69 Statistical Software Jobs

You will be working with TAPI, the leading international supplier of active pharmaceutical ingredients (APIs) with an extensive portfolio of over 350 API products. TAPI is the preferred global supplier for APIs, supporting 80% of the top 50 global pharmaceutical companies. With a reliable history spanning over 80 years in the generic API industry, TAPI is renowned as one of the most trusted API suppliers, setting industry standards through its experience, expertise, technologies, and exceptional customer service. As a valued member of the team, you will play a crucial role in driving change, showcasing your attention to detail, analytical skills, and problem-solving abilities. Your day-to-day responsibilities will involve demonstrating strong project management and presentation skills, along with a solid understanding of Lean tools such as VSM, OEE, 5S, SMED, and statistical software applications like Minitab and JMP. Effective collaboration, communication, and organizational skills are essential for coordinating activities and guiding others while displaying leadership at various levels. To excel in this role, you should hold a Bachelor's degree in chemical engineering or an M.Sc. in chemistry, coupled with 5-10 years of experience in pharma/chemical manufacturing units, particularly in Production, OPEX, Tech transfer, or MS&T. Being a certified Lean-Six Sigma Black Belt from a reputable institute/organization will be advantageous. Your track record should reflect your ability to make impactful decisions, inspire trust, and focus on actionable recommendations, all while being a reliable, open, and consistent team player. TAPI values diversity and is committed to providing equal employment opportunities to all individuals. Join us in our mission to lead the API industry with innovation, reliability, and excellence, driving the introduction of new products to market through our ongoing investment in R&D.,

Description We are seeking an experienced Clinical Trials professional to manage and oversee clinical research studies in India. The ideal candidate will have a strong background in clinical trial design and execution, ensuring compliance with regulatory standards and the safety of trial participants. Responsibilities Design and implement clinical trial protocols in compliance with regulatory standards. Monitor trial progress and ensure adherence to timelines and budgets. Coordinate with various stakeholders, including sponsors, regulatory authorities, and clinical sites. Collect, analyze, and interpret data from clinical trials. Prepare and submit regulatory documents and reports. Train and supervise clinical trial staff and investigators. Ensure the safety and well-being of trial participants. Skills and Qualifications 6-16 years of experience in clinical trials or related field. Strong understanding of Good Clinical Practice (GCP) and regulatory requirements. Proficiency in clinical trial management software and electronic data capture systems. Excellent organizational and project management skills. Strong analytical and problem-solving abilities. Effective communication and interpersonal skills. Ability to work collaboratively in a team environment.

Education: Master s degree in Biostatistics, Statistics, MPH with specialization in Biostatistics, or a related field.- Experience: 1 2 years of relevant experience preferred; however, fresh graduates with strong interest and skills in biostatistics are also encouraged to apply.- Skills: Strong conceptual understanding of statistical methods and principles applicable to health research.- Tools: Proficiency in statistical software applications such as R, SPSS, SAS, or equivalent. coGuide is seeking a highly motivated and skilled individual to join our team as a Biostatistician. This role involves collaborating closely with clinicians and researchers to support statistical aspects of various medical, public health, and health-related research projects. The ideal candidate will have a strong foundation in statistical methodologies, a keen eye for detail, and a passion for improving research quality through rigorous data analysis and interpretation.

Primary Responsibilities: Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research ExpertiseDemonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies CommunicationDemonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters CollaborationDemonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic #NJP

The company believes in conducting business guided by core values of Inclusion, Innovation, Collaboration, and Wellness. These values ensure that the global team works together with customers at the center, taking care of themselves, each other, and the communities. Your way to impact: Your work is generally self-directed with minimal supervision. Assignments are of intermediate complexity with multiple steps, guided by defined processes and project requirements. The focus is on efficiently completing short-term project goals. What Do You Need To Bring: - Strong analytical skills for quick estimates, complex analyses, business cases, and forecasts. - Enthusiasm for data-driven problem solving in a fast-paced environment. Proficiency in Microsoft Excel, statistical software, SQL, and hands-on data analysis with large datasets. - Polished communication and influence skills to collaborate cross-functionally, present findings clearly, and reach alignment on risk strategies. - Can-do attitude, team player, energetic personality, ability to work well under pressure, and resilience to learn from mistakes. - Identify process glitches, develop solutions, and execute them independently. - Learning in-depth analysis of alternatives, seeking improvement within defined tasks, and executing improvement ideas. - BS/BA degree with 5+ years of experience or masters degree with 3+ years of experience. Our Benefits: To learn more about our culture and community, visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion. Join our Talent Community for consideration. Confidence gap and imposter syndrome should not deter spectacular candidates from applying. REQ ID R0114241,

