529 Statistical Analysis Jobs - Page 10

The role in the Directors Office at IIHS involves supporting the Director in establishing a world-class interdisciplinary University and managing the development of various IIHS Schools and Labs, Academic, Research, Practice, and Capacity Development Programmes. The core responsibilities include managing strategic institution building processes, coordinating with multiple teams across the institution, and overseeing the implementation of planned outcomes. Key activities and tasks for this position include: - Development, implementation, and monitoring of strategic plans and processes for IIHS Schools, Labs, and Programmes - Tracking domestic and international performance, rankings, and reputation of IIHS - Coordinating school, programme, and project management to achieve planned outcomes - Curating the annual calendar of internal and external events and managing the Director's calendar - Planning, running, and documenting institutional and external meetings and discussions - Driving special initiatives anchored by the Directors Office - Providing support to various IIHS activities including academics, research, training, and operations - Participating in all activities of Institution-Building at IIHS and traveling for IIHS work within or outside the country as needed The Manager/Consultant in the Directors Office will report to the Lead in the Directors Office and collaborate with internal teams, external faculty/organizations, and students. Ideal candidates should have domain knowledge of urbanization-related issues, academic and professional qualifications from leading universities, and 8 to 10 years of relevant work experience. Excellent communication skills in English and at least one Indian language are necessary, with knowledge of Hindi or Kannada considered advantageous. Other qualifications required for the role include managerial skills, experience working with international institutions, report writing and presentation skills, interpersonal and relationship management abilities, expertise in MS Office, attention to detail, and the capacity to work in a dynamic environment. The successful candidate should possess a desire and capacity to learn, work in a team, and contribute to building 21st-century knowledge institutions. This position is based in Bengaluru with potential travel to other locations in India. IIHS is an equal opportunity employer that promotes diversity and encourages applications from individuals with the requisite skills and qualifications. For any clarifications regarding the application process, candidates can contact hr@iihs.co.in.,

The Technical Support Consultant for Adobe Solution will provide technical support for Adobe Digital Experience Customers. As an individual contributor, you will be the first point of contact for customers" concerns regarding technical issues. Your key responsibilities will include handling technical problems, ensuring timely response and resolution to inquiries, and documenting all customer cases within established guidelines. You will serve as a customers" advocate by representing their needs with internal product teams and providing proactive issue status updates to required parties. Additionally, you will troubleshoot and qualify cases before escalating to engineering, troubleshoot implementation problems, and work on complex issues that require an in-depth evaluation. To succeed in this role, you should have at least five years of experience in a customer support environment, preferably in a high-tech enterprise setting. You must possess excellent communication skills, both written and verbal, and the ability to systematically troubleshoot problems while ensuring customer satisfaction within service level goals. Strong personal organization skills, ability to multi-task, and prioritize job requirements are essential for this role. Desirable skills include knowledge of Mobile and Video programming solutions, experience with tag management tools, and familiarity with Adobe Solutions such as Adobe Experience Platform, Analytics, Target, and Audience Manager. Additionally, proficiency in JavaScript, jQuery, HTML, CSS, Angular JS, and any JS Framework, as well as experience with SQL, database management, and data insertion and reporting APIs are preferred. At Adobe, creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. Put your best foot forward by updating your Resume/CV and Workday profile, and stay informed about internal mobility opportunities. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. If you're looking to make an impact, Adobe is the place for you.,

You will be responsible for understanding customer needs and requirements in order to develop effective quality control processes. This includes devising and reviewing specifications for products or processes, setting requirements for raw materials or intermediate products for suppliers, and monitoring their compliance. Ensuring adherence to health and safety guidelines as well as legal obligations will be crucial in this role. As part of your duties, you will supervise inspectors, technicians, and other staff, providing guidance and feedback as needed. Your oversight will extend to all product development procedures to identify any deviations from quality standards. You will be expected to inspect final output, compare properties to requirements, and make decisions to approve the right products or reject defectives. Keeping accurate documentation and performing statistical analysis will be essential tasks to maintain quality control. You will also need to solicit feedback from customers to assess whether their requirements are being met. Subsequently, submitting detailed reports to appropriate executives will be required. Your role will involve staying vigilant for opportunities for improvement and developing new efficient procedures. This position is full-time and permanent, with benefits including health insurance and a provident fund. The schedule is during the day shift, and additional bonuses such as a performance bonus and yearly bonus may be provided. The minimum educational requirement for this role is a Bachelor's degree. The work location is in person, and you will be expected to work diligently to ensure quality control processes are effectively implemented.,

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Expected to perform independently and become an SME, you will actively participate/contribute in team discussions and provide solutions to work-related problems. Your responsibilities will include assisting with the data platform blueprint and design, collaborating with Integration Architects and Data Architects, ensuring cohesive integration between systems and data models, implementing data platform components, and troubleshooting and resolving data platform issues. In terms of professional & technical skills, proficiency in Databricks Unified Data Analytics Platform is a must-have. You should have a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Furthermore, a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, is essential. The candidate for this position should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at the Bengaluru office and requires a 15 years full-time education.,

