775 Econometrics Jobs - Page 14

The Microsoft E+D India team is looking for high caliber and highly motivated AI Experts to reimagine productivity with AI and build transformative products for our commercial customers. Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and so on. In addition, the team obsesses about building next generation engineering infrastructure, tooling and process using AI for improving developer productivity and engineering efficiency. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. Our team of Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data for fine tuning to generating actionable insights to fine tune prompts to come up with evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios to create AI tooling. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Preferred Qualifications Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc.. #M365CORE Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Summary What you need to know about the role You will develop and enhance CECL and IFRS9-compliant loss forecasting models using advanced machine learning and statistical techniques. Your work will directly influence PayPal s credit risk management and loss reserves. Meet our team You ll join the Global Credit Intelligence Team, a collaborative group within the broader Global Credit Risk organization. Here, you ll work alongside experts in data science, finance, strategy, and risk to deliver innovative solutions that drive PayPal s credit risk analytics forward. You will partner closely with teams across the business including SLOD Model Risk Management, finance, and external regulators to ensure our models are robust, compliant, and impactful. Your work will help shape credit strategies that protect our customers and business, all within a supportive and inclusive environment where your ideas and growth are valued. Job Description Your way to impact In this role, you will apply advanced machine learning and statistical techniques to PayPal s rich proprietary data, driving the development of CECL and IFRS9-compliant loss forecasting models. Your work will directly shape credit risk strategies by providing accurate, data-driven insights that inform key business and regulatory decisions. As part of the Global Credit Intelligence Team, you will help ensure our credit policies and loss reserves are closely aligned with real-time risk exposures and evolving macroeconomic trends. By delivering robust, explainable models, you will play a vital role in supporting PayPal s strategic business decisions and compliance with regulatory requirements. Your day to day Extract, prepare, and validate large, complex datasets from PayPal s proprietary systems using SQL, Python to support model development and analytics. Build, enhance, and document CECL/IFRS9-compliant loss prediction models, leveraging PD/EAD/LGD frameworks and vintage loss rate methodologies. Conduct rigorous model performance testing, stress testing, and scenario analysis to ensure models are robust and regulatory-compliant Collaborate cross-functionally with implementation, finance, accounting, risk, and external stakeholders to align on model outputs, definitions, and business needs. Clearly communicate analytic insights and model results to senior leadership, and provide expert support for regulatory exams and audit reviews. What do you need to bring Advanced degree in a quantitative discipline (e.g., statistics, mathematics, data science, computer science, engineering, or related field). Deep expertise in statistical modeling, machine learning, or econometrics applied to credit risk, knowledge and familiarity of CECL and IFRS9 regulatory requirements and modeling best practices is a plus. Strong technical skills working with large datasets using SQL, Python, R, or similar tools; experience with cloud-based platforms such as GCP is highly desirable. 5+ years of hands-on experience developing consumer or small business credit risk models, preferably within a CECL/IFRS9 framework. Excellent communication and collaboration skills, with strong business judgment and a passion for data-driven problem solving. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role You will develop and enhance CECL and IFRS9-compliant loss forecasting models using advanced machine learning and statistical techniques. Your work will directly influence PayPal’s credit risk management and loss reserves. Meet our team You’ll join the Global Credit Intelligence Team, a collaborative group within the broader Global Credit Risk organization. Here, you’ll work alongside experts in data science, finance, strategy, and risk to deliver innovative solutions that drive PayPal’s credit risk analytics forward. You will partner closely with teams across the business—including SLOD Model Risk Management, finance, and external regulators—to ensure our models are robust, compliant, and impactful. Your work will help shape credit strategies that protect our customers and business, all within a supportive and inclusive environment where your ideas and growth are valued. Job Description: Your way to impact In this role, you will apply advanced machine learning and statistical techniques to PayPal’s rich proprietary data, driving the development of CECL and IFRS9-compliant loss forecasting models. Your work will directly shape credit risk strategies by providing accurate, data-driven insights that inform key business and regulatory decisions. As part of the Global Credit Intelligence Team, you will help ensure our credit policies and loss reserves are closely aligned with real-time risk exposures and evolving macroeconomic trends. By delivering robust, explainable models, you will play a vital role in supporting PayPal’s strategic business decisions and compliance with regulatory requirements. Your day to day Extract, prepare, and validate large, complex datasets from PayPal’s proprietary systems using SQL, Python to support model development and analytics. Build, enhance, and document CECL/IFRS9-compliant loss prediction models, leveraging PD/EAD/LGD frameworks and vintage loss rate methodologies. Conduct rigorous model performance testing, stress testing, and scenario analysis to ensure models are robust and regulatory-compliant Collaborate cross-functionally with implementation, finance, accounting, risk, and external stakeholders to align on model outputs, definitions, and business needs. Clearly communicate analytic insights and model results to senior leadership, and provide expert support for regulatory exams and audit reviews. What do you need to bring Advanced degree in a quantitative discipline (e.g., statistics, mathematics, data science, computer science, engineering, or related field). Deep expertise in statistical modeling, machine learning, or econometrics applied to credit risk, knowledge and familiarity of CECL and IFRS9 regulatory requirements and modeling best practices is a plus. Strong technical skills working with large datasets using SQL, Python, R, or similar tools; experience with cloud-based platforms such as GCP is highly desirable. 5+ years of hands-on experience developing consumer or small business credit risk models, preferably within a CECL/IFRS9 framework. Excellent communication and collaboration skills, with strong business judgment and a passion for data-driven problem solving. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Minimum Qualifications Bachelor’s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Job Description We are looking for qualified people who can develop scalable solutions to complex real-world problems using AI/ML, Big Data, Statistics, Econometrics, and Optimization. Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and AI/ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in Analytics, Computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Analytics, Computer Science, Operational research, Statistics, Applied mathematics or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills

Are you passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of Applied Scientists and engineers working at the forefront of generative AI to shape the future of productivity tools. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Applied Research & Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications. Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features. Experimentation & Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction. Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Minimun 1 year of industry experience in applied machine learning or data science roles. Proficiency in Python Experience developing and evaluating generative AI models. Familiarity with NLP techniques and content understanding. Strong verbal and written communication skills to explain complex technical concepts to diverse audiences. Ability to tackle open-ended problems and deliver practical, scalable solutions. Preferred Qualifications: Proficiency in ML libraries such as PyTorch or TensorFlow. Experience deploying ML models in production environments. Exposure to full product lifecycle from prototyping to deployment and iteration. Contributions to research publications, patents, or open-source projects. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Company Description CrystalVoxx Global LLP is a healthcare econometrics company specializing in integrated healthcare solutions, including Medical Billing and Coding Services for Individual & Group Practices. With a focus on Provider Insurance Credentialing, Claims Management, and Revenue Cycle Optimization, CrystalVoxx helps practices improve their financial performance. Their process workflow ensures no money is left uncollected, backed by 14 years of industry experience and smarter technology. Role Description This is a full-time on-site role for an AR Executive - Medical Billing at CrystalVoxx Global LLP located in Ahmedabad. The AR Executive will be responsible for managing accounts receivable, including handling denials, ICD-10 coding, insurance verification, Medicare billing, and resolving payment discrepancies. Qualifications Knowledge of Medical Terminology Familiarity with Medicare billing Excellent communication Basic Computer Knowledge

Role Purpose: To provide academic leadership in the field of Economics through high-quality teaching, research, and service. The Professor will contribute to curriculum development, mentor students and junior faculty, and engage in impactful research to support institutional and societal development. Key Responsibilities: Teaching & Learning: Deliver undergraduate and postgraduate courses in Economics. Design and update curriculum in alignment with academic and industry trends. Use innovative teaching methodologies and tools to ensure effective learning. Supervise dissertations, projects, and theses at undergraduate, postgraduate, and doctoral levels. Conduct lectures, tutorials, seminars, and workshops. Research & Publication: Undertake original research in Economics and publish in peer-reviewed journals. Present research at national and international conferences. Lead research projects and secure external funding. Collaborate with industry and academic institutions for joint research. Academic Leadership: Mentor and support the professional development of junior faculty. Participate in faculty recruitment, training, and evaluation. Contribute to strategic planning and departmental development. Guide and lead academic committees and task forces. Student Mentorship & Development: Provide academic guidance and mentorship to students. Support students in career planning and higher education pursuits. Facilitate student-led research and economics-based projects or clubs. Institutional Contribution: Participate in accreditation, curriculum design, and policy formulation. Engage in outreach, consultancy, and community-based economics programs. Represent the department/university in academic and professional forums. Educational Qualifications: Ph.D. in Economics from a recognized university. M.A./M.Sc. in Economics with high academic standing. UGC-NET qualification (if applicable under national norms). Experience: Minimum 10 years of teaching/research experience in a reputed academic institution. Proven record of published research in reputed national/international journals. Experience in supervising Ph.D. scholars and guiding research teams. Functional Competencies: Expertise in microeconomics, macroeconomics, econometrics, or development economics. Strong research skills and data analysis proficiency. Familiarity with statistical tools like STATA, R, SPSS, or EViews. Ability to design interdisciplinary and application-oriented curriculum. Behavioural Competencies: Academic integrity and professional ethics. Leadership and team management abilities. Strong communication and interpersonal skills. Student-centric approach and mentoring capability. Adaptability and openness to innovation in pedagogy.

