163 Hypothesis Testing Jobs - Page 7

Join the leader in entertainment innovation and help us design the future At Dolby, science meets art, and high tech means more than computer code As a member of the Dolby team, youll see and hear the results of your work everywhere, from movie theaters to smartphones We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide To do that, we need the absolute best talent, This is an opportunity to play a key role in Dolby's new R&D Center in Bangalore as a Research Lead in our Advanced Technology Group "ATG", the research and technology arm of Dolby Labs With multiple competencies that innovate on technologies in audio, video, AR/VR, gaming, music, broadcast and user-generated content, areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, social network analysis, and computer graphics are highly relevant to our research, What Youll Do As a Research Lead within Dolby ATG research, you will focus on three key areas of expertise: State-of the art, cutting edge, hands-on research: As a researcher, you will invent and develop the next generation of AI based multimodal image, audio, and speech technologies, With an in-depth understanding of the latest AI technologies and a good understanding of audio/video technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies including video and audio enhancement, analysis, classification, and separation You will create technologies for the next generation of Dolbys offerings, Managing, nurturing, and grooming top research talent: You will lead and mentor a group of AI researchers working in the application of AI to multimodal analysis, processing, playback, and enhancement technologies You will work with your team as a coach and mentor You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment, Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere, Technology strategy and direction setting: You will define and lead research initiatives that leverage cross-media intelligence and analytics, invent multimodal machine learning algorithms, and utilize a deep understanding of multimodal perception to develop the next generation of multimedia technologies, Jointly with Dolbys world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolbys cloud and licensing business, You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads Work jointly with upper management, lead resource and work allocation, You will also work with Dolbys Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide, Education And Desired Experience D You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures Knowledge of NLP and/or multi-modal architectures is highly desired You have a good understanding of Diffusion, autoregressive, or other generative models, Self-supervised, contrastive learning, auto-encoders, Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc Multimodal architectures and algorithms, You have a track record of successfully applying AI technologies to multimodal problems including the combination of audio and video technologies, You have deep knowledge of GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms, Strong track of inventing, developing and productizing novel AI based technologies in an industrial research environment, Strong publication record, with publications in major machine learning conferences (e-g NeurIPS, ICLR, ICML, etc ), Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis, Experience with audio and video processing is a plus, Highly skilled in C/C++, Python, TensorFlow or PyTorch, Experience in managing, guiding and mentoring younger researchers, Team-oriented work ethic and interest to work in cross-continental teams, Excellent communication, collaboration, and presentation skills in English, All official communication regarding employment opportunities at Dolby will come from an official dolby email address We will never request payment as part of the hiring process If you receive a suspicious message, please verify its authenticity before responding

As the Lead Data Scientist at Siemens Advanta, you will play a pivotal role in driving data-driven decision-making and leading the development and implementation of advanced analytical models. You will work closely with cross-functional teams to identify business challenges, design data-driven solutions, and provide actionable insights to optimize processes and drive innovation. We are looking for: Lead AI Engineer Youll make a difference by: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise. Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Should have working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. Should have hands-on experience in Forecasting using traditional ML and Deep Networks Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Should understand CI/CD processes in product deployment and used it in delivery. Should have an understanding of the Dockerization, REST APIs Working knowledge on software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Youll win us over by 8+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in languages such as Python, R, or C++. Exposure to the industrial engineering domain is preferred. Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. Proficient in the use of data science tools Excellent analytical/statistical skills. Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

Entity :- Accenture Strategy & Consulting Team :- Global Network- Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything-from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the client's business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets- commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage one's hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

OUR STORY Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. OUR VALUES Customer First. Customer satisfaction is our highest priority. High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about. Essential design. We don t chase trends, and we don t sell everything. We re expert curators that find the very best and bring it to you at the lowest prices. Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners. Environmentally and Socially conscious. We re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers. OUR TEAM AND SUCCESS Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. THE IDEAL CANDIDATE: As Senior Data Analyst, you will provide insights through the analysis of the vast amount of data captured by Quince. You will develop actionable strategies that will help us create best-in-class buyer experience, and help us allocate marketing resources to activities that yield the best results. The successful candidate will possess a passion for innovative analysis, processes that scale, and the tenacity to develop findings and recommendations that transcend the numbers. RESPONSIBILITIES: Perform comprehensive analysis of eCommerce metrics (e.g., traffic, site performance, email capture, conversion funnel, cross-sale/up sale, user engagement, etc.) to make recommendations and strategies for improvement Systematically analyze funnel across categories/franchises, assortment, landing pages, traffic sources (marketing platforms and campaigns) and make actionable recommendations for improvement with an intent of developing automation solution Serve as business owner of marketing and and web analytics data, Identify gaps in current data capture strategy to create an improvements roadmap that can support future digital product roadmap effectively. Utilize data insights to inform the development of A/B and multivariate tests (including developing a hypothesis, influencing creativity, identifying success metrics, and analysis) that drive improvement of key website, mobile, and customer metrics. Assist in prioritizing tests based on their size of the business impact Ad hoc issue investigation and quantification of business impact Create and maintain daily, weekly, and monthly e-commerce reports and dashboards, tracking key metrics and flagging any trends or performance issues. REQUIREMENTS: An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) 4-6 years of professional experience in online marketing, e-commerce, or equivalent role with an analytical bend, preference to ecommerce web analytics experience, and prior consulting experience Ability to conceptualize business problems and solving them through data analysis Excellent written and oral communication skills, including an ability to communicate across business areas Ability to prioritize and delivery on multiple threads of work in a fast-paced environment Proficient in basic hypothesis testing framework and comfortable using statistics basic in all data analysis Strong personal work ethic, including personal initiative and ownership Preferable background in marketing analytics