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Design and execute real-world evidence studies using diverse data sources such as claims, EHR, and patient surveys to evaluate the value of medical interventions Conduct advanced statistical and econometric analyses to support health outcomes research and inform healthcare decision-making Collaborate with cross-functional teams and clients to develop research protocols, manage project timelines, and ensure high-quality deliverables Contribute to scientific dissemination through manuscripts, abstracts, and conference presentations, supporting the generation of peer-reviewed publications Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Technical Skills: Proficiency in statistical software such as SAS, R, STATA, or SQL; experience with real-world data sources like claims, EHR, and registries Research ExpertiseDemonstrated solid foundation in study design, econometric modeling, and outcomes research methodologies CommunicationDemonstrated excellent written and verbal communication skills, with experience in medical writing, including manuscripts, abstracts, and posters CollaborationDemonstrated ability to work in cross-functional teams and manage multiple projects in a client-facing environment At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission.

Required for processing and analyzing data to provide actionable insights into market trends, consumer behavior, and competitive dynamics. This role involves ensuring data accuracy through cleaning and integration. The analyst uses statistical methods and visualization tools to interpret data and create detailed reports and dashboards. They collaborate with cross-functional teams to support strategic decision-making and continuously improve research methodologies. Strong analytical skills, proficiency in statistical software, and the ability to communicate findings effectively are essential for this position. Required to work from office. KEY JOB RESPONSIBILITIES: Perform data checks using Quantum, SPSS and Excel Writing data cleaning scripts Do data manipulation like labeling, stacking, recoding etc. Resolving client queries and updating their

As a Survey PMO & Workforce Insights Specialist at PwC, your primary responsibility will be to design, conduct, and analyze surveys to gather valuable insights into workforce attitudes and behaviors. You will also support project management activities to ensure the successful execution of workforce transformation projects. You will collaborate with business leaders and Clients to design survey programs that deliver meaningful insights into workforce attitudes and behaviors, ultimately improving business outcomes. Specializing in developing and analyzing surveys related to workforce, market research, and customer satisfaction, you will help organizations optimize their Human Resources and establish industry-leading practices. Your key responsibilities will include developing and designing surveys, analyzing survey data using statistical software, supporting project management activities, collaborating with cross-functional teams, ensuring data confidentiality, overseeing survey administration, providing client training, managing positive client relationships, and helping manage project economics. To be successful in this role, you should have a Bachelor's degree in business, Statistics, Human Resources, or a related field, proven experience in survey design, data analysis, and project management, proficiency in statistical software and tools such as Excel, Alteryx or Power BI, strong data analysis and interpretation skills, excellent written and verbal communication skills, highly organized and detail-oriented, ability to work effectively in a team environment, critical thinking skills, adaptability to changing priorities, and the ability to work in a fast-paced environment. Preferred qualifications include a Master's degree in business, Statistics, Human Resources, or a related field, relevant certifications in project management (e.g., PMP) or data analysis (e.g., Certified Analytics Professional), and familiarity with workforce transformation and people analytics. If you are looking for a challenging role where you can utilize your survey design, data analysis, and project management skills to drive workforce insights and transformation, this position as a Survey PMO & Workforce Insights Specialist at PwC could be the perfect fit for you.,