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, Alteryx etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). What you’ll do Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation Design, build, and maintain infrastructure and systems that enable the Extraction, Transformation, and Storage of large datasets for analysis Work with Bain team or end-clients as an expert on specific platform/tool/language (Snowflake/Azure/AWS/Python/SQL etc.) in individual capacity or lead teams of analysts and associates to design and deliver impactful insights Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users Ensure that the data architecture is scalable and maintainable Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions Apply knowledge of data analysis tools like SnowPark, Azure Data Bricks, AWS Athena, Alteryx, etc. to support case teams with analysis of KPIs Solve complex custom visualization and analysis issues, providing thought leadership and business judgment Prepare documentation for further reference The working style of the team would be to support product development; hence the pipelines and algorithm built should be scalable and automated Manage internal and external stakeholders, across instruments and workstreams to provide expertise in data management and tool expertise Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management May also take responsibility for assigning work streams to Analysts & Associates, monitor and balance workload; Provides tool based technical expertise to the junior team members when required Deploy Data engineering solutions using CI/CD pipelines (GitHub, Cloud servers using Snowflake/Azure/AWS) Lead client/ case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team Keep abreast of new and current statistical, database and data warehousing tools & techniques Recognize team’s development needs and consistently provide responsible feedback in all interactions via conducting performance discussions, writing reviews for appraisal etc. Assist on other team management activities (e.g. recruiting, training, etc.) About you Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 5-7 years of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in data handling and ETL workstreams Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 5+ years of experience in Database development on Cloud based platform Snowflake Experience on ETL processing via SnowPark and Snowflake is a must Proficiency with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc., Experience on Azure, AWS is a plus Candidates with advanced certifications in Snowflake will be preferred Experience of data modeling, data warehousing principles Experience in reading data from different data sources including on premise data servers, cloud services and several file formats Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office Must be willing to own and maintain high visibility and high impact product Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Must have ability to generate and screen realistic answers based on sound reality checks and recommend actionable solutions Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadline Good to Have: Experience in building Custom GPTs and AI Agents Knowledge of Environment creation and management Knowledge of CI/CD pipelines: GitHub, Docker, and containerization is a plus Experience in managing productized solutions is a plus What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

Designation: Economics Faculty (Advanced microeconomics) The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. The subject knowledge in Applied Economics , welfare economics, etc. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have qualified in UGC NET in economics 2. Proficiency in instructional design and delivery methods(content delivery). 3. Who have appeared for the IES(Indian Economics Services) Exam will be given preference Type: Work from Home Work type: Full time / Part time

Applied Sciences IC2 Noida, Uttar Pradesh, India Date posted Jul 02, 2025 Job number 1842471 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview Are you passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of Applied Scientists and engineers working at the forefront of generative AI to shape the future of productivity tools. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Minimun 1 year of industry experience in applied machine learning or data science roles. Proficiency in Python Experience developing and evaluating generative AI models. Familiarity with NLP techniques and content understanding. Strong verbal and written communication skills to explain complex technical concepts to diverse audiences. Ability to tackle open-ended problems and deliver practical, scalable solutions. Preferred Qualifications: Proficiency in ML libraries such as PyTorch or TensorFlow. Experience deploying ML models in production environments. Exposure to full product lifecycle from prototyping to deployment and iteration. Contributions to research publications, patents, or open-source projects. Responsibilities Applied Research & Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications. Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance. Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features. Experimentation & Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction. Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About us Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services. Who you will work with This role is based out of the Visualization Centre of Excellence (CoE) at the BCN. Visualization CoE works closely with global Bain case teams, Bain Partners and end-clients providing them data analytics and business intelligence support using advanced data analysis and visualization tools (e.g., SQL, Python, Azure, AWS, Tableau, PowerBI, Alteryx etc.). The CoE is a one-stop shop for all case requests related to converting data into insightful visualizations tools (e.g., survey analytics, leadership KPI dashboards, etc). What you’ll do Responsible for end-to-end handling of the entire process, i.e., requirement gathering, data cleaning, processing and automation Design, build, and maintain infrastructure and systems that enable the Extraction, Transformation, and Storage of large datasets for analysis Work with Bain team or end-clients as an expert on specific platform/tool/language (Snowflake/Azure/AWS/Python/SQL etc.) in individual capacity or lead teams of analysts and associates to design and deliver impactful insights Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users Ensure that the data architecture is scalable and maintainable Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions Apply knowledge of data analysis tools like SnowPark, Azure Data Bricks, AWS Athena, Alteryx, etc. to support case teams with analysis of KPIs Solve complex custom visualization and analysis issues, providing thought leadership and business judgment Prepare documentation for further reference The working style of the team would be to support product development; hence the pipelines and algorithm built should be scalable and automated Manage internal and external stakeholders, across instruments and workstreams to provide expertise in data management and tool expertise Work under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team’s overall answer and final materials, client communication, work planning, and team management May also take responsibility for assigning work streams to Analysts & Associates, monitor and balance workload; Provides tool based technical expertise to the junior team members when required Deploy Data engineering solutions using CI/CD pipelines (GitHub, Cloud servers using Snowflake/Azure/AWS) Lead client/ case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal team Keep abreast of new and current statistical, database and data warehousing tools & techniques Recognize team’s development needs and consistently provide responsible feedback in all interactions via conducting performance discussions, writing reviews for appraisal etc. Assist on other team management activities (e.g. recruiting, training, etc.) About you Candidate should be a Graduate/Post-Graduate from top-tier College with strong academic records and with 5-7 years of relevant work experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in data handling and ETL workstreams Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred Minimum 5+ years of experience in Database development on Cloud based platform Snowflake Experience on ETL processing via SnowPark and Snowflake is a must Proficiency with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc., Experience on Azure, AWS is a plus Candidates with advanced certifications in Snowflake will be preferred Experience of data modeling, data warehousing principles Experience in reading data from different data sources including on premise data servers, cloud services and several file formats Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office Must be willing to own and maintain high visibility and high impact product Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders Must have ability to generate and screen realistic answers based on sound reality checks and recommend actionable solutions Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadline Good to Have: Experience in building Custom GPTs and AI Agents Knowledge of Environment creation and management Knowledge of CI/CD pipelines: GitHub, Docker, and containerization is a plus Experience in managing productized solutions is a plus What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role You will develop and enhance CECL and IFRS9-compliant loss forecasting models using advanced machine learning and statistical techniques. Your work will directly influence PayPal’s credit risk management and loss reserves. Meet our team You’ll join the Global Credit Intelligence Team, a collaborative group within the broader Global Credit Risk organization. Here, you’ll work alongside experts in data science, finance, strategy, and risk to deliver innovative solutions that drive PayPal’s credit risk analytics forward. You will partner closely with teams across the business—including SLOD Model Risk Management, finance, and external regulators—to ensure our models are robust, compliant, and impactful. Your work will help shape credit strategies that protect our customers and business, all within a supportive and inclusive environment where your ideas and growth are valued. Job Description: Your way to impact In this role, you will apply advanced machine learning and statistical techniques to PayPal’s rich proprietary data, driving the development of CECL and IFRS9-compliant loss forecasting models. Your work will directly shape credit risk strategies by providing accurate, data-driven insights that inform key business and regulatory decisions. As part of the Global Credit Intelligence Team, you will help ensure our credit policies and loss reserves are closely aligned with real-time risk exposures and evolving macroeconomic trends. By delivering robust, explainable models, you will play a vital role in supporting PayPal’s strategic business decisions and compliance with regulatory requirements. Your day to day Extract, prepare, and validate large, complex datasets from PayPal’s proprietary systems using SQL, Python to support model development and analytics. Build, enhance, and document CECL/IFRS9-compliant loss prediction models, leveraging PD/EAD/LGD frameworks and vintage loss rate methodologies. Conduct rigorous model performance testing, stress testing, and scenario analysis to ensure models are robust and regulatory-compliant Collaborate cross-functionally with implementation, finance, accounting, risk, and external stakeholders to align on model outputs, definitions, and business needs. Clearly communicate analytic insights and model results to senior leadership, and provide expert support for regulatory exams and audit reviews. What Do You Need To Bring Advanced degree in a quantitative discipline (e.g., statistics, mathematics, data science, computer science, engineering, or related field). Deep expertise in statistical modeling, machine learning, or econometrics applied to credit risk, knowledge and familiarity of CECL and IFRS9 regulatory requirements and modeling best practices is a plus. Strong technical skills working with large datasets using SQL, Python, R, or similar tools; experience with cloud-based platforms such as GCP is highly desirable. 5+ years of hands-on experience developing consumer or small business credit risk models, preferably within a CECL/IFRS9 framework. Excellent communication and collaboration skills, with strong business judgment and a passion for data-driven problem solving. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127753