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

A career at HARMAN Automotive offers you the opportunity to be part of a global, multi-disciplinary team dedicated to leveraging the power of technology to shape the future. As a member of our team, you will engineer audio systems and integrated technology platforms that enhance the driving experience, combining innovation, in-depth research, collaboration, and engineering excellence to advance in-vehicle infotainment, safety, efficiency, and enjoyment. About the Role: We are looking for a skilled Machine Learning Engineer with 3 to 6 years of experience to join our team, focusing on AIOps and GenAI projects. In this role, you will be instrumental in developing cutting-edge solutions that utilize machine learning to drive automation and intelligence across our systems. What You Will Do: - Design, develop, and implement machine learning models and algorithms for AIOps initiatives. - Collaborate with cross-functional teams to gather requirements and align with business objectives. - Research and experiment with new ML techniques, frameworks, and tools to enhance system efficiency and performance. - Contribute to the user by developing algorithms and frameworks that enable generalized AI capabilities within our products. - Architect scalable and reliable ML pipelines to handle large volumes of data, ensuring robustness and accuracy. What You Need To Be Successful: Technical Skills: - Proven experience in developing and deploying machine learning models in a production environment. - Proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow, PyTorch, or scikit-learn. - Strong understanding of statistical analysis, data structures, and algorithms. Cloud and Automation Experience: - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and serverless technologies. - Knowledge of automation tools and techniques, and integrating ML models into automated workflows. Problem-Solving and Communication Skills: - Strong problem-solving abilities in a fast-paced, collaborative environment. - Effective communication skills to convey technical concepts and solutions to stakeholders. Bonus Points if You Have: - Certification in Machine Learning and AI. - Experience with large-scale ML deployments and managing complex data pipelines. - Familiarity with DevOps practices and tools. What Makes You Eligible: - 3 to 6 years of relevant experience in developing and deploying machine learning models. - Strong technical expertise in machine learning, programming languages, and cloud platforms. - Ability to analyze complex problems and develop effective solutions. - Collaboration and communication skills to work effectively with cross-functional teams. What We Offer: - Competitive salary and benefits package. - Opportunities for professional growth and development. - Collaborative and dynamic work environment. - Access to cutting-edge technologies and tools. - Recognition and rewards for outstanding performance. - Opportunity to work with a renowned German OEM. Join our talent community today and be part of a culture that values diversity, encourages sharing of ideas, and supports personal growth and development. At HARMAN, innovation is at the core of everything we do, creating technologies that make the world smarter, safer, and more connected across automotive, lifestyle, and digital transformation solutions. If you are ready to make a lasting impact through innovation, we invite you to join us.,

As a Demand Planning Specialist reporting to the Manager Supply Chain India, your primary responsibilities will include driving the demand planning process for the consumer tire business. You will provide analytical and statistical inputs during monthly consensus cross-functional demand meetings to support all planning horizons. It will be essential to incorporate learnings from sales forecast analysis and focus on continuous improvement. Your role will involve developing collaborative planning with replacement and OE Key Account Managers, taking into account various industry, market, and analytical inputs to ensure a robust demand for future months. You will support the business team in enhancing forecasts at both country and distribution center levels. Coordination with the business team to identify risks and opportunities associated with demand is crucial for achieving a well-balanced plan. You will be responsible for driving the Sales and Operations Planning (S&OP) process within the leadership team, ensuring adherence to timelines and fostering informed decision-making with high sales plan stability. Collaboration with the regional Center of Excellence (COE) team will be necessary to strengthen and enhance the demand planning process. **Must-Have:** - Extensive experience in Demand Planning. - Background in manufacturing industries such as Tyre, Automobile, FMCG, Electronics, Paints, Oil & Gas, etc. - 10+ years of relevant experience. - Any Graduate qualification, MBA preferred. - Individual Contributor role. - Willingness to travel up to 20% as required.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like Python, R, or Scala, proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn, experience with data preprocessing, feature engineering, and data wrangling techniques, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock, familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,

