, identify requirements and user stories Conduct online interviews and workshops to gather requirements to support the business needs of users Author high-level user stories and develop related tasks, acceptance criteria and review test cases Participate in clinical business process discussions with clients, identify requirements and user stories Work closely with project teams in creating Requirement Specifications, RTM and other project documents Plan and facilitate various Agile meetings and artefacts, including sprint planning, review & retrospectives, daily stand-ups Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches. Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential. What you'll Bring bachelors degree Pharma/ Bioinformatics / Medicine or related disciplines Masters degree in Business Analyst, Engineering or Science preferred. 5-10 years of experience working within Life Science Domain as solution architect / business analyst / data analys t is required. Experience of working in building solution around drug development - clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Experience working in Clinical data management area as BA or Subject matter expert Understand the end to end process for clinical data management and Analysis Exposure to clinical data coordination and clinical data management area. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred.

An candidate will be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. You will be detail-oriented and organized, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly changing priorities. You will have expertise in process optimizations and systems thinking and will be required to engage directly with multiple internal teams to drive business projects/automation for the RBS team. Candidates must be successful both as individual contributors and in a team environment, and must be customer-centric. Our environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment. Responsibilities Include Works across team(s) and Ops organization at country, regional and/or cross regional level to drive improvements and enables to implement solutions for customer, cost savings in process workflow, systems configuration and performance metrics. Basic Qualifications Bachelors degree in Computer Science, Information Technology, or a related field Proficiency in automation using Python Excellent oral and written communication skills Experience with SQL, ETL processes, or data transformation Preferred Qualifications Experience with scripting and automation tools Familiarity with Infrastructure as Code (IaC) tools such as AWS CDK Knowledge of AWS services such as SQS, SNS, CloudWatch and DynamoDB Understanding of DevOps practices, including CI/CD pipelines and monitoring solutions Understanding of cloud services, serverless architecture, and systems integration As a Business Intelligence Engineer in the team, you will collaborate closely with business partners, architect, design, implement, and BI projects & Automations. Responsibilities: Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards. Development of moderately to highly complex data processing jobs using appropriate technologies (eg SQL, Python, Spark, AWS Lambda, etc) Development of dashboards and reports. Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities and limitations. Deliver minimally to moderately complex data analysis; collaborating as needed with Data Science as complexity increases. Actively manage the timeline and deliverables of projects, anticipate risks and resolve issues. Adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Internal job description Retail Business Service, ARTS is a growing team that supports the Retail Efficiency and Paid Services business and tech teams. There is ample growth opportunity in this role for someone who exhibits Ownership and Insist on the Highest Standards, and has strong engineering and operational best practices experience. Basic qualifications: 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field. Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes. Strong experience with engineering and operations best practices (version control, data quality/testing, monitoring, etc) Expert-level SQL. Proficiency with one or more general purpose programming languages (eg Python, Java, Scala, etc) Knowledge of AWS products such as Redshift, Quicksight, and Lambda. Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams. Preferred qualifications: Experience with data-specific programming languages/packages such as R or Python Pandas. Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR. Knowledge of machine learning techniques and concepts. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc and using databases in a business environment with large-scale, complex datasets