Job Responsibilities- Create and validate analytical datasets using on real-world data sources (e.g., claims data, electronic health records) based on study protocols and inclusion/exclusion criteria. Conduct descriptive and inferential statistical analyses (e.g., hypothesis testing, regression modelling, survival analysis) Develop and validate statistical algorithms for advanced data analyses (e.g., propensity score matching, machine learning) Contribute to the development of study protocols, statistical analysis plans, abstracts/posters, manuscripts, and study reports. Collaborate with cross-functional teams (e.g., epidemiologists, clinicians, biostatisticians) to design and execute RWE studies.

Position Overview: About this role: This role will provide critical insights from our A/B Testing program to business partners. You will also have your fingers on the pulse of the business and develop metrics and reporting to keep the organization informed. Through your high-quality analysis and attention to detail, you will be the go-to person for experimentation(A/B test) analytics and insights. The ideal candidate is highly motivated and will use their technical skills and business acumen to quickly make an impact! About this Team: Analytics team is responsible for generating actionable insights & analyses for the business, AB testing, data driven decision making and supporting Product, Marketing & Finance teams to create significant impact for our users & business. We also work very closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations and advanced data tools to deliver high quality analyses very efficiently. Company Overview: BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America (and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities: Conduct in-depth A/B test analysis to uncover opportunities for improving our products. Ensure data quality/accuracy in our A/B test reports. Develop new A/B Test reports and improve the existing ones. Present your A/B Test insights and recommendations to business leaders. Provide support to other analysts in their A/B test analysis/insights. Required skills: 2+ years’ experience performing quantitative data analysis on A/B tests, preferably for an internet or technology company. Expertise in managing large Google Sheets (querying, other advanced aspects). Excellent written and verbal communication skills, especially around complex project areas. Impeccable attention to detail and data accuracy Ability to write complex SQL queries to drive critical business decisions and reports. Robust understanding of Statistics with ability to explain statistical concepts to non-technical audiences. Bachelors or Masters’ degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence. Self-starter with a desire to learn and the ability to rapidly understand the business and its drivers. Ability to handle multiple projects and meet deadlines in a fast-paced environment. Additional skills (Good to have): Proficiency with BI tools such as Tableau, Looker, or equivalent. Proficiency in Python/R. Experience with Google Analytics, MixPanel or other front-end analytical platforms. Experience with building machine learning/predictive models. Qualifications: Engineering/ Master’s Degree from a good Institute (preferably Computer Science or related) Experience required: Product Data Analyst: 2 years+ of experience performing quantitative data analysis on A/B Tests Location: Noida (Hybrid working model)

Job Summary This role could be based in India or Poland. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you only select a country where the role is based The role-holder is responsible for the following: Operational Risk Capital and Stress Loss Modelling: Support, formulate, maintain, own, and exercise the models for calculating OR (which includes other non-financial risk capital) capital and stress loss forecasts Support best practice methodology, standards, and approach for capital and stress loss assessment Support the subject matter expert for model risk as related to all OR models and provide a point of control over the aggregate level of operational risk that arises from model risk, including the design of effective controls Support the modelling input into Group s OR ICAAP submission Be responsible for liaising with group model validation to validate all OR models and be the SME to answer all model related questions. Support the SME in driving quality input into all relevant internal development and changes in Operational Risk capital, including methodology, measurement, and any other areas requiring further development Ensure GOR regulatory capital framework follows regulatory standards and requirements (esp CRR), develop controls, and provide assurance of regulatory compliance to CRR Support the methodology for allocation Operational Risk capital to appropriate segments/ countries to facilitate risk / reward and prioritisation decisions Support the Group in establishing the framework and foundation for more sophisticated stress testing models. Be single point of contact to maintain country stress loss model and provide SME guidance to all country modelling related queries Governance: Support appropriate governance and routines (committees, forums and other) to support the Groups mandate. Key Responsibilities Strategy Drive the modelling input into Group s OR ICAAP submission Business Own and maintain the capital allocation to business models Be the model champion to educate, socialise and embed capital allocation model to business Processes Be responsible for liaising with group model validation to validate all OR models and be the SME to answer all model related questions. Drive quality input into all relevant internal development and changes in Operational Risk capital, including methodology, measurement, and any other areas requiring further development Be the subject matter expert for model risk as related to all OR models and provide a point of control over the aggregate level of operational risk that arises from model risk, including the design of effective controls Risk Management Drive best practice methodology, standards, and approach for capital and stress loss assessment Define, formulate, maintain, own, and exercise the models for calculating OR (which includes other non-financial risk capital) capital and stress loss forecasts Governance Support appropriate governance and routines (committees, forums and other) to support the Groups mandate. Regulatory & Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the [Operational Risk modelling deliverable to achieve the outcomes set out in the Bank s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment. ] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders Global Head of Operational Risk Global Head of Risk, Functions & Operational Risk Head, Operational Risk Stress Testing and Risk Appetite Head of Model Risk Management Head, Model Validation, Non-Financial Risk⊧ Heads of Business Lines Skills and Experience Modelling: Subject Matter Expert knowledge in operational risk modelling including use of Extreme Value Theory analysis, distribution models, econometric models. . etc Data Application Skills: Understanding of data structures and ability to query data tables. Analytical Skills: Ability to conduct hypothesis testing and articulate outcomes Qualifications Undergraduate and/or post graduate degree in mathematics, engineering, statistics, data analytics or any other numerate discipline Previous experience in Operational Risk modelling About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 28019