You will be a valued member of our clinical research team as a Statistical Programmer, where your primary responsibility will be to program, validate, and deliver statistical outputs for clinical trials. In this role, you will play a crucial part in ensuring compliance with regulatory standards and industry best practices. Your key responsibilities will include developing and maintaining SAS programs for clinical trial data processing, analysis, and reporting. You will be required to map clinical trial data to CDISC standards (SDTM and ADaM) to ensure compliance with regulatory requirements. Creating and maintaining analysis datasets following CDISC implementation guidelines will also be a part of your daily tasks. Additionally, you will perform data validation and quality control checks to uphold data integrity. Documentation and compliance will be another important aspect of your role. Your tasks will involve generating and maintaining CDISC documentation, which includes define.xml files, reviewer's guides, and annotated case report forms (aCRF). Conducting Pinnacle21 validation checks, resolving compliance issues, and ensuring that all deliverables meet regulatory submission standards will be essential. Maintaining comprehensive programming documentation and version control will also be part of your responsibilities. You will also be responsible for producing Tables, Listings, and Figures (TLFs) based on Statistical Analysis Plans (SAP) and collaborating with biostatisticians to implement complex statistical analyses. Supporting clinical study reports and regulatory submissions, as well as performing ad-hoc analyses as requested by clinical teams, will be part of your statistical analysis and reporting responsibilities. Collaboration is key in our team, and you will work closely with clinical data management, biostatistics, and regulatory affairs teams. Your involvement in project meetings, providing technical expertise, supporting timeline planning, and deliverable tracking will be crucial. Additionally, you will mentor junior programmers and provide them with technical guidance. To excel in this role, you will need a minimum of 3+ years of experience as a statistical programmer in clinical research or the pharmaceutical industry. Advanced SAS programming skills, including expertise in Base SAS, SAS/STAT, SAS/GRAPH, and SAS Macro language, are required. A strong understanding of clinical trials, CDISC standards, and experience with CDISC documentation are essential. Soft skills such as excellent communication, problem-solving mentality, attention to detail, and effective team collaboration will also be important. Preferred qualifications include experience with Real-World Data (RWD), Pharmacokinetic (PK) calculations, R programming, and knowledge of other statistical software packages. A Bachelor's degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related field is required, while an advanced degree is preferred but not mandatory if you have relevant experience. This position offers a competitive salary, comprehensive benefits package, professional development and training opportunities, a collaborative work environment, and career advancement opportunities within our growing organization. Join us and contribute meaningfully to clinical research while developing expertise in regulatory compliance and industry best practices.,

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Our team of experts in commercial data, technology, and operations collaborates to shape the future with leading Life Sciences clients and carefully chosen peers. People are at the heart of our success, and we uphold our CARE values framework, prioritizing customer needs, pursuing innovation, fostering respect, and maintaining a focus on quality-led execution. As a Data Scientist in Pune at Improzo, your role involves driving insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You will be optimizing Pharma commercial strategies and improving patient outcomes through various analytical techniques. Your responsibilities will include engaging with client stakeholders to understand challenges and strategic objectives, exploring and preparing complex datasets from various sources, developing statistical models and machine learning algorithms, analyzing promotional effectiveness and patient adherence, utilizing generative AI and LLM solutions, transforming analytical findings into actionable recommendations, collaborating with cross-functional teams, and supporting the entire data science lifecycle. To qualify for this role, you should have a Master's or Ph.D. in a related quantitative field, at least 4 years of experience as a Data Scientist, a solid understanding of pharmaceutical commercial operations, experience with real-world patient data and patient journeys, strong programming skills in Python and/or R, expertise in SQL and data visualization tools, familiarity with cloud platforms and big data technologies, knowledge of NLP techniques and LLMs, experience with MLOps practices and tools, and an understanding of industry regulations and compliance requirements. Additionally, excellent communication, presentation, interpersonal skills, attention to detail, client centricity, ability to work independently and as part of a team, and strong leadership skills are essential. Join us at Improzo for a competitive salary and benefits package, the opportunity to work on cutting-edge Analytics projects, a collaborative work environment, and professional development opportunities. If you are passionate about data manipulation, analytics, generative AI, commercial pharma, MLOps, and have the necessary skills and experience, we look forward to having you on our team.,

As a Managing Consultant in Business Experimentation at Mastercard, you will be a part of the Advisors & Consulting Services group, specializing in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your role will involve advising executives on business decisions using Mastercard's predictive analytics SaaS platform, Test & Learn. By working closely with customers, you will help identify key priorities, design and execute business experiments, and determine the effectiveness of different ideas to guide deployment strategies. Your responsibilities will include leading client engagements across various industries and problem statements, developing strategies and programs for regional and global clients, and fostering key relationships with mid-level to senior client stakeholders. You will leverage data science tools such as Test & Learn to provide analytical and technical expertise, driving client success through the adoption and mastery of the platform. In addition to client impact, you will play a crucial role in team collaboration and culture. Leading your team to deliver insightful business recommendations, conducting day-to-day project delivery, and fostering a collaborative environment at all levels will be key aspects of your role. Collaboration with internal stakeholders at Mastercard, including Product and Business Development teams, to scope projects, create client solutions, and contribute to the firm's intellectual capital will also be a part of your responsibilities. To excel in this role, you should possess an undergraduate degree with analytical experience in consulting, analytics, or data science. Experience in coaching and managing teams, as well as managing key client relationships, is essential. Proficiency in business KPIs, financials, and organizational leadership, along with the ability to identify new business opportunities, draft proposals, and analyze large datasets to provide key recommendations, are important qualifications. Strong communication skills in English and the ability to work in a fast-paced, deadline-driven environment are also required. Preferred qualifications for this role include additional experience in data modeling, database management, data visualization tools, or time series analysis. Industry expertise and an MBA or masters degree with relevant specialization are desirable but not mandatory. At Mastercard, information security is of utmost importance. As a part of the organization, you are expected to adhere to security policies, maintain confidentiality and integrity of accessed information, report any security violations, and undergo periodic security training as per Mastercard guidelines.,

