529 Statistical Analysis Jobs - Page 12

As a Data Science Team Lead, you will be responsible for leading a team of data scientists, planning data projects, and building analytic systems and predictive models. Your role will involve managing a team of data scientists and machine learning engineers, as well as engaging in pre-sales activities and building proposals. You will need to apply your strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data and creating reports, and aligning data projects with organizational goals. You will need to understand business problems and design end-to-end analytics use cases, develop complex models and algorithms to drive innovation, conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance, collaborate with model developers to implement and deploy scalable solutions, and provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models including Multiple and Multivariate, experience in Classification models including Ensemble techniques, experience in Unsupervised models including K-Means, DBSCAN, LOF, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, Markov, strong real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large data sets, simulation/optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.), excellent written and verbal communication skills along with a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced start-up environment, and an additional advantage of having experience in semi-structured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional programming skills in C, C++, Java, or .Net would be beneficial.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique opportunity allows you to be a part of the Data Analyst team, collaborating closely with the Business. As a Senior Process Intelligence and Data Analytics Specialist in our COS Transformation team, you play a crucial role in leveraging digital technology to drive transformation analytics. Your expertise in data analytics, process mining, and data science is instrumental in managing programs from inception to completion. Your analytical mindset is pivotal in identifying process improvement opportunities and leading continuous enhancements in partnership with the business. You will: - Lead Digital Process Discovery projects, overseeing them from start to finish, including business casing, scoping, and delivery. - Utilize process mining techniques to analyze process behavior and pinpoint areas for enhancement. - Implement real-time process monitoring through streaming data to optimize process efficiency. - Conduct data-driven root cause analysis to tackle process conformance issues and inefficiencies. - Manage projects through scoping, data collection, processing, modeling, implementation, and evaluation. - Collaborate with the U.S. Process Intelligence team to enable advanced process analytics, ensuring continual outcomes through a "follow the sun" approach. - Work with leadership to create innovative Process Intelligence solutions and collaborate with the business to define use cases and foster new ideas. Key Qualifications, capabilities, and skills: - Bachelor's, Master's, or PhD in process mining, computer science, statistics, or a related field. - 9+ years of extensive experience in statistical analysis, process mining, and process analysis. - Proficiency in Python and familiarity with relevant libraries (e.g., PM4PY) and frameworks for predictive process mining and monitoring. - Proven track record of providing data analytics for senior management and translating complex data insights into actionable recommendations. - Experience with data pipelining and data visualization tools like Alteryx and Tableau. - Strong ability to collaborate with various internal teams, particularly business and technology, to drive results and effectively communicate technical concepts to non-technical stakeholders. - Excellent verbal, written communication, and presentation skills, with the capability to articulate and convey a compelling narrative.,

Additional Locations: N/A Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we ll give you the opportunity to harness all that s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we ll help you in advancing your skills and career. Here, you ll be supported in progressing - whatever your ambitions. The mission of our Sustaining R&D team is to protect Endoscopy revenue through our guiding principles of quality, compliance, business continuity and cost reduction. As a member of our team, the R&D Manager II will manage a team of engineers primarily supporting the Endoscopy products made at Boston Scientific s Coyol plant in Costa Rica. He/she will build and lead a high-performing team of engineers located in Coyol, Costa Rica, and execute sustaining projects with cross-functional team members located in Coyol and Marlborough. Your task will be to guide these R&D engineers through continued growth of our product and projects portfolio, in day-to-day technical and business-level decision making, and in hiring and developing top talent. The ideal candidate is expected to have proven the ability to lead and build trust with direct reports, peers and business stakeholders. The candidate demonstrates strong leadership and decision-making skills within a cross-functional core team. Your responsibilities include: Assists in functional deliverables as needed and ensures technical excellence for Sustaining R&D. Provides guidance and approval regarding technical strategies and approaches. Assists in identifying new opportunities to drive Value Improvement Projects and Complaint Reduction efforts. Provides guidance and training to staff, assists subordinates in attaining career goals, motivates individuals to achieve results, and recruits and maintains a high-quality staff. Assists in and/or completes the development of budgets and monitors spending for the Sustaining efforts in Coyol. Assists in identifying and developing department tools and systems. Assists in and/or determines appropriate staff levels, schedules and resources. Works with project managers to understand priorities and plans resource and time allocation accordingly. Collaboratively determines project staff assignments and schedules work to meet completion dates and R&D deliverables. Maintains and enhances cross-functional team relationships. Works cross-functionally in identifying and resolving technical issues. Monitors and evaluates project and department progress and results. Leads and mentors a group or team of employees in the achievement of organizational goals. Guides, coaches, and develops direct reports, and drives best practices throughout the organization. Fosters a diverse workplace that enables all participants to contribute to their full potential in pursuit of organizational objectives. May direct and control the activities and budget of one or more functional areas, divisions, product groups, projects/programs and/or operations. What we re looking for in you: 5+ years technical leadership roles, preferably in medical device industry 3-5 years experience in direct people leadership Bachelors required. Preferably in Mechanical Engineering or Biomedical Engineering degree A positive attitude, innovative and creative thinker. Ability to transparently and concisely communicate technical issues and risks across all levels of the organization Experience developing a company culture of knowledge driven product development & engineering excellence Working knowledge of complex mechanical design principles and FDA/BSI regulated medical device design controls Familiarity with statistical analysis and data driven decision making. Understanding of IEC60601 requirements/constraints for mechanical system design is preferred Track record of strong cross-functional collaboration, influence, and project management enabling highly effective project teams Practiced problem solver, proficient in problem solving methodologies (i.e. Six Sigma, DOE, etc.) Passion to learn new technologies and find new solutions Passion for understanding and solving problems for end users and for team member subordinate Takes initiative and acts quickly to drive solutions Solid English/Spanish skills Travel - 15% Requisition ID: 606852 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn t just business, it s personal. And if you re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