About The Role The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems.The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manger Roles and responsibilities: Understand business problem and requirements by building domain knowledge and translate to logical analytics problem. Conceptualize and design innovative solution by applying design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently address the end need. Prototype and experiment the solution to successfully demonstrate the value. Execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall digital analytics capability for eClerx through support in client delivery, pilots, pre sales pitches, product development and practice development. Technical and Functional Skills: Bachelor Degree in Computer Science with 7 to 10 years of experience in Data Analytics. Strong knowledge of Statistics, Data Analysis & Hypothesis testing along with Business Analytics background to support consulting assignments. Visualization and story-telling using Power BI, PowerPoint. Data wrangling using Python, SQL. Documentation using Word/ PowerPoint. Working knowledge of Excel, Pivot Tables, Formulas is must have. Good to have skills - Data Science/ RPA/ Automation using VBA, Excel macros. Exposure to Machine Learning algorithms is an added advantage.

About The Role Role Overview: As part of our Investment Banking - Quality transformation team, you will be working with our key operation stakeholders to transform processes and controls that build capacity and scale. The leader must demonstrate an ability to anticipate, understand, and act on evolving stakeholder & business needs, both stated and unstated. Through this, he/she must create a customer-centric organisation and use innovative thinking frameworks to identify high impact improvement opportunities & value-added solutions. With the right balance of Innovative initiatives, continuous improvement and governance, the leader must help in overachieve delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Associate Program Manager Roles and responsibilities: Working with senior business/Client stakeholders in structured way to identify business/process transformation opportunities & build project book of work Working closely with business processes & stakeholders to understand improvement opportunities, create business case, convert to projects & implement with quantified business outcomes Identification, Initiating & implementing high impact business transformation projects leveraging domain + Quality + technology knowledge Strong stakeholder management skills to identify stakeholder need, align improvement projects/initiatives in line with stakeholder need along with strong execution & governance till project closure Regular governance with key stakeholders on project progress via daily/weekly/monthly meetings Understanding & implementation experience of LEAN Six Sigma methodologies like DMAIC, DMADV (Six sigma black belt certified), Lean / Six sigma project management, TQM In depth Process & Risk Audits with working knowledge of risk frameworks Execute and lead key projects delivering tangible results for the business RPA/ AI/ML & Business Analytics background to identify & support improvement opportunities. Working knowledge of same would be added advantage knowledge of Statistics, Data Analysis & Hypothesis testing He/She should have strong capabilities in PowerPoint, MS Word and MS Excel and should be able to build domain expertise within team and lead from the front with the ability to work under pressure & handle multiple priorities. Technical Skills: Graduation (Bcom, BBA, BBM, BCA) / Post Graduation (Mcom, MBA, PGDM) with 12+ years of work experience. Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope Delivery of productivity gains, Risk elimination and identify and implement process improvements. Possess strategic perspective, business acumen, action orientation and drive for results. Ability to present and lead senior stakeholders meetings Willingness to continuously learn, upgrade skills and stay relevant to business demands

Job Summary: We are looking for a highly motivated and skilled Assistant Manager with strong experience in Data Analysis domain to join our growing team with demonstrated experience in handling large data sets and relational databases. Job Responsibilities: Demonstrate strong analytical and statistical skills towards taking complex business problems, wide variety of quantitative data, and provide structured and data-supported practical solutions towards optimizing shipping problems. Serve as a trusted partner to business units, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success. Ability to interpret complex data sets with the Strong Problem-solving skills. High level of attention to detail to ensure accuracy in data analysis and documentation. Proven track record of using analytics to drive significant business impact, creating deep-dives and presenting work efficiently. Ability to work with stakeholders to assess potential risks. Ability to analyze existing tools and databases and provide software solution recommendations. Ability to translate business requirements into non-technical, lay terms. Required Skills: B.Tech in a quantitative field like Engineering, Computer Science, Mathematics etc. 5+ years of relevant analytics experience - Strong analytical skills with expertise in SQL, and Excel. Proficiency in Python hands-on. A/B testing, very good ability with Quant (prior experience in Business performance analytics roles good to have) Campaign/promo measurement Good communication skills, with experience working in a fast-paced environment with cross-functional teams. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.