The People Services & Technology team at Apple is currently seeking an experienced analytics developer to join our team. As a professional data analytics developer, you will have the opportunity to work alongside a team of experts with varied strengths at Apple. This role offers a chance to be part of a dynamic HR analytics team dedicated to enhancing the employee hire-to-retire experience, enabling individuals at Apple to excel in their work. You will collaborate with a global people analytics team to deliver insights and analytics for various people-related products, including recruitment, candidate care, employee relations, people surveys, talent planning, and other strategic focus areas within the People Services & Technology organization. As a people analytics developer, you will be integral to the team, utilizing data from multiple systems across the Apple HRIS landscape to derive powerful insights for leadership and develop analytical products that enhance the employee experience at Apple. Your responsibilities will include designing, developing, and deploying reports, analytics, and dashboards for the Source-to-Hire-to-Retire cycle to support data-driven decision-making. You will collaborate with business partners, regional coordinators, and leaders to identify reporting requirements, use tools like Tableau to create dashboards and reports, and re-model database architecture to meet business needs. Additionally, you will maintain existing analytics products, ensure successful delivery of new features, and enhance the reporting ecosystem for improvement, simplification, standardization, and security while adhering to Apple Data Compliance and Security standards. Minimum Qualifications: - Bachelor's degree or equivalent experience in Computer Science, Information Management Systems, Data Science, or related field - 6+ years of experience in developing and maintaining reports and analytics using analytical reporting tools with a focus on Tableau - Proficiency in data visualization and charting tools to generate dashboards for data insights Preferred Qualifications: - Technical expertise in advanced analytics techniques, SQL development, data visualization, and statistical analysis - Familiarity with HR analytics and reporting tools for measuring HR performance and employee satisfaction - Strong data engineering skills, including expertise in SQL and knowledge of Snowflake, MySQL, and Postgres databases - Ability to translate high-level business requirements into tangible prototypes and drive discussions for optimal solutions - Proactive approach to task assessment, priority setting, and resolution - Comfortable managing multiple priorities and setting customer expectations - Influence technology direction to enhance toolset and skills - Effective communication with partner teams, managers, and leadership - Foster a positive, open culture and exhibit Apple values of inclusion, trust, and respect - Certifications in Data Science, Reporting & Analytics tools - Knowledge of advanced data processing techniques using Python libraries such as Numpy & Pandas and data science libraries for statistical analysis If you meet the qualifications and are excited about this opportunity, please submit your CV for consideration.,

We are looking for an Optimization Specialist who will be responsible for developing and deploying advanced analytical solutions leveraging mathematical optimization techniques. As an Optimization Specialist, you will have a crucial role in shaping the future of manufacturing operations by designing, developing, and deploying innovative scheduling solutions to optimize complex business processes. The ideal candidate for this position will excel in formulating and solving various optimization problems such as LP, MILP, combinatorial optimization, and scheduling. You should be adept at applying innovative algorithms to achieve optimal solutions. In this role, you will be working with a technical environment that includes language Python, frameworks like COIN-OR, PyTorch, NumPy, SciPy, Pyomo, and Django, application architecture that is scalable, resilient, reactive, event-driven, and secure microservices architecture, and cloud services provided by AWS. Your responsibilities will include designing, developing, and implementing advanced mathematical optimization models and solvers to address complex business challenges across various domains. You will identify and model optimization problems in different manufacturing businesses, design and implement robust optimization algorithms, evaluate and select appropriate solvers, and develop machine learning models to support data-driven decision-making. To qualify for this position, you should have 1-3 years of experience in Operations Research and Python programming, a Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field, experience in building optimization models from scratch, knowledge of constraint programming, and proficiency in statistical analysis tools such as Python. Strong problem-solving abilities, creativity, and effective communication skills are essential. Join our team at Techtinium, where we have a passion for innovative products and a commitment to delivering superior software solutions. We value our team members and provide a positive, collaborative environment where your skills will be honed across the software development lifecycle. If you are ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We are eager to welcome you to our team!,