Associate Breeder - Rice Collection, cataloguing and conservation of germplasm Development of superior lines with traits of commercial importance Work closely with the Technology Deployment Team for Trait Introgression for commercially important traits using Marker Assisted Selections ( MAS) Development of superior hybrids suitable for different market segments Coordinate with testing teams for conduct of different stage trials in the targeted environments Data management for LDB program and trials Statistical analysis for decision making for product advancements Coordinate with all stakeholders for commercialization of hybrids Seed chain management for commercial and pre-commercial hybrids Liasion with National & International Institutions We need someone with at least 5-6 years experience in Rice breeding Qualification : Ph.D / M.Sc(Ag) - Plant Breeding & Genetics or M.Sc (Botany/Biotechnology) with 7-8 years of experience

Junior Breeder - Corn Collection, cataloguing and conservation of germplasm Development of superior lines with traits of commercial importance Work closely with the Technology Deployment Team for Trait Introgression for commercially important traits using Marker Assisted Selections ( MAS) Development of superior hybrids suitable for different market segments Coordinate with testing teams for conduct of different stage trials in the targeted environments Data management for LDB program and trials Statistical analysis for decision making for product advancements Coordinate with all stakeholders for commercialization of hybrids Seed chain management for commercial and pre-commercial hybrids Liasion with National & International Institutions We need someone with at least 5-6 years experience in Corn breeding Qualification : Ph.D / M.Sc(Ag) - Plant Breeding & Genetics or M.Sc (Botany/Biotechnology) with 7-8 years of experience

Company: Mercer Description: Mercer is seeking candidates to join our Remuneration Data Solutions (Career) team based in the Noida office. This is a hybrid role that requires working in the office at least three days a week. Lead Specialist - Survey Administration (D1) What Can You Expect The purpose of this role is to work independently, participate in global initiatives, and perform quantitative and qualitative analyses on client products and internal process improvement projects according to Mercer standards and methodology, ensuring high quality and on-time delivery. Excellent analytical, communication, organizational, and time-management skills are highly valued by our team. We Will Rely on You To: Lead Compensation and Benefits Surveys. Oversee and participate in the delivery of multiple projects throughout the year. Manage project tasks associated with large-scale internal and cross-team projects. Generate custom data analyses and statistical reports. Communicate with internal clients to clarify data questions via Zoom meetings or email. Conduct peer reviews of tasks performed by team members to ensure quality assurance. Deliver training on our processes and provide mentoring to team members. Adhere to all standards and guidelines established for the line of business. Assume ownership of tasks and ensure on-time completion. Prepare documentation and regularly update Standard Operating Procedures (SOPs). Collaborate in discussions to resolve moderate issues (e.g., field or result errors). What You Need to Have: A graduate degree (any field). A minimum of 4 years of experience in survey management. Experience with Compensation & Benefits is essential. Experience in statistical analysis or a related field is preferred. Excellent command of English for effective communication with the team and stakeholders (both verbal and written). Proficiency in MS Office applications (Excel, Word, and PowerPoint). Ability to draw conclusions based on multiple sources of information. What Makes You Stand Out: Extensive experience in compensation and benefits data surveys. Understanding of common organizational structures. Experience in building and delivering technical training. Project management experience. Strong analytical, research, and problem-solving skills, with attention to detail. Mercer , a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh , Guy Carpenter , Mercer and Oliver Wyman . With annual revenue of $23 billion and more than 85,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com , or follow on LinkedIn and X . Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