About The Role Seeking a detail-oriented and analytical Design & Validation Engineer with expertise in CAD tools (SolidWorks) , statistical analysis (Minitab) , and risk management methodologies . The ideal candidate will be responsible for supporting the design, development, and validation of engineering solutions with a strong focus on usability , reliability , and compliance with safety and quality standards. Key Responsibilities: Develop and modify 3D models and 2D drawings using SolidWorks and other CAD tools. Conduct design validation , reliability testing , and usability assessments for new and existing products. Perform statistical analysis using Minitab to support data-driven decision-making in design and testing. Lead and document Risk Hazard Analysis , Use FMEA , and Design FMEA activities. Create and maintain Design & Development Plans in alignment with project and regulatory requirements. Collaborate with cross-functional teams including R&D, quality, and manufacturing to ensure robust product development. Support impact analysis , document routing , and risk mitigation planning throughout the product lifecycle. Required Skills & Qualifications: Bachelors degree in Mechanical Engineering, Industrial Engineering, or a related field. 48 years of experience in engineering design , risk analysis , and product validation . Proficiency in SolidWorks and computer-aided engineering (CAE) tools. Strong knowledge of Minitab or equivalent statistical software. Experience with FMEA , risk management , and design control documentation . Solid understanding of materials , manufacturing processes , and engineering principles . Excellent communication and documentation skills. Preferred Qualifications: Experience in medical devices , automotive , or aerospace industries. Familiarity with ISO 14971 , IEC 60601 , or other relevant regulatory standards. Knowledge of DOE (Design of Experiments) and Six Sigma methodologies.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. The JPMorgan Chase SMB Payments Analytics team aims to foster a data-driven culture and enable fact-based decision-making. Business Analytics supports this vision by providing data and promoting the adoption of analytics insights. We seek a Data Associate to enhance our analytics capabilities. As a Payments Analytics Associate in the JPMorgan Chase SMB Payments Analytics team, you will be responsible for identifying key metrics and conducting in-depth analyses to guide business strategies. You will collaborate with cross-functional teams to upsell and cross-sell products and improve partner and merchant experiences. Your role will involve using SQL, Python, and other big data techniques to develop insights and build narratives to support key initiatives.. Job Responsibilities Collaborate with various functions to develop insights and analytic solutions for clients. Conduct in-depth analyses and build statistical models to identify trends and key drivers for product, sales, risk, and operations decisions. Create data visualizations using existing tools or developing new ones, and enhance business dashboards. Implement processes and build tools to improve data access, extraction, and analysis efficiency. Build and maintain relationships with internal teams to proactively identify and address business needs using analytics. Required qualifications, capabilities, and skills 3+ years of experience in quantitative data analysis, ideally in the online payments industry. B.S. or M.S. in a quantitative field, such as Statistics, Applied Mathematics, Engineering, or Computer Science, from a top school. Proficiency in SQL and experience with statistical software or programming languages like R or Python. Experience with Looker, Tableau, or other data visualization and BI tools. Strong attention to detail and organizational skills. Ability to handle ambiguously defined problems, develop creative solutions, and meet challenging timelines. Excellent communication and presentation skills, with the ability to translate data into actionable insights. A team player who works well with teams across the company to achieve common goals. Role: Business Intelligence & Analytics - Other Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Medical-MS/MD in Psychology