As a Senior Engineer, Signal Integrity at Micron Technology, you will be part of the inclusive culture that drives the innovation of memory and storage solutions. Your role within the Signal Integrity Research and Development (SI R&D) group will involve supporting various product developments, including DRAM, LPDRAM, NAND, CXL, LPCAMM, DIMM modules, and SSDs across different business sectors. Your responsibilities will include analysis of end-to-end systems solutions, circuit level IO and Power Distribution, integrated circuit packages, printed circuit boards, and measurements to ensure optimal Signal Integrity (SI) and power integrity (PI) performance for Micron's memory solutions. Working within the Signal Integrity team, you will be tasked with various aspects of SI and PI for high-speed interfaces, including modeling at silicon, package, and board levels, time and frequency domain analysis, electrical performance evaluation, and correlation to measurements for different products. You will collaborate with global teams for the development and optimization of methodologies, represent the SI R&D team in cross-functional groups, and integrate with various departments to ensure overall product performance. Successful candidates for this position will possess a Bachelor's or Master's degree in Electrical/Electronics Engineering with 4-8 years of experience. You should have a strong background in SI/PI/EMI theory and application, modeling, analysis, simulation, and a deep understanding of electromagnetic and transmission line theory. Experience with E.M. field solvers, simulation tools, and lab equipment is required. Additionally, familiarity with statistical analysis tools and experience in high-speed interface design and analysis are beneficial. The ideal candidate will be proactive in identifying gaps and opportunities, collaborate effectively with global teams and customers, and communicate complex issues and solutions clearly in both written and verbal formats. If you are ambitious, possess strong problem-solving skills, and enjoy taking ownership of projects, this role at Micron Technology may be the perfect fit for you. Micron Technology, Inc. is a leading industry player in memory and storage solutions, committed to transforming how information enriches life for all. With a focus on technology leadership and operational excellence, Micron delivers high-performance DRAM, NAND, and NOR memory and storage products that power innovations in artificial intelligence and 5G applications. For more information about Micron Technology and potential career opportunities, please visit micron.com/careers. If you require assistance during the application process or need reasonable accommodations, please contact hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and adheres to all applicable labor laws and standards.,

At PwC, our team in managed services focuses on providing outsourced solutions and supporting clients across a variety of functions. We help organizations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. Our team is skilled in project management, technology, and process optimization to deliver high-quality services to our clients. Those in managed service management and strategy at PwC concentrate on transitioning and running services, managing delivery teams, programs, commercials, performance, and delivery risk. Your role will involve continuous improvement and optimization of managed services processes, tools, and services. As an Associate, you will work as part of a team of problem solvers, assisting in solving complex business issues from strategy to execution by utilizing Data, Analytics & Insights Skills. Your responsibilities at this management level include using feedback and reflection to develop self-awareness, demonstrating critical thinking, mentoring junior resources, reviewing ticket quality and deliverables, adhering to SLAs, and upholding the firm's code of ethics. You will also be involved in status reporting for projects, incident management, change management, problem management, and demonstrating leadership capabilities by working directly with clients and leading engagements. Required Skills: - Primary Skills: SAS/R/Python for Statistical Data Processing; SAS/SQL for Data Handling - Secondary Skills: Power BI, Advanced Excel, Excel Macro - Minimum 3 years of hands-on experience in building advanced Data Analytics - Extensive experience in developing scalable, repeatable, and secure data structures and pipelines - Strong communication, problem-solving, quantitative, and analytical abilities - Experience in delivering Managed Data and Analytics programs - Excellent SQL querying skills and competency in Excel Nice to Have: - Certifications in SAS and other BI tools is an added advantage Managed Services - Data, Analytics & Insights: At PwC, we focus on working with clients to combine the power of technology and human expertise to create simple yet powerful solutions. Within our Managed Services platform, we deliver integrated services and solutions grounded in industry experience and powered by talent. Our team provides scalable solutions that add greater value to our clients through technology and human-enabled experiences. With PwC's Managed Services, clients can focus on optimizing operations and accelerating outcomes while we provide world-class business and technology capabilities to drive sustained client outcomes. Our Data, Analytics & Insights Managed Service team empowers clients to navigate and capture the value of their data, analytics, insights, and cloud portfolio efficiently and cost-effectively. In summary, as a member of our Data, Analytics & Insights Managed Service team, you will work in a high-paced environment on critical Application Evolution Service offerings, help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level engagements. You will play a crucial role in supporting customer engagements and contributing to the team's success.,

At PwC, the focus of individuals in data and analytics engineering is on utilizing advanced technologies and techniques to design and develop robust data solutions for clients. You will be instrumental in the transformation of raw data into actionable insights, facilitating informed decision-making and fostering business growth. As a member of the data science and machine learning engineering team at PwC, your primary responsibility will be to utilize advanced analytics and machine learning techniques to extract insights from extensive datasets, thereby driving data-driven decision-making. Your tasks will include developing predictive models, conducting statistical analysis, and creating data visualizations to address complex business challenges. Your role will be essential in the organization and maintenance of proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for both clients and the firm. You will collaborate closely with industry leaders and various cross-functional Health Industries advisory, tax, and assurance professional teams to generate high-impact, commercially relevant insights. These insights will be integrated into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement efforts. Preferred Knowledge And Skills: You are expected to demonstrate in-depth abilities and a proven track record of successfully managing initiatives aimed at identifying and addressing client needs. Some of the key responsibilities include: - Contributing to the identification of cutting-edge healthcare data sources that differentiate the firm from competitors and enhance value for clients. - Designing and executing experiments to measure the effectiveness of healthcare initiatives and drive continuous improvement. - Collaborating with the US team, healthcare business stakeholders, and client teams to translate analytical findings into actionable recommendations and compelling narratives supporting decision-making. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to facilitate self-service analytics, stakeholder engagement, and regulatory reporting. - Staying informed about industry trends, patient and provider behavior patterns, and emerging technologies influencing the healthcare sector. - Managing high-performing data science and commercial analytics teams with deep healthcare domain knowledge. - Demonstrating proficiency in SQL and Alteryx, as well as Python and/or R for healthcare data manipulation, modeling, and visualization. - Applying machine learning or statistical techniques to real-world healthcare challenges, such as cost forecasting, population health management, or precision medicine. - Possessing a solid understanding of key healthcare metrics and experience with healthcare datasets from various sources. - Knowledge of geospatial or time-series analysis in a healthcare context, such as site-of-care optimization and treatment seasonality. - Previous involvement in pricing strategy, access and reimbursement modeling, value-based care analytics, or health equity assessment. In summary, as a member of the data and analytics engineering team at PwC, you will play a vital role in leveraging advanced technologies to develop data solutions, extract insights, and drive data-driven decision-making in the healthcare sector. Your contributions will be crucial in addressing complex business challenges and providing strategic support to clients and the firm.,

Senior Engineer Date: 15 Jul 2025 Location: Gurgaon, Haryana, IN Company: Luminous Conduct Root Cause Analysis (RCA): Investigate failures in products, systems, or processes to identify their root causes using methodologies such as Failure Mode and Effects Analysis (FMEA) and other analytical techniques Collaborate with Teams: Work closely with design, manufacturing, and quality teams to implement corrective actions and preventive measures based on findings from analysis Document Findings: Create comprehensive reports that detail analysis results, methodologies, and recommendations for improvements. Present findings to stakeholders Participate in Training: Conduct training sessions to promote understanding of RCA methodologies and help develop the skills of team members Data Analysis: Utilize statistical analysis tools and software to analyze failure data and trends to facilitate continuous improvement efforts Conduct detailed failure analysis investigations on products or equipment Develop and implement plans for addressing root causes of failures Create reports and presentations for internal and external stakeholders Collaborate with cross-functional teams to identify and resolve failure trends Perform risk assessments to prevent future failures Work with suppliers to improve product quality

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to work on cutting-edge projects within the Silicon Engineering team. Your primary responsibility will involve validating building blocks in FPGA on board level to ensure functionality and performance align with the design intent. This will include various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, and I/O components. In this role, you will develop validation and characterization plans for specific IPs, bench hardware, and software. You will also be responsible for creating test logic RTL to execute validation and characterization tests effectively. Additionally, you will play a key role in driving new silicon product bring-up, validation, and debugging processes to assess IP functionality and performance, ultimately contributing to data sheet preparation. You will collaborate closely with design, verification, manufacturing, test, quality, and marketing teams throughout the product lifecycle, from Silicon arrival to product release. Furthermore, you will provide support to address customer issues post-product release, demonstrating strong written and verbal communication skills and the ability to work effectively in a cross-functional environment. The ideal candidate for this role should possess an Electrical Engineering degree with a strong passion for pursuing a career in Silicon Design Validation. You should have at least 2 years of experience and a solid understanding of High-Speed Serdes Interface characterization, including protocol compliance testing for interfaces like PCIe, Ethernet, SDI, CoaXpress, JESD204, MIPI D-PHY, MIPI CSI/DSI-2, USB, DisplayPort, and HDMI. Moreover, you should have knowledge in high-speed board design, signal integrity evaluation/debugging, Verilog/VHDL, FPGA development tools, and test automation using programming languages like Python and Perl. Familiarity with statistical analysis concepts, tools such as JMP and R, and bench equipment for device characterization will be beneficial. If you are a self-motivated individual with strong problem-solving and critical thinking skills, eager to work in a collaborative and challenging environment, then this role at Lattice may be the perfect opportunity for you to grow and excel in the field of Silicon Design Validation Engineering.,

As the Health, Safety, Security and Environmental (HSSE) Manager at our company, you will play a crucial role in developing and implementing strategic HSSE programs that align with our vision and growth initiatives. Your responsibilities will include leading the Quality, Health, Safety, Security, and Environment functions, integrating programs throughout the organization, and fostering a culture of safety and environmental awareness. You will be expected to identify, assess, and mitigate HSSE risks across the business, establish KPIs and objectives for teams, and monitor performance to drive improvement opportunities. Your role will also involve managing crisis management plans, overseeing HSSE document control, ensuring legal and regulatory compliance, and serving as the primary point of contact for HSSE matters within the company. In addition, you will lead investigations into incidents and near misses, conduct regular inspections of working areas, and provide guidance and support to staff engaged in onshore and offshore projects. Your personal duties will include ensuring all employees and contractors are inducted into the Company HSSE Management System, providing internal training on HSSE issues, and evaluating the performance of assigned staff. Furthermore, you will be responsible for maintaining the filing of Management System documents, coordinating external certification audits, preparing reports on HSSE performance, and providing guidance and support for staff preparing proposal and project documents. You will also have specific additional duties related to maintaining consistent business style, assisting in internal organization improvement, and representing the Company in regard to IMCA membership. To be successful in this role, you should have a minimum of 8-15 years of experience, with at least 5 years in people management. You should possess strong interpersonal skills, the ability to work both independently and collaboratively, and a broad knowledge of Quality and Safety Management Systems. Formal qualifications in Safety disciplines and recognized Internal/Lead Auditor certifications are also required. At our company, Fugro, we offer a positive work environment, challenging projects, and opportunities for professional development. We value diversity, equity, and inclusion, and believe that fostering a sense of belonging and acceptance among our team members is essential to achieving our purpose of creating a safe and livable world. As the HSSE Manager, your commitment to safety, environmental protection, and compliance will be critical in ensuring the well-being of our employees and the success of our operations. We encourage you to bring your energy, enthusiasm, and expertise to our team and contribute to our mission of being the world's leading Geo-data specialist.,

You will be responsible for contributing to the reliability, scientific quality, and optimization of project support throughout the entire process from target identification to process development. This will involve performing statistical analyses of data generated in the laboratories using R and potentially other programming languages to generate statistical reports. Additionally, you will play a key role in the development and maintenance of statistical end-user tools. Your expertise will be utilized in representing statistics within various scientific or technology working groups and cross-functional initiatives. To excel in this role, you should possess a strong background in non-clinical statistics as applied to biopharmaceutical development. Your proven experience in industrial statistics, including descriptive and inferential statistics, statistical process control, design of experiments, multivariate data analysis (such as PCA, PLS, and related methods), and statistical modeling and simulation will be crucial. A sound understanding of statistical concepts and techniques, such as predictive modeling and repeated measure ANOVA, is essential. Additionally, familiarity with pharmaceutical research and development, particularly in in-vitro testing, is desirable. Knowledge of CMC regulatory guidelines from organizations such as EMA, FDA, and ICH Quality, as well as QbD principles, will be valuable in this role. Your ability to prepare statistical analyses for regulatory dossiers and ensure compliance with relevant guidelines will be pivotal to the success of the projects you are involved in.,

The ideal candidate for this position should possess a Diploma / B.E. / B.Tech in Electrical Engineering with 2 to 3 years of experience in the Transformer & Switchgear industry. You should have expertise in ERDA testing (electrical), third party inspection, quality control methodologies, statistical analysis, problem-solving, process improvement, root cause analysis, ISO standards, and audit procedures. Attention to detail, strong communication skills, and proficiency with quality management software are essential for this role. If you meet the qualifications and have the necessary experience, please apply for this Full-time position located in Makarpura, Vadodara. The salary offered for this role is between 2.50 to 3.00 Lacks per annum. Benefits for this position include Provident Fund and a performance bonus. The work schedule is during the day shift and the work location is in person. To apply, please contact us at 9974702332 or visit https://crownhrservices.com/job-opening.,

As a Managing Consultant in Business Experimentation at Mastercard's Advisors & Consulting Services group, you will play a key role in advising executives on business decisions using our industry-leading predictive analytics SaaS platform, Test & Learn. Your primary responsibility will be to work with clients to identify key priorities, design and conduct business experiments, and determine the effectiveness of various ideas to guide deployment strategies. In this role, you will lead client engagements across different industries, developing strategies and programs for regional and global clients by harnessing data science tools such as Test & Learn. You will be expected to cultivate strong relationships with mid-level to senior client stakeholders, assess client agendas, internal cultures, and readiness for change independently. Your expertise in analytics and technical subjects will be crucial in driving client success through the adoption and competency of Test & Learn. As a team leader, you will guide your team towards generating insightful business recommendations using Test & Learn, while also enhancing their skills and responsibilities. Collaboration with internal stakeholders at Mastercard is essential to scope projects, devise client solutions, and enhance the organization's intellectual capital. Additionally, you will be tasked with providing training, coaching, and mentorship to junior consultants to foster their professional growth. To qualify for this role, you should hold an undergraduate degree with analytical experience in consulting, analytics, or data science. Previous experience in coaching and managing teams, handling key client relationships, and understanding business KPIs and financials is required. Proficiency in analytical skills, problem-solving abilities, and proficiency in tools like Word, Excel, and PowerPoint are necessary. Effective communication in English and local office language (if applicable) is a must, along with eligibility to work in the country of application and travel as required. Preferred qualifications include additional data and analytics experience, expertise in data modeling and database management, visualization tools, or time series analysis. Prior experience in creating innovative solutions or possessing relevant industry expertise would be beneficial. An MBA or master's degree with specialization is preferred but not mandatory. At Mastercard, we prioritize corporate security responsibility. All employees are expected to adhere to security policies, maintain information confidentiality and integrity, report any security breaches, and participate in mandatory security training to mitigate risks associated with accessing Mastercard assets, information, and networks.,

About Corporate Real Estate Services Corporate Real Estate Services (CRES) looks into the leasing and approval for the arrangement of the Facilities Managerial aspects as well as coordinating and provisioning for new sites and Branches. It also handles New Acquisitions and Contract Management for new Premises. About the Role The Upkeep & Maintenance Team looks into the upkeep functions for the CRES Department. The Upkeep & Maintenance division of CRES is also responsible for upkeep & maintenance of branch/offices, especially critical equipments in these branches /offices in allocated circle/s so as to ensure that operations are not affected. The Role involves extensive travelling and simultaneously co-ordination of work during travelling Key Responsibilities Ensure that upkeep maintenance activities at branches/offices are carried out by facility vendors in terms of the contract agreed with them. Branches/offices should be clean and well maintained. Ensure timely Resolution of infra related complaints / issues logged by the Branches/offices in complaint management software Responsible for selection of premise for new branch/offices, as and when assigned. Co-ordinate for relocation of branch/office premise in the allocated Circle/s Manage departmental budgets for electricity, property taxes and repairs and maintenance Contract and coordinate the work of vendors Obtain quotes for repairs and maintenance works and seek financial approvals. Should be able to analyse the rates shared by vendors. Monitor electricity consumption of branches/offices and drive energy saving projects being implemented by the Bank at branches/offices. Drive other cost savings initiatives Ensure compliance of AMC terms for preventive maintenance & allied issues. Obtain necessary financial approvals and co-ordinate with the Finance & Accounts department for release of payments to the vendors Qualifications Graduate with Experience in Upkeep and Maintenance Activities Preferably from Admin/ Technical Background Experience in handling property sourcing and legal clearance for all properties in terms of relocation and or new Setup Role Proficiencies Knowledge of the Vendor Management Process Knowledge of the AMC/ Warranty Vendorship Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to work as a part of team and contribute towards team goals Ability to manage multiple tasks/projects and deadlines simultaneously Ability to conceptualize and implement competent marketing strategies with a view to penetrate new accounts #ComeAsYouAre "We are dil se open. Women, LGBTQIA+ and PwD candidates of all ages are encouraged to apply"

About Bharat Banking: Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the Role: The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities: Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications: Optimal qualification for success on the job is: Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies: For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill #ComeAsYouAre "We are dil se open. Women, LGBTQIA+ and PwD candidates of all ages are encouraged to apply"

About Bharat Banking: Bharat Banking is a new Department which has been set up to drive different business that the Bank does in Semi Urban and rural markets. The department is expected to drive business outcomes by focusing on partnerships, new products, innovation, reimagining customer journeys and driving / creating new channel. About the >Role: The Relationship Manager will be responsible for nurturing client relationships through continuous client engagements and risk profiling. The RM will be responsible for identification of potential customers and providing them customized solutions as per their requirements. The center of all client engagements will be to ensure superior customer experience. Key Responsibilities: Develop and maintain business relationships with select group of customers through individualized customer service Handle customers queries and provide superior service to the mapped customers Ensure timely delivery of customers enquiries and instructions, whilst ensuring that the Bank s delivery standards in achieving total customer satisfaction are met Deepen the existing relationships by cross selling the Banks products and services/ third party products Achieve the New To Bank, cross-sell and portfolio retention targets as assigned by the organization Responsible for portfolio irregularities, management (Renewals / Pending Renewals /Stock Statement / Insurances/Other compliances) and portfolio achievement basis delinquency numbers Ensure achievement of month end enhancement disbursements Qualifications: Optimal qualification for success on the job is: Graduate/ MBA (Marketing) preferred 2 - 5 years of experience in the BFSI sector Role Proficiencies: For successful execution of the job, a candidate should possess the following: Knowledge of industry, technology, marketing, and product trends Knowledge of regulatory guidelines and norms Good communication (both verbal and written) skill in both English and the local language Ability to handle pressure and meet deadlines Strong Excel and database manipulation skills, financial and statistical analysis skill #ComeAsYouAre "We are dil se open. Women, LGBTQIA+ and PwD candidates of all ages are encouraged to apply"