Role & responsibilities : Collaborating with cross-functional teams (e.g., clinical researchers, medical experts, data scientists) to design clinical studies and research protocols. Developing statistical analysis plans (SAP), including the identification of primary and secondary endpoints, sample size calculations, and statistical methodologies. Ensuring statistical methods are aligned with regulatory requirements and industry standards, especially in clinical trials. Providing expertise on randomization techniques and adaptive designs. Leading the analysis of complex datasets, including data from clinical trials, epidemiological studies, and observational studies. Ensuring proper data cleaning, transformation, and validation processes are followed to guarantee the integrity of the data. Using advanced statistical software and techniques (e.g., R, SAS, STATA) to perform statistical modeling (e.g., regression models, survival analysis, mixed models). Analyzing and interpreting results, ensuring conclusions are scientifically sound, and communicating findings in a clear, concise manner. Developing and applying advanced statistical methodologies and techniques tailored to specific study needs, such as longitudinal analysis, survival analysis, or Bayesian methods. Assessing and adapting statistical methods as necessary based on emerging data or evolving study designs. Participating in regulatory meetings and discussions, providing statistical justification for study results and approaches. Mentoring and providing guidance to junior biostatisticians and other team members on statistical methodologies, software, and best practices. Developing training materials and conducting workshops on statistical topics for internal teams and collaborators. Ensuring statistical methods and processes are consistent with industry best practices and organizational standards. Conducting quality control procedures on statistical analyses to verify results and ensure accuracy and validity. Preparing statistical reports, manuscripts, presentations, and posters for scientific journals, conferences, and internal stakeholders. Clearly presenting complex statistical results to non-statistical audiences (e.g., clinical or regulatory teams), ensuring the results are understood and actionable. Working closely with other teams, including clinical researchers, project managers, and data scientists, to ensure the alignment of statistical analyses with research objectives. Actively participating in meetings, strategy sessions, and research reviews to provide statistical insights that can influence study direction and design. Translating statistical findings into actionable recommendations for decision-making. Ensuring that statistical analyses comply with ethical standards and regulatory requirements (e.g., Good Clinical Practice (GCP), Good Statistical Practice (GSP)). Supporting the development of ethical guidelines for statistical methodologies, including ensuring patient safety and data confidentiality. Additional Skills: SAS Programming R Programming (Optional) Advanced knowledge of biostatistics, including statistical theory, methods, and applications. Proficiency in statistical software such as SAS, R, and STATA. Strong communication skills, especially in translating complex statistical concepts into practical recommendations. Attention to detail and the ability to ensure the quality and accuracy of analyses. Experience with clinical trials and regulatory submissions is often critical Qualifications: Master's Degree (Preferred): A Master's in Biostatistics, Statistics, Public Health, or a related field is commonly required for many biostatistician roles, especially in CRO, research institutions, pharmaceutical companies, or public health organizations

The SAS to Databricks Migration Developer will be responsible for migrating existing SAS code, data processes, and workflows to the Databricks platform This role requires expertise in both SAS and Databricks, with a focus on converting SAS logic into scalable PySpark and Python code The developer will design, implement, and optimize data pipelines, ensuring seamless integration and functionality within the Databricks environment Collaboration with various teams is essential to understand data requirements and deliver solutions that meet business needs

Application Deadline: 21 June 2025 Title Senior Analyst- Data Scientist Department Data Value Location Gurgaon Reports To Suman Kaur Level 3 We re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Data Value team and feel like you re part of something bigger. About your team Data Value team drives the renewed focus of extracting value from Fidelity s data for business and client insights and working as one voice with the business, technology, and data teams. The team s vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity International s Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are: To develop deep customer insights for our businesses helping them segment and target customers more effectively To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc. To develop market and competitive intelligence in our key markets to help shape our business planning in those markets The function works directly with business heads and other senior stakeholder s stakeholders to identify areas of analytics, define problem statements and develop key insights. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelity s sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutions: Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit . Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions: (20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Master s in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses. Feel rewarded

The role is based in the Pune R&D Center, at SAS R&D Pune facility. We are looking for a Software Manager to development product within the Customer Intelligence line of business. You will be leading the development activities, optimizing allocation for team member, lead the team technically, involve all the stakeholders appropriately, and maintain project standards and best practices and deliver outcomes as planned. Essential Experience: At least 12 years of working experience in software development At least 2 years of management/leading experience of software development teams Experience of architecting technically sophisticated systems. Strong experience in Agile software development cycle Experience in enforcing best technical practices in software development Excellent written and oral communication skills. Understanding of manual and automation testing processes and architecture Understanding of full stack of technology Excellent knowledge of enterprise design patterns Good understanding of data modelling best practices Experience in leading/managing teams with energy and optimism Ability to motivate team members to function collaboratively Good in multi-tasking Experience of these items would be useful: Customer Intelligence domain preferred Experience with Docker, Kubernetes Management in development on any public cloud providers like Amazon Web Services, Microsoft Azure, and Google Cloud, etc. Managing Continuous Integration and Continuous Delivery (CI, CD) model We are a friendly team, and we ll be offering you plenty of opportunities to develop your career. Interested? Then please get in touch to find out more! Primary Responsibilities Organizes, develops, prioritizes, and assigns resources to deliver high quality, testable and scalable software solutions within established timelines, while adhering to R&D best practices and processes. Leads development project designs and enforces technical standards to ensure solutions execute correctly across various supported environments (i.e. browsers, devices, operating systems). Proactively leads and solicits the involvement of other project stakeholders (e.g. managers, developers, user interface and visual designers, product managers) to ensure implementation satisfies functional requirements and is consistent with established R&D standards. Manages and leads project scoping and scheduling; tracks progress of individual tasks and alerts executive management and stakeholders of concerns meeting schedules, while following established R&D standards. Manages product quality standards by ensuring functional, unit and performance testing is comprehensive and thorough; works closely with development and testing teams to verify test plans. Organizes, prioritizes, and assigns resources to implement and resolve code changes related to enhancements, redesigns and/or bug fixes. Maintains accountability for the entire life cycle of the code including support for both internal and external consumers. Ensures the veracity of design and technical documentation to satisfy both internal and external consumers. Contributes to product or project direction through collaboration with Product Management, Marketing, Sales, Customers, and others within SAS. Provides technical leadership as appropriate for projects and to the team through mentoring, training, and managing the activities of the team. Manages all aspects of the department including teamwork, performance management, feedback, professional growth through collaboration with SAS human resources, SAS education and executive leadership.

About Arctera Arctera keeps the world s IT systems working. We can trust that our credit cards will work at the store, that power will be routed to our homes and that factories will produce our medications because those companies themselves trust Arctera. Arctera is behind the scenes making sure that many of the biggest organizations in the world - and many of the smallest too - can face down ransomware attacks, natural disasters, and compliance challenges without missing a beat. We do this through the power of data and our flagship products, Insight, InfoScale and Backup Exec. Illuminating data also helps our customers maintain personal privacy, reduce the environmental impact of data storage, and defend against illegal or immoral use of information. It s a task that continues to get more complex as data volumes surge. Every day, the world produces more data than it ever has before. And global digital transformation - and the arrival of the age of AI - has set the course for a new explosion in data creation. Joining the Arctera team, you ll be part of a group innovating to harness the opportunity of the latest technologies to protect the world s critical infrastructure and to keep all our data safe. Job Summary Respond to customer inquiries (voice or other digital communications) for an assigned product(s) within a Technical Support Engineer environment. Provide technical support to Arctera customers, partners, and field support staff with varying levels of support maintenance entitlements i.e., entry level, through to premier level entitlements, with focus on diagnosing, troubleshooting, and debugging Arctera software and hardware, including cloud platforms. Position provides an opportunity to continuously develop technical skills through learning and supporting a platform that brings together availability, protection, and insights for our customers. Position requires a motivated, self-starter and self-learner with a customer-first attitude. Primary Accountabilities Provide technical support for Arctera products, on-premises and in cloud platforms. Answer technical questions from customers, partners, and field reps. Resolve cases per productivity, performance and SLA standards and support goals. Document and diagnose system issues resulting in production outages. Research, document, and collaborate on cases as required. Author or update technical documents in Arctera Knowledge Base. Address multiple issues simultaneously, with a case for each issue raised. Establish close interactions with team members. Determine when necessary to engage team members to enable timely case resolution. Participate in weekly meetings and forums with other technical support engineers. Participate in evaluation of new products and features. Knowledge Core Technologies: Experience across one or more of the following. Operating Systems: Windows Servers. System Administration: Server Hardware, Software, maintenance, and troubleshooting. Networking: TCP/IP, TLS, PKI, Firewalls, Routing, VLANs, Link Aggregation (802.3ad, balanced-alb), Authentication (LDAP, Active Directory), DNS, NFS, CIFS. Storage: LVM, RAID, DAS, SAN, NAS, Software-Defined Storage, SAS, Fibre Channel. Diagnostics: Log Analysis, Process Tracing, Debugging, Kernel Panic, Root Cause Analysis. Observability: Application Performance Management, reliability, availability, and serviceability. Infrastructure: Data Center Operations / Management. Arctera product offerings. Additional knowledge: Working knowledge in one or more of the following. Enterprise Information Systems, Application Servers, and Hardware Infrastructure. Virtualization: VMware, Hyper-V, RHV, Nutanix, and Containers (Docker, Podman). Databases: Microsoft SQL Server / MySQL / PostgreSQL. Oracle Database. IBM DB2. Microsoft Exchange / Microsoft 365. Storage: DAS/NAS/SAN: Switches, Zoning, HBA, SFP, WWN, WWPN. Cloud: Object Storage (AWS, Azure, GCP) and on-premises disaster recovery solutions. Basic familiarity with SaaS, PaaS, IaaS, and APIs. Clustering and High Availability systems. Experience with scripting languages (i.e., Python, Perl, and PHP) is beneficial. Skills & Competencies Customer Service Positive attitude and customer centric mindset. Commitment to delivering customer value. Assist customers on live calls via remote assistance. Collaboration Engagement with peers in an open and collaborative environment. Ability to work with multiple stakeholders: Sales, Engineering, Development. Demonstrate b sense of willingness to learn, share, and work together as team. Communication skills Effective customer relationship management. Capable of navigating customer expectations with empathy. Active and reflective listening, problem solving and troubleshooting techniques. Clear and concise technical documentation: Problem Statement, Case Notes, Knowledge Articles. Ability to simplify technical topics in common terms. Time management Plan and prioritize activities effectively. Ability to pivot swiftly to meet customer needs. Apply flexibility and adapt to changing priorities in a dynamic working environment. Maximize engagement with team members to effectively drive case resolution. Troubleshooting Apply decision making and problem-solving techniques. Use systems knowledge to formulate a clear problem statement. Ability to trace application faults at a process level in distributed system environments. Think quickly and react to situations with customer impact. Ability to break down complex problems into simple components Preferred Certifications CompTIA: Network+, Server+. Cloud Certifications: Amazon, Microsoft, Google. Job Complexity Works on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. Exercises judgment within defined procedures and practices to determine appropriate action. Builds productive internal/external working relationships. Supervision Normally receives general instructions on routine work, detailed instructions on new assignments under general supervision. Follows established directions. Work is reviewed for accuracy and overall adequacy. Experience / Education / Qualifications Diploma holders / Graduates / Postgraduates in Engineering / Science. 3+ years of Sys Admin or related enterprise Technical Support Certification in one s product area. 3+ years experience providing 2nd /3rd level support in an enterprise class product company, or 3+ years experience working in a LIVE production environment or datacenter with heterogeneous IT infrastructure. 2+ years experience of public and/or private cloud platform experience preferred.

Your role As a Senior ML Engineer, you will play a crucial role in analyzing, interpreting and building ML models to drive informed business decisions. You will be responsible for developing and implementing OCR solutions, analyzing complex datasets, and providing valuable insights to support our business objectives. Your expertise in statistical techniques, data mining, and reporting will contribute to optimizing efficiency and quality within our organization. What youll be doing Roles & Responsibilities Interpret and analyse data using statistical techniques to identify trends, patterns, and insights. Develop and implement databases, data collection systems, and data analytics strategies to optimize statistical efficiency and quality. Own and lead the project and the team under you. Acquire data from primary and secondary sources to build models. Build, train and deploy models into Production systems. Clean and filter data by reviewing computer reports, printouts, and performance indicators to identify and correct code problems. Collaborate with management to prioritize business and information needs. Identify and define new process improvement opportunities based on data analysis findings. Act as primary and sole contact for the project. Develop and present ongoing reports and dashboards to stakeholders, highlighting key insights and recommendations. Ability to take ad hoc meetings to support offshore customer queries. Utilize reporting packages, databases, and programming languages (such as SQL, Python, or R) for data analysis and visualization. Stay updated with the latest trends and advancements in data analysis techniques and tools. Skills Required Bachelors degree in computer science, Statistics, Mathematics, or a related field. A masters degree is a plus. Minimum of 5 years of proven working experience as ML Engineer or Data Science Engineer, preferably in a technology or finance-related industry. Strong technical expertise in data models, database design development, data mining, and segmentation techniques. Proficiency in reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming languages (e.g., Python, R frameworks). Knowledge of statistics and experience using statistical packages for analyzing datasets (e.g., Excel, SPSS, SAS). Exceptional analytical skills with the ability to collect, organize, Analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient in querying databases, report writing, and presenting findings effectively to both technical and non-technical stakeholders. Strong problem-solving abilities and a proactive mindset to identify opportunities for process improvements. Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Experience in building OCR models is an advantage. About Corpay Corpay is a global technology organisation that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments. All offers of employment made by Corpay (and its subsidiary companies) are subject to the successful completion of satisfactory pre-employment vetting by an independent supplier (Experian). This is in accordance with Corpays Resourcing Policy and include employment referencing, identity, adverse financial, criminal and sanctions list checks. We do this to meet our legal and regulatory requirements. Corpay is dedicated to encouraging a supportive and inclusive culture among our employees. It is within our best interest to promote diversity and eliminate discrimination in the workplace. We seek to ensure that all employees and job applicants are given equal opportunities. Notice to Agency and Search Firm Representatives: Corpay will not accept unsolicited CVs from agencies and/or search firms for this job posting. Resumes submitted to any Corpay employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Corpay. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you.

Nice to meet you! We re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. We re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If youre looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, youll find it here. About the job As a Server Systems Position, you will support day-to-day mission critical operations of SAS complex global compute environments. The Infrastructure as a Service (IaaS) Operations team is responsible for maintaining operational stability of SAS global server systems (Linux/Windows) internal and hosting server (on prem and cloud) infrastructures. The engineer performs incident management, proactive operations, implements basic requests/changes and documents team procedures. Primary responsibilities for this role include: Investigation and management of global and hosting Windows and Linux OS related incidents. Proactive management of Windows and Linux OS infrastructure to help reduce reactive incidents. Fulfill Windows/Linux related request and change tickets. Produce and maintain current documentation for areas of responsibility. Experience: 3-4 Years Required Qualifications Bachelors degree in Computer Information Systems, Computer Science, or related quantitative field or related experience. 3+ years of experience in a heterogeneous, dynamic, customer-focused environment. Extensive experience on Incident management. Experience with Public Cloud with a focus on Azure/AWS/GCP. Experience with Redhat Linux and Windows operating systems, 1 year of experience with your primary OS. Support experience with virtualization technologies (preference of VMWare). Experience with infrastructure architecture including Servers, Network, SAN/Storage and Backup Services to allow for efficient implementation and non-disruptive expansion and upgrades. Experience in scripting languages (Bash, Python, PowerShell, Perl, etc). Preferred Qualifications Collaborative team experience with superior problem-solving skills. Experience with LDAP or Microsoft Active Directory integration within UNIX/Linux. Understanding best practices around information security and data privacy in relation to system access and availability. Support experience with host-side SAN storage integration and utilization. Experience with Public Cloud with a focus on Azure/AWS/GCP. Understanding best practices around information security in relation to confidentiality, integrity, and availability. Familiarity with ISO 27000-series standards. Consulting or work experience with regulated industries, such as, government, health care, and financial institutions. Diverse and Inclusive #SAS

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage risk models (including boosted trees and graph neural networks) as well as vision and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in risk modeling and vision/language models Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact Evaluate model performance in production and refresh/implement necessary updates to maintain optimal system performance. A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

0px> Who are we? In one sentence Understand the business needs of the customer and assess the impact of those needs in order to communicate and implement the recommended efficient solutions. What will your job look like? Analyst, Recommendation & Analytics: Primary Skills Maintain and enhance SAS RTDM (Real-Time Decision Manager) workflows for decisioning logic and customer treatment strategies. Secondary - Develop and design and execute marketing campaigns using SQL, and SAS CI360, SAS Direct. Maintain and enhance existing SAS Direct campaign configurations and ensure timely campaign execution. Technologies -SAS Direct, SAS CI 360, BI Tools" All you need is... Degree in Computer Science or Industrial Engineering & Management - Information System. Customer-facing experience - ability to communicate the Amdocs solution using various methods (presentations, demos, and so on). Wide knowledge of relevant products and E2E Business process. Knowledge of the telecom industry and Amdocs business processes (ETOM, ASOM). Experience in managing a team in cross-Amdocs domain solutions. Why you will love this job: Use your outstanding business analysis skills to make a significant impact on leading solutions that produce the most efficient product solutions. Be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development! You will have the opportunity to work in multinational environment for the global market leader in its field. We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!