Develop and lead the end-to-end product reliability strategy across design, testing, manufacturing, and field performance for electrolyzer systems. Collaborate deeply with design engineering, R&D, and systems engineering to embed reliability into early design stages (FMEA, DfR, HALT, etc.). Partner with operations and quality teams to monitor manufacturing consistency, identify systemic issues, and implement corrective/preventive actions (CAPA). Work closely with field service and customer success to collect, analyze, and respond to real-world performance data and customer feedback. Own and drive reliability testing programs, including accelerated life testing, environmental testing, stress testing, and statistical reliability validation. Lead root cause analysis (RCA) on field and test failures, ensuring closed-loop learning feeds back into future designs. Build and scale a high-performing reliability engineering team with strong analytical and experimental capabilities. Present reliability metrics and insights to executive leadership, supporting product roadmap and risk management decisions. Ensure compliance with relevant industry standards, safety regulations, and certification requirements. Desired Qualifications : Bachelor’s degree in Mechanical, Electrical, Chemical Engineering or related discipline 15+ years of experience in product reliability, systems engineering, or product development, ideally with automotive industry. Demonstrated success leading cross-functional reliability programs for complex, electro-mechanical products. Deep knowledge of reliability engineering tools and methodologies (FMEA, Weibull analysis, HALT/HASS, DFMEA, etc.). Background in automotive reliability, or industrial energy equipment is a strong plus. Proven ability to bridge engineering and operational teams to drive measurable product improvements. Strong data analysis skills; proficiency with reliability modeling tools and statistical software. Exceptional communication, leadership, and organizational skills Skills:- Design for Reliability (DFR), Highly Accelerated Life Test (HALT), Product Development, Product Reliability, Weibull Analysis Education: - Bachelor of Engineering / Bachelor of Technology (B.E./B.Tech) - Chemical Engineering, Bachelor of Engineering / Bachelor of Technology (B.E./B.Tech) - Electrical Engineering, Bachelor of Engineering / Bachelor of Technology (B.E./B.Tech) - Mechanical Engineering Ohmium is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Description We are seeking a Senior Market Research Executive to join our team in India. In this role, you will be responsible for conducting in-depth market research to support our strategic initiatives, analyze market trends, and provide insights that will drive business growth. Responsibilities Conduct comprehensive market research to identify trends, competition, and opportunities in the market. Analyze data using statistical tools and methodologies to provide actionable insights. Prepare detailed reports and presentations to communicate research findings to stakeholders. Collaborate with marketing and product development teams to inform strategies and decisions based on market research findings. Monitor and report on market trends and competitor activities to help shape strategic direction. Skills and Qualifications Bachelor's degree in Marketing, Business Administration, or related field. 2-5 years of experience in market research or a related field. Proficient in statistical analysis software (e.g., SPSS, SAS, R) and Microsoft Excel. Strong analytical and critical thinking skills with the ability to interpret complex data sets. Excellent written and verbal communication skills, with experience in report writing and presentations. Familiarity with qualitative and quantitative research methodologies. Ability to work independently and as part of a team, managing multiple projects simultaneously.

We are looking for a skilled Senior Data Analyst to join our team at Hevo Data, responsible for driving business growth through data-driven insights. The ideal candidate will have a strong background in data analysis and interpretation, with excellent communication skills. Roles and Responsibility Develop and maintain complex data models and dashboards to support business decision-making. Analyze large datasets to identify trends, patterns, and correlations, providing actionable recommendations. Collaborate with cross-functional teams to design and implement data-driven solutions. Create reports and presentations that communicate findings and insights to stakeholders. Stay up-to-date with industry trends and emerging technologies in data analytics. Provide expert-level support for data-related projects and initiatives. Job Requirements Proven experience as a Senior Data Analyst or similar role, with a minimum of 2 years of experience. Strong proficiency in data analysis tools such as SQL, Excel, or statistical software. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a fast-paced environment with multiple priorities. Strong understanding of data structures, algorithms, and software design patterns. Experience working with large datasets and developing scalable data solutions.

To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients

Aragen is looking for Junior Research Associate to join our dynamic team and embark on a rewarding career journeyAs a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects.Conduct research studies and analyze data using a variety of research methods and tools.Analyze and interpret data using statistical software and other analytical tools.Prepare reports and presentations summarizing research findings and conclusions.

Hetero Drugs Limited is looking for Research Associate I to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions

To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients Roles and Responsibilities To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients

Job Area: Engineering Group, Engineering Group > Quality Assurance Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Quality Engineer, you will plan, implement, and manage compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, quality, and regulatory standards for worldwide distribution. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer expectations. Minimum Qualifications: Bachelor's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 4+ years of Quality Engineering or related work experience. OR Master's Degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 3+ years of Quality Engineering or related work experience. OR PhD in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field and 2+ years of Quality Engineering or related work experience. Preferred Qualifications: Master's degree in Applied Science, Computer Science, Data Science, Engineering, Information Systems, or related field. 8+ years of Quality Engineering or related work experience. 3+ years of experience working in a large matrixed organization. 2+ years of experience with data modeling in statistical software such as MS Excel, Minitab, etc. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above). ISO 90012015 Internal Auditor, ISO 26262 Functional Safety Internal Auditor, Automotive SPICE Internal Auditor. Black Belt/Six Sigma certification. ASQ (e.g., CQE or CRE) certification or equivalent. Principal Duties and Responsibilities: Leverages advanced Quality Engineering knowledge and experience to plan, implement, and manage critical compliance of design, development/manufacturing, production processes, and/or quality requirements with safety, security, and regulatory standards. Designs, implements, and maintains advanced methods and procedures for inspecting, testing, and evaluating the precision and accuracy of critical designs, production processes, production equipment, and finished products. Performs advanced analyses of reports and data to identify critical trends and drives updates or control changes to quality standards and procedures. Ensures quality integration into the overall functions of design, development, process, and production. Identifies trends, defects, or problems in a wide range of processes, products, and customer feedback/customer returns and plays a central role in driving the effort to resolve defects or problems. Collaborates with cross functional teams to provide high quality products and timely resolution of R&D/line/market failures to meet customers quality expectations. Develops and/or delivers training material, process documents, and templates for ISO certifications and/or external certifications; delivers training for multiple products or processes. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Applications are invited for the position of Research Assistant (RA) under the ICSSR Major Research Project titled: The Role of Alternative Data in Expanding the Credit Access: A Study of Fintech Innovations in India . This study examines the impact of these fintech-driven innovations on expanding credit to low-income and underserved segments in India. It explores how alternative data is being used to create more inclusive credit-scoring models, thus mitigating the risk for lenders while increasing credit accessibility for individuals and small businesses previously excluded by formal financial systems. The study also highlights the challenges associated with the use of alternative data, including privacy concerns, regulatory constraints, and the potential for data biases. Through a combination of case studies, interviews with industry experts, and an analysis of regulatory frameworks, this research provides a nuanced understanding of the opportunities and limitations of alternative data in transforming India s credit landscape. The findings suggest that while alternative data offers immense potential to democratize credit access, a robust regulatory and ethical framework is essential to ensure responsible usage and protect consumer rights. The study concludes by offering recommendations for policymakers, fintech companies, and financial institutions to optimize the use of alternative data in expanding credit inclusion in India. Job Description: Conduct a literature review and support the development of the research framework. Assist in primary data collection, field surveys, and stakeholder interviews. Analyze primary and secondary data using econometric tools (e.g., STATA, R, Python). Draft reports, research briefs, and academic publications. Coordinate with fintech stakeholders, MSMEs, and data partners. Support overall administrative and research activities of the project. Job Location: Sri City Duration: 22 Months Required Qualification: Postgraduate degree in Economics, Finance, Public Policy, or related Social Science disciplines with at least 55% marks. Qualified NET/M.Phil./Ph.D. as per ICSSR norms. Desired skills: Desirable: Experience in fintech, development finance, or MSME-related research. Knowledge of statistical software and research documentation. Strong writing and communication skills. Remuneration: 26,000/- (per month) Application requirements: Interested candidates may apply by sending a single PDF file containing: Resume Cover letter that describes your academic interests, your experience as an academic instructor if you have tutored or taught before, and why you re interested in teaching undergraduate. A chapter from your thesis or a substantial piece of academic. Academic Certificates (PG and above) NET/M.Phil. /Ph.D. proof Provide names and email IDs of 3 referees. Email these materials to : [email protected] & [email protected] , Please write to this email address if you have any questions. Deadline and starting date: Review of applications will begin on 30.07.2025 . Applications will continue to be accepted till a suitable candidate is found. Shortlisted candidates will be interviewed. - Note: Only shortlisted candidates will be contacted. IFMRGSB Teaching Fellow Communications

Responsibilities: *Teach statistics subjects * Teach statistical principles using software tools * Publish academic papers related to statistics

Key Responsibilities: Academic Mentoring Provide doubt-clearing sessions to address student queries related to their coursework. Assist students in exam preparation by clarifying core concepts. Grade student assignments and tests, helping them improve research and writing skills. Evaluate student progress and offer regular feedback for improvement. Online Tutoring Deliver online tutoring sessions for international university students across various subjects. Conduct individual or group tutorials in a virtual learning environment (VLE). Develop and present video lectures on specialized academic topics. Academic Research Assistance Guide students on research methods and analysis to help them complete their research papers. Proofread and review students research papers, offering guidance on enhancements. Develop sample research papers for students to use as references when completing assignments. Core Responsibilities: Assess students individual learning needs and customize mentorship accordingly. Understand the learning objectives of academic programs, including research methodologies, referencing styles, and grading criteria. Conduct secondary research and demonstrate an in-depth understanding of academic concepts. Prepare plagiarism-free academic papers with strong language and research competency. Collaborate effectively with internal teams to ensure smooth academic operations. Required Candidate profile: Excellent oral and written communication skills in English. Strong subject matter expertise in the chosen academic field. Advanced research and analytical skills. Passion for academic research and writing. Willingness to learn and adapt to new subject areas and skill sets. Qualifications: We are looking for candidates from the following domains with respective qualifications: Management: MBA (Finance, HRM, Operations Project Management) Public Health / Hospital Administration / Pharmaceutical Management Law: LLB / LLM Nursing/Medicine: M.Sc. in Nursing / BDS / MDS / MBBS Accounting Finance: CA / CFA / B.Com / M.Com Economics: M.Sc. / Ph.D. in Economics Statistics: M.Sc. in Statistics Engineering (All Branches): B.Tech / M.Tech