The Development Innovation Lab at the University of Chicago uses the tools of economics to develop innovations with the potential to benefit millions of people in low- and middle-income countries. It was founded and is led by Nobel laureate Michael Kremer. Position Description DIL is seeking Predoctoral Associates to collaborate on new and ongoing research in development economics. Successful applicants will be based in project locations and work closely with Principal Investigators (PIs) at the Development Innovation Lab (DIL) at the University of Chicago, including Professor Michael Kremer, Nobel laureate and DIL Faculty Director to design and implement research projects. The ideal candidate is passionate about conducting research in development economics. We are open to candidates with education and training in non-economics fields who demonstrate interest in development research. The Predoctoral role offers training and mentorship for candidates with an interest in pursuing doctoral programs in economics and/or related fields. Predoctoral associates will have an opportunity to engage with important development stakeholders (including DILs government partners), understand public programs in these sectors, and work with different data sources. The role is designed to aid pre-doctoral associates in their preparation for a Phd but also offers valuable exposure in case they choose to pursue a different professional path at the end of the position. Predoctoral associates will have the option to spend some time at the University of Chicago in the United States, where they will gain exposure to the development economics community. Formal employment will be through an in-country employer of record (EoR) under contract with DIL. Additional details regarding salary, benefits and terms and conditions of employment offered by the EoR will be provided to individuals during the hiring process. Responsibilities Supports the design and implementation of research under the direction of the PI. Lead data quality assurance efforts for studies Collects, records and analyzes data from field activities. Develop new projects in partnership with the PI and Lead Researchers at the Lab Manage relationships with partner organizations Conducts literature reviews. Participates in writing reports and manuscripts. Ensures compliance with institutional, state, and federal regulatory policies, procedures, directives, and mandates. Trains and oversees the work of research support personnel. Transcribes and codes data; develops data collection instruments. Presents research findings at staff meetings, seminars, and scientific conferences. Assists with building databases. Recruit and schedule research subjects. Maintains technical and administrative support for a research project. Conducting other relevant administrative tasks, as needed. Required Qualifications Education A bachelors or masters degree in Economics, Public Policy, Engineering, Environment Policy or Science or another field relevant to project needs. Experience : A minimum of one to two years of relevant research experience, which may include experience while in school. Experience working, studying, or spending significant time in developing countries or strong demonstrated interest in doing so. Strong demonstrated interest in the development sector. Knowledge of research techniques and methods in relevant scientific fields. Excellent data management, cleaning, and analysis skills or demonstrated interest in learning those skills. Preferred Qualifications Knowledge of impact evaluations, particularly, randomized controlled trials (preferred). Previous experience conducting development economics research as a Research Associate or similar role or, alternatively, technical skills (coding, analysis, and theory) with strong motivation to learn how to conduct field-based research in development economics. Familiarity with Stata, R, and SurveyCTO is preferred. Competencies Excellent management and organizational skills along with strong quantitative skills. Flexible, self-motivating, able to manage multiple tasks efficiently, and a team player. Strong communication, and presentation skills. Knowledge of research techniques and methods in relevant scientific fields. Knowledge of impact evaluations, particularly, randomized controlled trials. Excellent data management, cleaning, and analysis skills. Familiarity with Stata, R, and SurveyCTO is preferred. Fluency in English. Proficiency in other Indian languages and language spoken in project location preferred. Working Conditions Positions will be based in the relevant project location. Current project locations are: Bhubaneshwar, Vijayawada, Delhi, Bangalore. Base will be determined based on project needs. Travel to the United States Candidates must be flexible and able to travel extensively across India as per the requirement of their assignments. Applicants must be legally authorized to work in India.

DIL is seeking Predoctoral Associates to collaborate on new and ongoing research in development economics. Successful applicants will be based in project locations and work closely with Principal Investigators (PIs) at the Development Innovation Lab (DIL) at the University of Chicago, including Professor Michael Kremer, Nobel laureate and DIL Faculty Director to design and implement research projects. The ideal candidate is passionate about conducting research in development economics. We are open to candidates with education and training in non-economics fields who demonstrate interest in development research. The Predoctoral role offers training and mentorship for candidates with an interest in pursuing doctoral programs in economics and/or related fields. Predoctoral associates will have an opportunity to engage with important development stakeholders (including DILs government partners), understand public programs in these sectors, and work with different data sources. The role is designed to aid pre-doctoral associates in their preparation for a Phd but also offers valuable exposure in case they choose to pursue a different professional path at the end of the position. Predoctoral associates will have the option to spend some time at the University of Chicago in the United States, where they will gain exposure to the development economics community. Formal employment will be through an in-country employer of record (EoR) under contract with DIL. Additional details regarding salary, benefits and terms and conditions of employment offered by the EoR will be provided to individuals during the hiring process. Responsibilities Supports the design and implementation of research under the direction of the PI. Lead data quality assurance efforts for studies Collects, records and analyzes data from field activities. Develop new projects in partnership with the PI and Lead Researchers at the Lab Manage relationships with partner organizations Conducts literature reviews. Participates in writing reports and manuscripts. Ensures compliance with institutional, state, and federal regulatory policies, procedures, directives, and mandates. Trains and oversees the work of research support personnel. Transcribes and codes data; develops data collection instruments. Presents research findings at staff meetings, seminars, and scientific conferences. Assists with building databases. Recruits and schedules research subjects. Maintains technical and administrative support for a research project. Conducting other relevant administrative tasks, as needed. Required Qualifications Education A bachelors or masters degree in Economics, Public Policy, Engineering, Environment Policy or Science or another field relevant to project needs. Experience: A minimum of one to two years of relevant research experience, which may include experience while in school. Experience working, studying, or spending significant time in developing countries or strong demonstrated interest in doing so. Strong demonstrated interest in the development sector. Knowledge of research techniques and methods in relevant scientific fields. Excellent data management, cleaning, and analysis skills or demonstrated interest in learning those skills. Preferred Qualifications Knowledge of impact evaluations, particularly, randomized controlled trials (preferred). Previous experience conducting development economics research as a Research Associate or similar role or, alternatively, technical skills (coding, analysis, and theory) with strong motivation to learn how to conduct field-based research in development economics. Familiarity with Stata, R, and Survey CTO is preferred. Competencies Excellent management and organizational skills along with strong quantitative skills. Flexible, self-motivating, able to manage multiple tasks efficiently, and a team player. Strong communication, and presentation skills. Knowledge of research techniques and methods in relevant scientific fields. Knowledge of impact evaluations, particularly, randomized controlled trials. Excellent data management, cleaning, and analysis skills. Familiarity with Stata, R, and Survey CTO is preferred. Fluency in English. Proficiency in other Indian languages and language spoken in project location preferred. Working Conditions Positions will be based in the relevant project location. Current project locations are: Bhubaneshwar, Vijayawada, Delhi, Bangalore. Base will be determined based on project needs. Travel to the United States Candidates must be flexible and able to travel extensively across India as per the requirement of their assignments. Applicants must be legally authorized to work in India.

PxD is looking for a Research Associate/ Senior Research Associate to join our team, which is embedded within a government ministry. The successful candidate will have opportunities to work closely with PxD and affiliated researchers and substantially contribute to PxD's and clients research programs that test new ideas and measure their impacts. The successful candidate should understand and appreciate digital technology adoption and scaling through government. If you are passionate about working with the government to scale, leveraging evidence and technology, and committed to driving positive change in the agricultural sector, we encourage you to apply. Responsibilities (including but not limited to): Carry out day-to-day complex data management, including cleaning and merging datasets to prepare them for analysis Produce accurate and organized summaries of data including analysis for descriptive statistics and more advanced regression analysis. Support primary data collection, including enumerator training and designing high-frequency data checks. Maintain project documentation, including experiment registry entries. Carry out literature reviews and other desk research, providing input on research questions and structure. Develop and fill in frameworks with specific information to identify program insights. Draft survey and focus group discussion instruments, providing input on structure and concepts. Build strong relationships with a variety of partners, including at every level of Government. May support and manage the development of SMS and voice platforms to send messages; monitor engagement with PxD services; support complementary monitoring and evaluation efforts. Support IRB protocol development. Contribute to funding proposals and project reports. Contribute and support internal and external communications to disseminate research findings including briefs, blogs, reports, and presentations. Contribute to PxD institutional knowledge management and internal learning efforts. Requirements A Bachelors degree or Masters degree in economics, agricultural economics, public policy, statistics, or a closely related field, and experience in the following domains are desired: Strong understanding of economics, econometrics, and familiarity with randomized evaluations. Excellent knowledge of Stata, R, Python or similar software for data analysis. Demonstrated experience working on field research in economics in LMIC countries. Demonstrated experience in using SurveyCTO/ODK or a similar program for survey design. Understanding of research ethics for human subjects in the social sciences. Excellent organizational skills, detail-oriented, and ability to work both independently and collaboratively. Fluency in English. Demonstrated strong oral and written communication skills. Knowledge of any Indian language is a plus. Ability to work under time pressure and solve problems creatively. Experience working with government agencies.

PxD is looking for a driven, creative, and independent person to join a high-performing, flexible, and non-hierarchical team as a Senior Research Associate . The successful candidate will have opportunities to work closely with PxD and affiliated researchers and substantially contribute to PxD's programs to test and refine new ideas, use rigorous methods to experiment and measure the impact of these services, and identify pathways to scale. The successful candidate must have a strong interest in and commitment to PxD's mission to provide actionable information and other cost-effective, scalable services to people in poverty so that they can sustainably improve their incomes and well-being. Responsibilities (including but not limited to): The role will grow as you develop, but you will start by focusing on the following key responsibilities: Work with the team leadership and other colleagues in scoping, designing, piloting, and scaling evidence-backed digital agriculture services, including spending time with farmers in the field to ensure that services are closely aligned with user needs. Conduct qualitative and quantitative data collection (including farmer focus groups, interviews, and quantitative surveys) and data cleaning. Produce accurate and organized summaries of data, including basic analysis for descriptive statistics and simple regression analysis, and contribute to report writing. Carry out literature reviews and other desk research, providing input on research questions and structure. Develop and update project documentation regularly. Assist in managing partner relations and working with external stakeholders for the implementation of program operations. Contribute and support internal and external communications to disseminate project results and research findings, including briefs, blogs, reports, and presentations. Contribute to PxDs institutional knowledge management and internal learning efforts. Requirements Bachelors degree in economics, public policy, international development, or closely related fields. Strong understanding of economics, econometrics, and familiarity with randomized evaluations. Excellent knowledge of Stata or R or similar software for data analysis. Experience working on field research in economics in LMIC countries. Experience in using SurveyCTO/ODK or a similar program for survey design. Ability to draw inferences from data to identify pathways for program improvement (e.g., call center productivity, feedback of users to an SMS campaign, looking at usage statistics). Experience in a multi-faceted role, with the ability to balance and prioritize across multiple projects and stakeholders. Strong writing and oral communication skills in English, with attention to detail and advanced writing and presentation skills. Proficiency in Hindi is required. Knowledge of any other Indian language is a plus. Experience working with government agencies. Willingness to travel to field sites in India.

PxD is looking for a driven, creative, and independent person to join a high-performing, flexible, and non-hierarchical team as a Research Associate.The successful candidate will have opportunities to work closely with PxD and affiliated researchers and substantially contribute to PxD's research programs that test new ideas and measure their impacts. The successful candidate must have a strong interest in and commitment to PxD's mission to provide actionable information and other cost-effective, scalable services to people in poverty so that they can sustainably improve their incomes and well-being. Qualifications : A Bachelors degree in economics, agricultural economics, public policy, statistics, or a closely related field, and experience in at least several of the following domains are Desired: Strong understanding of economics, econometrics, and familiarity with randomized evaluations. Outstanding analytical skills and the capacity to gather and apply available information, and connect theories and data to practical insights to generate evidence-based insights to develop, test, refine, and scale innovations. Exemplary data and coding capabilities demonstrated through proficiency in data cleaning and processing, power calculations, sample selection, randomization, and basic regression analysis. Excellent knowledge of Stata or R or similar software for data analysis. Experience with different languages and tools used at PxD, such as SQL, Python, GIS, and SurveyCTO, is a plus. Strong critical thinking and problem-solving skills. Experience working on field research in economics in LMIC countries, ideally leading field teams or data collection. Excellent organizational skills, detail-oriented, and ability to work both independently and collaboratively. Fluency in English. Demonstrated strong oral and written communication skills. Knowledge of any Indian language is a plus. Ability to work under time pressure and solve problems creatively Responsibilities (including but not limited to): Carry out day-to-day basic data management, including cleaning and merging datasets to prepare them for analysis. Produce accurate and organized summaries of data including basic analysis for descriptive statistics and simple regression analysis. Support primary data collection, including enumerator training and running high-frequency data checks. Maintain project documentation, including experiment registry entries. Carry out literature reviews and other desk research when research questions and basic structure are provided. Fill in frameworks provided with specific information to identify program insights. Draft survey and focus group discussion instruments when structure and concepts are provided. Support IRB protocol development. Contribute to funding proposals and project reports. Assist with partner relations.Contribute to PxD institutional knowledge management and internal learning efforts. Support PxD institutional knowledge management and internal learning efforts. Contribute to internal and external communications to disseminate research findings including briefs, blogs, reports, and presentations.

Minimum Education and Experience: Relevant Masters + 4 years full-time experience J-PAL SA seeks a Policy Manager to contribute to its mission of promoting evidence-informed policy in J-PALs E2C2 sector and the SARWA Initiative. KEY RESPONSIBILITIES: Support SARWAs two major government partnerships (DDWS, Ministry of Jal Shakti, GoI and the Government of Gujarat) and assist the SARWA team in building and strengthening other relevant government partnerships under the lab This will entail working closely with the government stakeholders to identify research opportunities at the national and state levels, synthesise administrative and secondary data and work on policy outreach at the state level with the overarching mandate of initiating new randomised evaluations, synthesising and disseminating evidence around air and water Maintain and grow effective relationships with government officials at the national and state levels in order to proactively understand policy priorities and develop long-term strategies for SARWA that align with its government partners Synthesise findings from J-PAL studies and develop knowledge products like case studies, policy briefs, and evidence notes for dissemination of policy insights from J-PAL research across relevant government departments Provide regular project updates to government officials on ongoing research studies funded by SARWA Coordinate between government officials and J-PAL affiliated researchers to organise events and webinars to explore new research opportunities and disseminate findings from relevant J-PAL studies Support J-PAL affiliated researchers in establishing research projects for randomized evaluations and scoping studies in collaboration with SARWAs government partners Support in ideating and developing SARWAs fundraising strategy and forging new partnerships with philanthropic organisations and other donors Conduct desk research, including literature review, data analysis and drafting reports based on SARWAs engagement with government partners Support J-PALs Policy Team in its mission of scaling up evidence-based interventions in the E2C2 sector This will entail working with J-PAL affiliated researchers, governments, civil society partners, and other ecosystem partners to promote the adaptation and scaling of evidence-based interventions in the E2C2 sector Identify new low-touch scaling opportunities in the E2C2 sector by coordinating among researchers, policymakers, and other organisations to assess existing and upcoming evidence-based interventions Assess policy relevance of the issue through a deep understanding of the policy priorities of governments, the availability of rigorous evidence through a detailed analysis of the research study, and the scalability of the interventions through conversations with ecosystem partners Secure buy-in from governments and/or multi-stakeholder partnerships to adopt key learnings from J-PAL studies to achieve impact at scale Develop knowledge products such as toolkits, implementation guidelines and other outputs to facilitate evidence-use by governments | Support J-PALs Policy Team in its mission of promoting evidence-informed policy in the E2C2 sector This will entail understanding, summarising and supporting the dissemination of J-PAL evidence in the E2C2 sector; and working with government, civil society partners, and donors to promote the production and use of rigorous evidence in the E2C2 sector Lead networking and follow-up with relevant government partners, civil society partners, donors and media to understand their policy priorities and promote the use and production of rigorous evidence Catalyse new randomised evaluation research by matching innovative projects in the region with J-PAL affiliated researchers in the sector Support efforts to build and maintain relationships with key partners in governments, NGOs, foundations, and multilateral aid agencies in the region Draft internal reference materials and external policy outreach materials summarising evidence from J-PAL evaluations related to the E2C2 sector (eg, summaries, briefs, policy memos, concept notes, letters, presentations) in clear, accurate, and non-technical language; Lead evidence dissemination activities by curating custom decks and evidence notes and representing J-PAL to share evidence in the E2C2 sector in meetings with relevant stakeholders Lead in designing and operationalising the overall strategy for the E2C2 sector People Management. Supervise team members in the Policy vertical. Provide additional support to the Policy Team as required. Participate in cross-vertical collaboration opportunities on a case-by-case basis. Support senior management in preparing for meetings with background research and meeting notes/memos. Support J-PAL SA in the curation of public goods and team events within the Policy vertical as well as other verticals as required. QUALIFICATIONS Education : Master's degree (preferably in economics, public policy, environment/climate policy, or international development). A strong technical understanding of impact evaluations is preferred. Experience : This position requires four or more years of relevant experience in addition to a relevant Master's degree. Demonstrated interest and experience in environment, energy, air and water pollution, and/or climate policy and in program evaluation will be considered favourably. Understanding Randomised Evaluations : A keen understanding of the value of randomised evaluations and their usefulness for policy decisions is desirable. Skills and Competencies Communication : Attention to detail and excellent writing and presentation skills for communicating policy lessons from academic papers in ways that policymakers understand. This requires clear, precise, non-technical writing, and creativity in presentation. Proven ability to handle several different projects/tasks at one time, successfully complete tasks assigned, and meet deadlines. High level of attention to detail. Strong interest in international development policy, South Asia development, and/or program evaluation as demonstrated by coursework and professional experience. Language : Fluency in English (written and oral). Fluency in Hindi (written and oral) will be considered favourably.

The Firm Size and Preferences for Workplace Environment studies the relationship between firm owners/managers and workers across varied firm sizes in Tirupur. It looks at the differences in workplace environments across small and large firms and studies the workers' willingness to pay for flexibility in their working conditions. The PI on the project is Shreya Chandra, PhD candidate at the University of California, Berkeley Roles and Responsibilities : The role involves an array of responsibilities, including, but not limited to: Collaborating with the PI in refining research design, designing surveys, and conducting scoping and pilots in the field Developing error-free and rigorously tested digital versions of survey instruments and setting up data management systems for the project Ensuring the data collected is of the highest quality by implementing and overseeing data quality monitoring systems, including the design of meticulous data checks during data collection Cleaning data, assisting with preliminary data analysis, and preparation of summary statistics and reports across different rounds of data collection Leading the recruitment, onboarding, training, and supervising of data collection teams Effectively communicating and reporting field observations for fine-tuning research design components Overseeing the implementation of the evaluation following the research design on the ground Supervising data collection and data entry, and ensuring data quality and productivity including admin data from the partner Assisting with data cleaning, preliminary data analysis, and preparation of documents and presentations for dissemination Reporting to PIs on all of the activities mentioned above. Maintain compliance with all J-PAL protocols and policies. Qualifications Bachelors/ Masters degree in economics, social sciences, mathematics/statistics, public policy, or related fields Experience- 1-2 years Experience in primary data collection and field management role Experience working with police and governance projects before Excellent management/ organizational skills and ability to solve unexpected problems Working knowledge of Stata (would be a plus) Familiarity with RCTs Demonstrated experience managing a team Flexible, self-motivating, independent, and manages multiple tasks efficiently Ability to deal with unstructured and changing environments Attention to detail

The Research Intern will work closely with the Principal Investigator, Research Associates, Research Managers and other field staff to perform a variety tasks including, but not limited to: Supporting the PI in designing and piloting the survey instruments for any future experiments Conducting piloting activities in neighbourhoods of Patna Helping to review and design survey questions Intervention implementation and monitoring Liaising with and managing field staff who are conducting follow up activities with survey participants. Helping to design and implement the research protocol Ensuring that the PI is well informed about all the activities in the ground with respect to the implementation. Ensuring that the call centre, set-up as a part of the intervention, meets all safety requirements as per the study protocols Ensuring quality data collected in the call-centres by conducting back- checks and other data quality checks Data cleaning and processing Monitoring incoming data from the field Maintaining strong relationship with the partner organization Any other task as assigned by the PIs Desired Qualifications Resourceful, self-motivated and able to manage multiple tasks efficiently Experience managing or conducting data collection in the field Excellent written and spoken communication skills in English and Hindi Experience working with Stata and/or R strongly preferred Attention to detail and ability to stay organized Desire to learn and develop new skills Bachelor's/Master's degree in economics or related fields Familiarity with randomized controlled trials

Embark your transformative journey as Quant Analytics Wholesale Credit Risk - Vice President, where you will be responsible for developing best in class credit risk models using modern model development frameworks & methodologies. You will be responsible to drive increase in value by developing innovative modelling and analytical solutions which will improve the credit risk management / mitigation process using broad data and cutting edge technology. To be successful as a Quant Analytics Wholesale Credit Risk - Vice President you should have experience with: Hands on coding experience (as a full-stack developer / agile developer etc.) Preferable language is Python, C/C++. You must have knowledge of the following in Credit Risk (Pillar 1 - Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), IFRS9/CECL. CCAR. You must have Stress Testing/Scenarios Modelling, Model Development and/or Model Validation (development experience preferred), Statistical Modelling (preferably for Wholesale credit book). Some other highly valued skills may include: Advanced Technical Degree (Masters / PhD / similar or equivalents) - Statistics, Engineering, Numerical Analysis, Mathematics, Physics, Econometrics, Financial Engineering, Computer Science, Financial Mathematics. Certification - GARP-FRM, PRM, CQF, AI/ML Courses, Coding and Computer Programming. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is for Mumbai Location. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a Sr Data Analyst for Targets Merch Data Analytics team youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years expQualification:B.Tech/ B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools.3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets.4. Hands on experience in R, Python, Hive or other open-source languages/database5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above6. Git source code management & experience working in an agile environment.7. Strong attention to detail, excellent diagnostic, and problem-solving skills8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.10. Excellent communication, service orientation and strong relationship building skills11. Experience with Retail, Merchandising, Marketing will be strong addons