As a candidate for the position of Equity Research Analyst, you will be responsible for conducting comprehensive research on stocks, sectors, and market trends. Your primary duties will include tracking and monitoring the equity market, analyzing financial statements and earnings reports, and developing detailed investment research reports with actionable recommendations. You will collaborate closely with the fund management team to identify investment opportunities and develop trading strategies based on your research findings. Additionally, you will need to stay updated on new financial tools and technologies to enhance research efficiency and monitor global economic trends that could impact stock prices. To qualify for this role, you should hold a Bachelor's degree in Finance, Economics, Accounting, or a related field, along with a minimum of 2 years of experience in equity research or stock market analysis. Proficiency in MS Excel and statistical analysis is essential, as well as a solid understanding of financial markets, economic indicators, and investment strategies. Professional certifications such as NISM-viii, CFA, or FRM would be advantageous. Strong research, analytical, and problem-solving skills are crucial, along with the ability to work independently and meet deadlines in a fast-paced environment. This position offers various job types including Full-time, Part-time, Permanent, or Internship with a contract length of 24 months. The expected work hours are 14 per week with benefits such as health insurance and the option to work from home. The schedule includes day and morning shifts, and there is a performance bonus available based on your contributions. If you are a highly motivated individual with a technical background and a passion for trading, we welcome your application for this challenging and rewarding opportunity.,

You will be responsible for building and maintaining HR dashboards and metrics to track key HR performance indicators. Collaborate with HR business partners, talent acquisition, compensation and benefits, and other stakeholders to understand their analytical needs, providing customized dashboards and insights. Stay updated with the latest HR analytics trends, tools, and technologies, recommending innovative solutions to enhance HR data analyst capabilities. Provide training and guidance to HR team members on data techniques and tools. Ensure data accuracy, integrity, and security in all HR analytics processes and systems. Present findings, insights, and recommendations to senior management and key stakeholders in a clear and concise manner. Collect, analyze, and interpret HR data from multiple sources, including HRIS systems, employee surveys, performance reviews, and other relevant data sets. Identify trends, patterns, and correlations in HR data to provide insights and recommendations for HR initiatives and strategies. You should have 2-4 years of relevant experience, a Bachelor's degree in human resources, statistics, business administration, or a related field experience preferred, and proven previous Workday experience. Proficiency in statistical analysis, data mining, and data visualization tools (e.g., Workday, Excel, Tableau, Power BI, etc.) is required. Excellent analytical and problem-solving skills are necessary to translate complex data into actionable insights. Effective communication and presentation skills are crucial to convey complex findings to non-technical stakeholders. Ability to work independently, manage multiple projects simultaneously, and meet tight deadlines. Attention to detail and a high level of data accuracy and integrity are essential. You should be a self-starter with the ability to influence, communicate effectively, build strong relationships, and become a trusted advisor and change agent. You are expected to be an experienced Workday superuser with a deep understanding of people analytics and PRISM modules. Ability to transition quickly from big-picture thinking to managing relevant details. Demonstrated desire to challenge the status quo and drive the team towards new ways of thinking and processes. Passion for the restaurant industry and eagerness to learn about restaurant operations. Strong communicator who can collaborate across the enterprise and effectively manage expectations across distributed stakeholders. Maintain flexibility and influence others to do the same.,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. Your responsibilities include analyzing large datasets, discovering patterns and trends, and creating data visualizations to effectively communicate findings to stakeholders. It is essential to have a solid understanding of statistical analysis, proficiency in programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI. Collaboration with cross-functional teams is a key aspect of this role as you design and implement predictive models, evaluate performance, and refine algorithms to enhance accuracy. You will be involved in the development and maintenance of analytics tools, preparing detailed reports, and staying updated with the latest advancements in AI and analytics technologies. Additionally, training team members on data analytics best practices, facilitating workshops, and supporting data-driven decision-making are vital responsibilities. To excel in this position, you must possess a Master's degree in Data Science, Computer Science, Statistics, or a related field, along with proven experience in predictive analytics and machine learning. Hands-on experience with SQL, database management, and big data technologies like Hadoop and Spark is advantageous. Strong problem-solving skills, project management abilities, and effective communication skills for presenting technical concepts are essential. Adaptability to changing priorities, managing multiple projects simultaneously, and familiarity with data cleaning and preprocessing techniques are also required. Overall, as the AI and Predictive Analytics Specialist, you will contribute significantly to the organization's data-driven strategy, foster a culture of continuous improvement through data insights, and support strategic initiatives with data-driven recommendations. Your expertise in data visualization, statistical analysis, machine learning, predictive analytics, data mining, and team collaboration will be instrumental in driving business solutions and enhancing operational efficiency.,

Monitoring of Body Shop production activity.Study of shop quality trends viz. Nova C Nova B, Global Demerit.Kaizens and productivity improvement projects.Corrective and preventive action for internal and external customer complaints.Safety audits and Safety rounds for the shop.Problem solving technique by using 7 QC tools, DOE.Problem solving thru QC story methodology.Ensuring smooth productionizing of new product and applicable quality standards Preferred Industries Automobile Education Qualification Bachelors of Technology; Bachelor of Engineering General Experience If BE 3 to 5 yrs Critical Experience System Generated Core Skills 7 QC Tools Advanced Product Quality Planning (APQP) Analytical Thinking Communication Skills Consumer Focus Failure Mode and Effects Analysis (FMEA) Leadership Skills Microsoft Office People Management Presentation Skills QC Tools SAP Standard Operating Procedure (SOP) Statistical Analysis Team Management Teamwork Process Knowledge - Welding System Generated Secondary Skills

Improve Receipt Quality through improving RIR time, escalation of repetitive issues, suppliers etc.Liaise with Supplier Quality Improvement group by communicating the supplier non conformances and ensure the action plan from SQI. Monitor the effectiveness of the actions taken.Improve DOL performance.Ensure adherence of process and product audits.Monitoring and Improving line rejection and customer line rejection RPH to achieve the Quality targets.Coordinate daily ORC meetings and ensure faster resolution of issues.coordination with manufacturing, supplier Quality, Design for resolution of the issues.Ensure adherence to Quality systems and maintaining the MIS, Ensuring proper data and document control.coordination with other manufacturing plants for horizontal deployment of actions and improvements.Ensuring faster resolution of field issues and External Customer Handling.Act as Customer representative in CFTs like APPAP, PFMEAs, New product, etc.Can identify and apply latest techniques in measurement, statistical analysis and quality assured processes.Can conduct Statistical analysis to aid decision making relating to process improvements.Meet M and M Quality expectations by solving problems / making improvements with the help of advanced statistical tools and drive continual Improvements Preferred Industries Automobile Tractor Manufacturing Education Qualification Bachelor of Engineering; Diploma in Engineering in Mechanical; Diploma in Engineering in Automobile; Bachelor of Engineering in Mechanical; Bachelor of Engineering in Automobile; Diploma in Engineering General Experience 10 to 12 years in Automobile Manufacturing in Quality Assurance or manufacturing Critical Experience System Generated Core Skills 7 QC Tools Analytical Thinking Communication Skills Cost Optimization Creative Thinking Customer Sensitivity Hydraulics Interpersonal Skills ISO 9000 - Quality Management ISO TS 16949 - Quality Management ISO/IEC 17025 Testing & Calibration Measurement System Analysis (MSA) Dimensional Metrology Process Control Plan (PCP) Product Knowledge & Application Statistical Analysis Statistical Process Control (SPC) Product Knowledge - Transmission Service Orientation Quality Control Service Management System Generated Secondary Skills

As an MPA Planner at Vaibhav Global Ltd (VGL), your primary responsibility will be coordinating and optimizing live TV operations by planning events, products, and pricing strategies. You will work towards ensuring alignment with inventory, marketing, and sales targets while analyzing customer behavior, monitoring hourly sales during live broadcasts, and providing actionable insights through data reporting. Collaboration, adaptability, and innovation will be key aspects of your role in supporting seamless operations and driving performance in a dynamic, fast-paced environment. You will assist in the planning and scheduling of events, products, and pricing, ensuring alignment and analysis of inventory and products with warehouse, hosts on the live channel, and the UK TV marketing team. Gathering relevant statistical data, drafting reports on sales numbers, monitoring hourly sales and targets during live telecasting, and studying customer analysis and behavior patterns will also be part of your responsibilities. To excel in this role, you should possess organizational ability, superior written and verbal communication skills, adaptability, responsiveness, sound judgment, active listening skills, research skills, analytical skills, cooperativeness, leadership ability, multitasking skills, innovativeness, supervisory skills, and the ability to work comfortably under pressure. Proficiency in ERP and JMS, strong leadership, communication, and interpersonal skills, as well as the ability to work both independently and as part of a team, are essential for success. Vaibhav Global Ltd (VGL) is committed to sustainable business practices and renewable energy initiatives, with a focus on delivering joy and being the value leader in electronic retailing of jewelry and lifestyle products. The company's mission includes delivering one million meals per day to children in need by FY40 through its one-for-one meal program. VGL values teamwork, honesty, commitment, passion, and a positive attitude among its core values. This full-time position based in Jaipur requires a Bachelor's degree in any field with 0-2 years of experience. The compensation offered is 400,000 INR yearly. If you are seeking a challenging and rewarding opportunity in a fast-paced environment that values innovation and teamwork, this role at Vaibhav Global Ltd (VGL) may be the perfect fit for you.,

You will be responsible for participating in the development and maintenance of regulatory and internal risk models such as IMM, VaR, IRC, CRM, and Regulatory CVA. Your tasks will include theoretical modeling, empirical testing, historical back-testing, statistical analysis of market data, numerical implementations, model documentation, supporting risk applications, and providing analytical assistance to Risk Managers. In addition, you will be managing a local team to ensure smooth integration and strong cross-regional engagement with global teams. Your key accountabilities will involve applying cutting-edge quantitative risk methodologies to enhance Market and Counterparty credit risk monitoring, developing computational methods and mathematical models, researching and implementing quantitative solutions for financial product pricing and risk management, performing computations and assessing numerical implementations, validating pricing models, implementing analytics models within Python library, building optimization tools, defining data requirements, and collaborating effectively with colleagues across different time zones. You must possess strong communication and presentation skills to effectively engage with stakeholders and colleagues. Your decision-making and problem-solving abilities will be crucial in evaluating alternatives, making decisions about the best approach, and achieving consensus. As a quantitative analyst, you will need to be a strong leader, excellent communicator, team player, and creative thinker. Essential qualifications for this role include a Masters degree, PhD, or foreign equivalents in Mathematics, Computer Science, Physics, Statistics, or a related quantitative field, along with 7-10 years of experience in a financial quantitative analyst or financial software developer/engineer role. Desirable skills include experience in counterparty/market risk development, knowledge of financial products, analytic skills, programming skills, and familiarity with VaR-type models, statistics, and pricing models. Your main purpose will be to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics for business decision-making. Collaborating with technology, developing high-performing analytics solutions, implementing models, providing ongoing support, and ensuring compliance with risk management policies are some of the key responsibilities associated with this role. As a Director, you will manage a business function, contribute to strategic initiatives, lead a team, provide expert advice, manage resourcing and budgeting, escalate policy breaches, ensure compliance, and focus on external relationships. Your leadership behaviors will be crucial in creating an environment for colleagues to excel, following the LEAD principles of Listening, Energizing, Aligning, and Developing others. Demonstrating Barclays Values and Mindset will also be expected from all team members.,

As a Silicon Design Validation Engineer at Lattice, you will have the opportunity to be part of a dynamic team working on cutting-edge FPGA projects. This role involves validating building blocks in FPGA on the board level to ensure functionality and performance according to design intent. The FPGA includes various IPs such as SERDES (PMA/PCS), Memory DDR (DDR4, LPDDR4, DDR5, etc.), DPHY, PLL, DSP, Fabric, I/O, among others. In this position, you will learn how to validate one or many building blocks within the FPGA and gain knowledge of the process and methodology required for validating IPs from planning to completion. You will work with advanced equipment, boards, and software/tools while developing validation and characterization plans for specific IPs, bench hardware, and software. You will also create test logic RTL to conduct validation and characterization tests, drive new silicon product bring-up, validation, and debug processes, and analyze data sheet parameters. The ideal candidate for this role is highly motivated to develop a career in Silicon Design Validation Engineering. You will have exposure to various areas including FPGA and its building blocks, IP validation, bench hardware and software development, and more. You will lead and manage teams, possess an electrical engineering degree, have expertise in high-speed Serdes interface characterization, high-speed board design, Verilog/VHDL, FPGA development tools, test automation development, statistical analysis concepts, and bench equipment for device characterization. To excel in this role, you should have strong written and verbal communication skills, be self-motivated, proactive, possess critical thinking skills, and demonstrate good problem-solving and debugging abilities. If you thrive in a fast-paced, results-oriented environment and are looking to contribute to a team-first organization, Lattice may be the perfect fit for you.,

Join a team recognized for leadership, innovation and diversity. Honeywell Technology Solutions is seeking a highly motivated Global HR Analytics & Program Lead to drive HR people analytics, workforce insights & key talent programs across all HTS regions- India, Czech, Poland & Mexico. This role will support global HR initiatives, ensuring data-driven decision-making, process optimization, and strategic workforce planning. The specialist will collaborate with HR leaders across sites, business partners, and stakeholders to drive HTS people priorities and programs leveraging data & analytics. Key Responsibilities HR Analytics & Reporting: - Leverage HR data and analytics to provide insights on workforce trends, employee performance, and engagement. - Create dashboards, reports, and predictive models to support HR decision-making. - Ensure data integrity and compliance with global HR policies and local labor laws. Talent & Workforce Insights - Analyze workforce data to identify trends, risks, and opportunities all people process- workforce planning, attrition, succession health, compensation planning, DEI & Voice of employees, OEF and spans & layers. - Partner with HR teams to forecast future workforce needs and optimize talent strategies. HR Program Management - Develop, implement, and manage global HR programs in following areas including talent development, employee engagement, and workforce planning. - Support the execution of HR transformation projects globally, ensuring alignment with business goals. - Monitor and report on program effectiveness, making recommendations for continuous improvement. HR Systems & Process Optimization - Work with HR technology teams to enhance HRIS systems and analytics tools. - Automate reporting processes to improve efficiency and accuracy. - Ensure alignment of HR systems and processes across multiple regions. Qualifications & Skills - Bachelors or Masters degree in Human Resources, Business Analytics, or a related field. - 4+ years of experience in HR analytics, HR program management, or a similar role in a global environment. - Strong analytical skills with proficiency in data visualization tools (e.g., Power BI, Tableau) and HRIS platforms (e.g., Workday, SAP SuccessFactors). - Experience in statistical analysis, predictive modeling, and HR metrics development. - Ability to work in a fast-paced, matrixed environment across multiple time zones. - Excellent communication and stakeholder management skills. - Strong understanding of global labor laws, compliance, and best HR practices. Additional Information JOB ID: HRD261607 Category: Human Resources Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India Global (ALL),

As a Clinical Quality Assurance professional at WPPL, you will play a crucial role in ensuring the establishment, implementation, and maintenance of processes required for the Quality Management System. Your responsibilities will include reporting on the performance of the quality system, planning and executing clinical activities, and conducting various audits across departments. You will be responsible for reviewing equipment installation, qualification, calibration, and preventive maintenance in the clinical department, ensuring compliance with relevant SOPs and guidelines. Additionally, you will review clinical data, pharmacokinetic analysis, statistical output, and statistical analysis reports to ensure accuracy and adherence to protocols. As part of your role, you will conduct external vendor audits, review raw data of clinical projects, and perform internal study audits to assess compliance with GCP/GLP, protocols, SOPs, and regulatory requirements. You will also review and evaluate change controls, deviations, CAPAs, and conduct facility assessments at clinical and pathology laboratories. Collaborating with the Head-QA, you will support regulatory inspections and audits, review responses to queries, and ensure timely implementation of CAPA actions based on investigative results. Additionally, you will update policies, quality manuals, SOPs, and work documents, providing valuable insights and comments for their approval. Your role will involve monitoring studies at external CROs, conducting meetings with clinical and pathology laboratory departments to update on quality systems, and taking on other responsibilities as assigned. With your M.Sc, M.Pharm, or Ph.D. qualification and 8-10 years of experience in Clinical Quality Assurance for BA/BE studies, you will report to the Associate Director Quality Function. Join us at WPPL and be part of a mission-driven team dedicated to making a positive impact on global healthcare by ensuring quality and compliance in clinical activities and processes.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

ProcDNA is a global consulting firm that specializes in fusing design thinking with cutting-edge technology to develop innovative Commercial Analytics and Technology solutions for clients. With a passionate team of over 200 professionals spread across 7 offices, ProcDNA encourages a collaborative and dynamic work environment. Innovation is at the core of our organization's DNA. As an Associate Engagement Lead at ProcDNA, you will play a key role in leveraging data to solve complex business challenges and deliver tangible results to clients. We are looking for an individual who not only has the necessary expertise but also thrives in a fast-paced global firm setting. Responsibilities for this position include collaborating with clients to model data, analyze healthcare/pharma industry challenges, and develop tailored analytics solutions using tools such as Tableau, SAS, R, and Alteryx. The successful candidate will be expected to have a deep understanding of data processes, work on multiple projects simultaneously, and possess excellent communication skills for effective collaboration. The ideal candidate should hold a bachelor's degree in engineering and have at least 5 years of experience in analytics. Proficiency in statistical analysis, predictive modeling, segmentation, and interpreting large datasets to drive data-driven decisions is essential. Additionally, a thorough understanding of the healthcare/pharma industry, including market trends and regulatory frameworks, is crucial for success in this role. If you are a creative and analytical individual who can work independently with minimal direction, and are passionate about shaping the future with brilliant minds, then this Associate Engagement Lead position at ProcDNA may be the perfect opportunity for you. Join us in our mission to drive innovation and deliver impactful outcomes in the world of Commercial Analytics and Technology.,

As a Front Office Quantitative Risk Manager/Model Owner at DWS, a publicly listed asset management division of Deutsche Bank, you will be responsible for conducting thorough validations of quantitative models, including financial, statistical, and predictive models. Your primary role involves collaborating closely with investment teams to identify model limitations, assumptions, and potential issues. Additionally, you will liaise with the independent model risk management team to ensure effective model validation activities. Your key responsibilities will also include maintaining comprehensive documentation for all models, such as validation reports, policies, and procedures in alignment with regulatory guidelines, internal policies, and industry best practices. It is essential to keep a record of model changes and version control, and assist in the development and implementation of model governance policies and procedures to enhance model risk management practices. Monitoring model performance, contributing to ongoing model surveillance, and reporting on model drift, validation findings, and recommended actions will be integral parts of your role. To excel in this position, you are required to possess a Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Statistics, Economics, Engineering) and have three to five years of relevant experience in risk management, model risk management, model validation, or a related role. An advanced degree (Masters or Ph.D), CFA, FRM, or any industry-relevant certifications will be advantageous. Your strong understanding of financial instruments, mathematical modeling, statistical analysis, and relevant programming languages like Python, C++, R, or Matlab will be essential for success in this role. Additionally, proficiency in valuation methods, capital markets, portfolio theory, risk, and return attribution models is expected. As part of the DWS team, you will benefit from best-in-class leave policies, gender-neutral parental leaves, childcare assistance benefits, sponsorship for industry-relevant certifications and education, Employee Assistance Program, comprehensive insurance coverage, health screening, training, coaching, and a culture of continuous learning to support your career growth and development. Embrace the opportunity to work collaboratively, think commercially, and excel in a positive, fair, and inclusive work environment at DWS, where together, we strive for excellence every day.,

The role involves conducting performance analysis of solar PV plants in operation, including analyzing meteorological files for simulation software, comparing energy production data, downtime analyses, and statistical analysis of long-term energy yields. Additionally, the role includes energy and capacity optimization of hybrid projects, integration with storage, and scientific computing, simulation, and optimization in renewable energy systems such as solar, wind, and BESS systems. The responsibilities also entail modeling, simulating, and optimizing PV, BESS, and wind farms, as well as conducting detailed techno-commercial assessments of cells, batteries, racks, PV modules, inverters, converters, data loggers, and SCADA. Qualitative and quantitative data analysis using Python and Excel is also a key part of the role, along with performance analysis of individual components such as arrays, inverters, converters, cells, battery racks, and energy meter data. The position involves technology and design optimization of PV plants using analytical methods, as well as developing tools and scripts for task automation using Python, VBA, etc. Reviewing initial PV system concepts for plant layout, supporting due diligence for solar PV projects, and maintaining awareness of new product technology are also essential duties. Additionally, the role includes supporting solar PV business development activities and conducting site visits in India and abroad.,

You will be responsible for maintaining the strong financial standings of the company as a Finance Manager. Your role will involve analyzing financial data, developing profit-focused action plans, trend forecasting, and variance monitoring. You should be proficient in data visualization and modeling to contribute to the company's continued success. In this role, you will monitor financial status by comparing data sets with projections and improve fiscal health through thorough analyses of financial data. You will develop forecast models based on comparative performance metrics and support decision-making by creating innovative strategies for cost reduction. Additionally, you will establish and guide restructured cost analysis processes and collaborate with the VP of finance on various planning exercises. Your responsibilities will include assisting in the monthly close process, developing and maintaining confidential databases, coordinating requirements for efficient automated accounting, and upholding standards through consolidation of quarterly reporting packages. You will also be expected to advance your personal skill sets through networking, workshops, and advanced education opportunities. To qualify for this role, you should have proven experience in the financial sector and be a CA Inter/M.Com/MBA. Proficiency in financial software application packages like Tally, ERP, and others is required, along with outstanding communication, reporting, and presentation skills. Preferred qualifications include sound knowledge of managing finance and accounts, complete compliance of the organization regarding GST, TDS, Income Tax, FDI Investment, M&A, preparing MIS and budgeted reports, and coordinating with auditors for the closure of books of accounts. This is a full-time position with benefits such as a flexible schedule, health insurance, and provident fund. The work schedule is day shift with performance and quarterly bonuses. Relocation to Bengaluru, Karnataka, is required, and 100% willingness to travel is essential. A Master's degree is preferred, and a minimum of 8 years of experience in finance is required. Proficiency in English is a must for this role.,

At Eccentric Engine, you have the opportunity to co-build Metaverse alongside some of the best minds of our times. Since 2016, we have been deeply involved in the Virtualization of Automotive Retail, leading Automotive Brands worldwide to harness the potential of Virtual Interactions. Join us as a Dealership Support at Eccentric Engine where your primary responsibility will be the deployment of our product. You will play a crucial role in organizing and interpreting statistical information to generate insights that facilitate informed decision-making. Eccentric's Mission revolves around creating a Showroom-like experience in a virtual world for vehicle buyers. This includes enabling customers to take a 3D walkthrough of all available models/variants/trims, customize their vehicle to visualize its appearance and cost, and engage in Virtual Consultations with sales agents within the virtual world, often referred to as the Metaverse. As part of your role, you will be expected to: - Deploy our product to the vendor and coordinate with the technical team for seamless deployment. - Manage client relationships effectively and ensure satisfaction. - Demonstrate a sound understanding of product deployment processes and possess knowledge of OEM. - Conduct bi-monthly visits to different showrooms where our product is deployed in your vicinity. - Analyze the usage data of our product to derive actionable insights. - Address and resolve any issues that may arise at showrooms where our product is deployed in coordination with the team. We are looking for candidates who exhibit the following qualities: - Proficient communication skills, both verbal and written. - Strong reporting abilities to present insights concisely using tools like PPT or Canva. - Prior experience in Client Management. - A minimum of 2 years of experience working with OEM. - Ideally, a background in sales within the automotive industry. If you are passionate about revolutionizing the automotive retail experience through virtualization and meet the above criteria, we would love to have you join our team at Eccentric Engine.,

As a Technical Solutions Consultant, you will be the primary point of contact for our largest advertising clients and product partners, overseeing the technical aspect of our relationship. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to implement cutting-edge technologies for external clients. Your responsibilities will range from conceptual design and testing to data analysis and support, ensuring the technical execution and business operations of Google's online advertising platforms and product partnerships. Your role will involve striking a balance between business requirements and technical constraints, developing innovative solutions, and serving as a trusted consultant to your collaborators. You will lead the development of tools and automation products, manage the technical aspects of Google's partnerships, drive product strategy, and prioritize projects and resources effectively. The Google Pixel team is dedicated to enhancing the mobile experience by designing and delivering world-class products. By leveraging advanced designs, technologies, and experiences in consumer electronics, the team aims to shape the future of Pixel devices and services. This involves integrating Google's artificial intelligence, software, and hardware to create transformative experiences for users globally. Your key responsibilities will include: - Developing Extract, Transform, and Load (ETL) processes to automate data collection and reporting tasks using various large-scale distributed data systems. - Creating and reviewing technical and end-user documentation, such as requirements and design documents, data standards, and policies. - Designing, optimizing, and managing data warehouses and reporting systems. - Leading a team of Data Engineers and Business Intelligence Engineers, collaborating closely with Software Engineering teams to design and acquire log-level data. - Designing dashboards, optimizing statistical models, and presenting accurate findings to stakeholders. Your background should ideally include a Bachelor's degree in Science, Technology, Engineering, Mathematics, or related fields, along with at least 9 years of experience in data engineering or data sciences. A Master's degree and proficiency in programming languages like Python or Java would be advantageous. Experience in source control systems, statistical analysis, and modeling will also be beneficial for this role. Additionally, your ability to drive the development of business solutions and infrastructure, translate analysis results into actionable insights, and prioritize tasks effectively will be critical to your success in this position.,

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people whove worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. What you'll get to do at Level AI (and more as we grow together) Drive product impact by proposing and conducting quantitative research into key user behaviors and trends Conduct in-depth analysis and build statistical models to identify trends and key drivers that inform important decisions made by the user. Data analysis to identify common trends Based on analysis, propose enhancements for automation pipelines. Review the output of AI models to improve performance by identifying common usage gaps Optimise AI model performance through effective prompt engineering techniques. Establish automated model performance improvement pipelines through prompt engineering. Responsible for generating, testing, evaluating, and curating high-quality, diverse, and representative data (including synthetic) for AI model development, training, and performance. Analyse model performance by diving into user feedback data and product usage reports. Suggest ways to improve product usage by specifically targeting each group of users and also feature. Create a business analysis report weekly. Define and monitor key metrics; investigate changes in metrics. Driven to continuously learn and adapt. Wed love to explore more about you if you have Bachelors degree or above with a good academic background. 1-2 years of full-time work experience as an AI Analyst. A highly resourceful individual who is looking to grow in the SaaS AI field. Experience in Python (Pandas, Matplotlib, NumPy) is a must. Experience in SQL is a must. Experience with Prompt Engineering is a plus. Familiarity with Classical ML Models (scikit-learn) and Deep Learning (Hugging Face, PyTorch) is a plus. Experience with Data Engineering is a plus. Employing test findings to do Statistical analysis and improve models. Knowledge of common metrics for evaluation of ML models is a plus. We offer market-leading compensation, based on the skills and aptitude of the candidate. To learn more visit : https://thelevel.ai/ Funding : https: / / www.crunchbase.com / organization / level-ai LinkedIn : https: / / www.linkedin.com / company / level-ai /

Required Skills Technology | Statistical Analysis Tool / Software | Excel Education Qualification : Any Graduate Certification Mandatory / Desirable : Technology | IT Certifications | HDI Certification | ITIL Foundation Details: Hardware and Network: a. Understand issues from user perspective and reach out to appropriate resolver groups b. Decode the error /alarm status, understand the failed unit / device and provide hands and feet support in resolution through strong hardware and networking troubleshooting techniques. Switching: a. Carry out Standard Configuration on Switch according to the template. b. Carry out VLAN Mapping to IP Address using SVI, Vlan Interfaces, Port mapping, Port security, Perform Port Aggregation and Link Configuration: Access / Trunk. Routing: a. Troubleshoot Routing issues(EIGRP/OSPF), Over-Utilization, Reachability, VPN connectivity. b. Apply standard SOP based Configurations on routers. (AAA, TACACS, Radius, Banner Standard access-list, GRE, VPN Configurations) WLAN: a. Troubleshoot WAP isolation issues, authentication issues and Validate with CAP WAP messages. b. Carry out configuration such as group Creation, access-control and documented Changes Network Management Tools: a. Troubleshoot MACD failures. b. Monitor and report capacity breach status (such as license). c. Monitor health status as defined in SOP Technical Skills: - Network Components and Devices - Switches, Soft Switches, Multi-layer Switches - Routers, Bridge Routers - Wireless Access Points (WAPs), Wireless Network Interface Controller - PBX Behavioural Skills: Email Communication, Presentation, Public Speaking