The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: Monitor and analyze mainframe system performance and capacity trends. Collect, process, and validate large datasets from various system and business sources. Apply descriptive statistical techniques to summarize and interpret raw data. Utilize SAS software to generate reports and insights that inform capacity planning decisions. Collaborate with cross-functional teams to ensure data accuracy and relevance. Contribute to the development of tools and processes that enhance data collection and analysis **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Minimum of 6 years of related experience Bachelor's degree in a mathematics / statistics subject area preferred or equivalent work experience Talents Needed for Success: Foundational understanding of mainframe systems Proficiency in SAS or similar statistical software. MS Office skills, in particular intermediate PowerPoint, and Excel skills Excellent analytical skills including data exploration, analysis Good foundation in Descriptive Statistics Understanding of mainframe technology and components

You will be joining a dynamic team as a P&C Reserving Actuary in Bangalore, India. The role requires a minimum of 3-5 years of experience in P&C (re-)insurance. You should have a solid grasp of IFRS-17 and US GAAP financial principles, along with reserving methods specific to P&C (re-)insurance business. Proficiency in using actuarial and statistical software is essential. As a part of the team, you will be expected to demonstrate the drive to further enhance and complete your actuarial qualification, for example, Actuary CAS. Strong interpersonal skills, as well as excellent written and verbal English communication abilities, are crucial for effective collaboration. Additional language skills will be advantageous. The role also demands the capability to prioritize tasks, create efficient plans, and manage multiple work streams simultaneously. Successful performance will involve working harmoniously with individuals of diverse personal styles and cultural backgrounds. If you meet these requirements and are interested in this opportunity, please contact us at aayushi@green-tree.in.,

The responsibilities of the EBO Accounts Receivable role in India include gathering data from primary and secondary sources, maintaining databases, and analyzing intricate datasets to identify trends and patterns. You will be responsible for cleaning data, identifying coding errors, and aligning business priorities with management. In this role, you will have the opportunity to enhance processes, employ statistical techniques to derive business insights, and collaborate with various departments to address their data requirements. Additionally, you will develop data dashboards, visual aids, and reports to facilitate decision-making across departments. To excel in this position, you should have a strong foundation in statistics and practical experience with statistical software like Excel. Your analytical skills will be crucial in compiling, structuring, and presenting substantial datasets accurately. Effective communication and presentation abilities are essential for simplifying complex data insights for non-technical audiences. A bachelor's degree in Computer Science, Information Management, Statistics, or a related field is required, with prior experience in data analysis considered advantageous. Guidehouse offers a competitive compensation package and flexible benefits to create a diverse and supportive workplace. As an Equal Opportunity Employer, Guidehouse values diversity and inclusion in its workforce. If you require an accommodation during the application process, please contact Guidehouse Recruiting for assistance. Guidehouse does not charge any fees or collect banking information during the recruitment process. If you encounter any unauthorized requests for money or information, please report the matter to Guidehouse Ethics Hotline for further investigation. All communication regarding recruitment from Guidehouse will be sent from official Guidehouse email domains. Correspondence from any other domain should be considered unauthorized. For inquiries about job opportunities or the recruitment process, please contact recruiting@guidehouse.com. Guidehouse prioritizes the confidentiality and security of applicant information and takes necessary measures to provide reasonable accommodations as needed.,

PODDAR GROUP OF INSTITUTIONS is looking for Research Associate to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions