163 Hypothesis Testing Jobs - Page 4

AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 2+ years of tax, finance or a related analytical field experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Experience with data modeling, warehousing and building ETL pipelines Experience working with Tableau Experience using very large datasets

Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL Experience making business recommendations and influencing stakeholders Experience in Statistical Analysis packages such as R, SAS and Matlab Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

Project description We're seeking a strong and creative Software Engineer eager to solve challenging problems of scale and work on cutting edge technologies. In this project, you will have the opportunity to write code that will impact thousands of users You'll implement your critical thinking and technical skills to develop cutting edge software, and you'll have the opportunity to interact with teams across disciplines. In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. In this new adventure, you will have the opportunity to collaborate with a world-class team in the field of Insurance by building a holistic solution, interacting with multidisciplinary teams. Responsibilities Build scripts that can handle parallel and batch processing and ensure execution with best performance parameters. Fine Tune existing scripts for performance Manage the end-to-end development using Python Should be able to bring best standards and practices in python coding from previous experience. SkillsMust have Minimum 6+ years of relevant professional experience on core Python development Should be hands-on at scripting, programming especially in Python Should be capable of designing the program independently e.g. Python wrappers around other programs / scripts Should have been working on Agile DevOps culture [ADO ] Kanban and sprints. Should be senior enough for matured interactions internally and with Clients Nice to have Knowledge of Open Telemetry , SDK, APIs and client server models Acquaintance with IBM Z mainframe systems and relevant components like Omnibus, MQ, CICS, DB2, IMS Exposure to Monitoring cum observability domain Locations-PUNE,BANGALORE,HYDERABAD,CHENNAI,NOIDA

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Experience : 4 to 8 years Mandatory skills for an SME Content Development Proactive in continuous learning Prior experience at L&D , content development, conducting workshops, teaching technical sessions Mandatory technical skills for Data Science SME Programming in Python with a strong hands-on experience Hands-on experience in Data Analytics Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing, Statistical Tests like Z Test, Chi-Square Test, t -test etc. Data Visualization using Python: Univariate and Bivariate Analysis. Strong skills in interpretation and drawing the business insights from the plots Data Preprocessing Techniques, Feature Engineering using PCA, LDA etc. Machine Learning: Supervised and unsupervised algorithms Advanced Machine Learning: Bagging and Boosting Techniques Time Series Analysis: ARIMA, SARIMA, Holt-Winters model etc. Neural Networks: ANN, CNN, Transfer Learning, Pre-trained Models, RNN, LSTM Natural Language Processing: Text Processing NLP using Deep neural networks: BERT Models, Transformers, Encoders and Decoders GenAI: LLMs, Prompt Engineering Techniques, Building RAG Models, LangChain, LangGraph, LlamaIndex, Agentic AI Value-add: BI tools like PowerBI Data Engineering with Azure Cloud Services If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? This role will report to the Director of Marketing Optimization Capabilities Analytics (MOCA) team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurgaon. The candidate will be responsible for developing advanced analytical solutions to media measurement problems, and address needs around implementation and use by partner finance and data teams and for delivery of highly impactful analytics to optimize the performance of Media marketing channels through the application of insights from MOCA models Responsibilities: Working with Data Science to define different model structures and approaches to measuring media impact Profitability and media optimization analysis, scenario planning Develop channel investment recommendations Present results of complex analytical problems to business partners Minimum Qualifications: Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science) Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL. Experience in large data processing and handling, understanding in data science is a plus. Ability to work in a dynamic, cross-functional environment, with strong attention to detail. Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment. At least 2 years of people leadership experience Preferred Qualifications: Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner. Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test. Understanding of Media Mix Models and experience with modeling We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com . Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com . Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com . Why you should join us? At our core, we believe in the power of data to drive smarter decisions and transform operations. As an Operational Data Scientist, youll be at the forefront of this mission leading initiatives that streamline business processes, accelerate time to insight, and align analytics with strategic goals. Youll work in an environment that values rigor in experimental design, seamless model integration, and impactful operational analytics. We re not just looking for technical talent we want a strategic thinker and a collaborative leader who thrives at the intersection of data, business, and execution. If youre passionate about solving complex problems, influencing high-stakes decisions, and driving measurable outcomes, this is the opportunity to make your mark. Join us and be part of a team that turns data into action and action into impact. What will you be doing? 1. Experiment Design and Interpretation: Lead and design complex experiments, addressing challenges with statistical rigor. Interpret results and provide actionable insights to drive business decisions. 2. Data Engineering Workflow and Design: Partner with stakeholders to ensure data systems and structures are efficient and reliable. Reduce turnaround time (TAT) for analytics, feature exploration, and experimentation setup 3. Data Science Model Integration: Collaborate with data science teams to integrate models into workflows. Define success metrics, identify inefficiencies, and leverage model outputs to enhance operations. 4. Proactive and Reactive Analysis: Conduct exploratory data analysis, simulations, and hypothesis testing. Provide strategic support and actionable insights to address business challenges. 5. Health Metrics Design and Implementation: Define, implement, and monitor key performance metrics to assess platform performance and user behavior. 6. Leadership and Collaboration: Serve as a liaison between cross-functional teams, advocating for data-driven decisions. Mentor analysts and promote a culture of analytics within the organization. 7. Product Impact Tracking: Design and implement analyses to monitor product impact. Ensure alignment of analytics initiatives with broader business objectives. What are we looking for? Skills and Attributes: Advanced proficiency in SQL, Python, and Spark. Strong foundation in statistical concepts, experimental design, and hypothesis testing. Expertise with data visualization tools such as Tableau, Power BI, or Looker. Proven experience in leading teams and collaborating across functional teams. Creativity and strategic thinking to address complex business challenges. Ability to work with ambiguity and deliver data-driven solutions. 7+ years of overall work experience within a Tech/Consulting/Analytics industry 4+ years of relevant management experience in a business analyst, data analyst or data scientist role 7+ years of work experience with SQL, Python, Advanced Excel, Tableau or PowerBI The InMobi Culture At InMobi, culture isn t a buzzword; its an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom - guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https: / / www.inmobi.com / company / careers to better understand our benefits, values, and more!

: Job TitleCorporate Banking Strats Corporate TitleAssociate Location Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche banks global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Corporate Banking Strats. The candidate is required to work in collaboration with London/New York team on various quantitative and regulatory driven projects. He is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate his work effectively with various stakeholders spread across globe. What well offer you: 100% reimbursement under child care assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Centralization and automation of Risk in Banking Book for Corporate Banking business Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the Develop applications/libraries for the implementation of the soliton Your skills and experience Technical Skills- Strong educational background in Engineering/Science, preferably from good colleges in India Programming Skills At least 3 years experience in Python programming At least 2 years experience with relational database design (oracle, mysql) Good knowledge of C++ programming concepts ( Class, Pointers, Data structure stacks, queue) Quant/Analytical Skills Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms Experience/Knowledge of working with big data (data science) Behavioral Skills Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Responsibilities : ( Must have ) Six Sigma Green Belt OR Black Belt certification Graduate in any stream Analytics Good knowledge of MS Office Descent knowledge of statistical tools Drive the Six Sigma culture and initiative across the organization with commitment, passion and persistence Ensure Positive contribution to the companys Gross margins and Operating margins. Lead/ participate in Six Sigma and Lean projects. Identify and Mentor Six Sigma and Lean projects Mentor Green Belt Trainees Participate in consulting assignments Internally and at Client site Support/ Enable change management ensuing from the projects Value stream Mapping/ Process mapping Follow up on action items Recommend new/ improvements to delivery models Identify and ensure implementation automation projects, process improvements and cost optimization opportunities. Support maintenance of World Class Delivery standards Support Initiatives from CEOs office through CEO PMO Create reports for COO, Functional heads\Operational Heads and QPE. Monitor dashboards and issues for early warning signals and trends. Support for RFP, RFI, Sales Collaterals. Six Sigma and other (ARM grid) trainings. Participate in various meetings as part of the profile Job Responsibilities : (Desired) Should have done projects for Green Belt and Black Belt Good Communication skills Good interpersonal skills Criteria : (Must have) Must have driven process improvement plans/continuous improvement in customer service domain. Should be aware of DMAIC & Hypothesis Testing Graduate. Criteria : (Desired) Added advantage Mini Tab. Should be aware of 7 QC tools. Shifts timings: Flexible shifts Week Off : Saturday & Sunday Transport : NA

We are looking for a highly skilled Data Scientist with 2 to 4 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in statistics, mathematics, computer science, or another quantitative field. Roles and Responsibility Participate and collaborate with operation teams to understand business requirements and deliver scalable solutions. Conduct thorough research on state-of-the-art generative AI techniques and apply them to enhance LLM models. Create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection. Analyze user behavior, conversion data, and customer journeys to generate hypotheses and build optimization plans. Mine and analyze data from company databases to drive product development and business strategy improvements. Perform deep dive analyses on key business trends and package insights into easily consumable presentations and documents. Job Education in Statistics, Mathematics, Computer Science, or another quantitative field. Experience using computer languages (Python, SQL) to manipulate data and draw insights from large datasets. Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models. Strong programming skills in Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch). Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus. Prior experience in handling LLM use cases or working with large-scale language models is highly desirable. Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards. Experience with cloud computing platforms (preferably Azure) for deploying and managing machine learning models. Hands-on experience with generative AI models and techniques such as GANs, VAEs, and transformer models.

Better AI is a strategic initiative by Better, focused on building scalable, AI-powered solutions for complex challenges in Banking and Healthcare . We take a hypothesis-driven approach to validate ideas before investing in full-scale development, helping us minimize risk and maximize impact. Our mission is to ship sustainable AI products that solve critical real-world problems securely, efficiently, and meaningfully. As a Product Manager at Better AI, youll lead the discovery and validation process for new AI products. You ll be at the intersection of customers, market opportunities, and engineering execution. Your work will directly shape what we build, how we build it, and why it matters. Responsibilities: Identify and prioritize problem spaces in Banking and Healthcare that are ripe for AI innovation. Run rapid experiments and research to validate ideas before committing engineering resources. Conduct interviews and market research to deeply understand user needs, pain points, workflows, and decision-making processes. Identify potential design partners and early adopters. Collaborate with engineers and AI specialists to scope and ship MVPs. Define product requirements and iterate quickly based on user feedback. Ensure what we build aligns with both market demand and technical feasibility. Work with leadership to evaluate market size, ROI potential, and go-to-market strategy. Help turn validated prototypes into products with long-term value. About You: 3+ years of experience as a Product Manager, preferably in early-stage or AI-related B2B products. Proven ability to lead customer discovery and hypothesis testing in 0 1 environments. Strong communication and collaboration skills across technical and non-technical teams. Solid understanding of AI/ML fundamentals (you don t need to code, but you need to "get it"). Experience or deep interest in the Banking or Healthcare domains. Bonus: Experience working with enterprise or regulated customers. Perks and Benefits: Work remotely, anywhere in the world! Ditch the commute, embrace flexibility. Comprehensive health insurance - spouse and kids (pre-conditions!), 24/7 remote doctors. Generous PTO (12 paid, 6 sick) + national/regional holidays + paid parental leave. Annual off-sites - fully funded team trips, work and fun combined! Drive initiatives from scratch, solve real challenges, maximize your career value. Supportive, results-oriented team. Learn, grow, be your best.

Job Title: R Shiny Engineer/Data Scientist Required Experience: 3-4 years Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Responsibilities: Team Leadership: Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics and Statistical Modeling: Design, develop, and implement advanced machine learning models and statistical algorithms to extract insights and solve complex business problems. Apply robust statistical process control (SPC), univariate and multivariate analysis, and both parametric and non-parametric statistical techniques. Conduct hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and other statistical methods to ensure data quality and model validity. Work extensively with batch genealogy data and large manufacturing datasets to uncover patterns and optimize operational efficiency. Ensure strong statistical analysis support for both normal and non-normal distributions R Shiny Application Development: Develop and maintain robust, interactive R Shiny applications to support dynamic data exploration and decision-making platforms. Build scalable and user-driven front-end interfaces for real-time statistical analysis and visualization. Collaborate with backend engineers to integrate R Shiny platforms with Redshift and other data sources for seamless analytics delivery. Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) Minimum 1.5+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. Proven experience in developing and deploying R Shiny applications for real-time analytics and statistical platforms. In-depth experience with SPC, hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and batch genealogy analysis. Experience in developing statistical solutions for both normal and non-normal distributions, and applying both univariate and multivariate techniques. Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Statistical Modeling, and Data Visualization. Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. Must have hands-on experience with Deep Learning technologies for computer vision and image processing, as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. Excellent leadership, communication, and interpersonal skills. Experience with big data technologies and cloud platforms is a plus. Industry IT Services and IT Consulting

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

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.

Collect, analyze, and interpret complex data sets using Python and SQL to support business objectives. Collaborate with stakeholders to understand business needs, formulate analytic solutions, and provide actionable insights. Required Candidate profile Data Visualization: Basic skills in data visualisation to effectively communicate insights. Statistical Analysis: Foundational understanding of statistical methods If interested, call 6355770261

Department Overview The Design & Tools (D&T) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customers expectations. In this role, you will fit in the AI & Architecture team within D&T. Job Description We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc. Responsibilities include: Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred Qualifications Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Basic Requirements Bachelors degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role Travel Requirements None Relocation Provided None Position Type Experienced

About the Role: We are looking for an experienced Entrepreneur in Residence to join the Founder s Office at Leap. The EIR- New Categories will contribute their expertise to the organization while exploring new categories or scaling / collaborating on current projects. The charter for this role will include: Identify, validate, and launch new business opportunities within target categories. Working on transformation projects that will unlock the next phase of growth for the company. You will do multiple Strategize - Build - Operate - Transfer projects in a year. Working closely with Founders and Business leaders in solving key problems. You will act as a consultant to help multiple business lines and plug any gaps needed for the business to succeed. Collaborate across multiple central teams including functional specialists and business category teams to ensure coherence. Develop and execute strategies to grow product categories, ensuring market fit and scalability. Manage innovation and product development programs to align with category goals. Work on open ended projects such as market research, opportunity sizing, user research, identifying M&A opportunities. Do whatever else is critical for the business to win. Ideal Persona would: 5-8 years of proven experience as a founder, category manager, or Program Manager in high-growth businesses. Experience in a high growth startup, ideally exposed to the 0-1 and 1-100 journeys. Have experience with 0 -> 1 phase of company building (rapid experimentation, hypothesis testing, MVP, user research). Have experience with 1->100 phases of company building (process design, hiring, team management, scaling complexities). Have great stakeholder management skills and be extremely influential. Be a ninja at building alignment by influence (not by authority). Have strong first principle thinking, ability to navigate from ambiguity to clarity, should ask the right questions and get to answers fast. Be well networked and know how to learn fast from the right people by asking the right questions.

We are looking for a passionate and detail-oriented Business Analyst Analytics to join our dynamic product team. In this role, you will leverage data to influence key product decisions and enhance user experiences. You will collaborate with cross-functional teams including product managers, designers, and engineers to drive optimization and growth through data insights. Key Responsibilities: Analyze user behavior, conversion funnels, and site performance to identify optimization opportunities. Conduct A/B tests and experiments to validate product and UX decisions. Track and report key product KPIs and provide actionable insights. Utilize Google Analytics and Google Tag Manager to monitor and interpret user behavior. Develop dashboards and visual reports using SQL, Python/R, Tableau, Power BI, or Looker. Collaborate closely with product and engineering teams to enhance product features and user experience. Communicate data findings effectively to both technical and non-technical stakeholders. Work with data teams to ensure data integrity and reliability. Desired Qualifications: Bachelor’s degree in a related field; Master’s degree is a plus. 2–4 years of hands-on experience as a Business Analyst or Data Analyst. Proficiency in SQL and Excel. Experience with Google Analytics, GTM, and other tracking/analytics tools. Familiarity with A/B testing and statistical methods. Strong verbal and written communication skills. Working knowledge of data infrastructure and database systems is a plus. Experience in SaaS or E-commerce domain will be an added advantage. Perks of Joining Silvermine: Innovative Work: Build impactful products for the US E-commerce and SaaS market. Career Growth: Opportunity to learn and grow in a dynamic, fast-paced environment. Collaborative Culture: Work in a team-oriented, mentorship-driven environment. Hybrid Work Model: Flexible work-life balance with part-remote options. Comprehensive Benefits: Health insurance, retirement benefits, and more. Recognition & Rewards: Annual bonuses and spot awards for outstanding performance.

As the Analytics Manager, you will oversee the end-to-end delivery of insights across Silvermine's product suite including eForm2290, eMCS150, and Truckopedia. You'll lead a multidisciplinary team, define the analytics roadmap, and establish robust data practices that inform strategic and tactical decisions. KEY RESPONSIBILITIES: - Lead and mentor a cross-functional analytics team supporting product, business, marketing, and CX. - Collaborate with functional leads to align analytics projects with business OKRs. - Own and evolve the KPI frameworks for products and business performance. - Ensure high quality and consistency of dashboards and reports. - Coach and manage a team of analysts, fostering growth and delivery excellence. - Drive adoption of analytics tools and self-serve capabilities within departments. - Translate business problems into data-driven solutions. - Drive analytics roadmap, improve data governance, and coordinate with Data Engineering. - Represent analytics in leadership meetings and decision-making forums. PREFERRED QUALIFICATIONS & REQUIRED SKILLS: - 8+ years of analytics experience with at least 2 years in a managerial/lead role. - Proficiency in SQL, Python, Power BI/Tableau/Metabase, GA4/Any other web analytics tools. - Experience with web analytics and A/B testing frameworks. - Understanding of marketing attribution and user segmentation. - Exposure to data governance and quality checks. - Familiarity with compliance, SaaS, or transactional web products is a strong plus. - Strong communication skills, business acumen, and stakeholder management. PERKS OF JOINING: The Culture: most companies talk about their values, we live them. - Supportive Culture: We value teamwork, mentorship, and professional development, and we show it by providing top-notch employee experience and training programs, and incentivizing team growth. - Work-Life Balance: We support a hybrid work model and encourage our employees to create a healthy balance between personal and professional life. - Rewards and Recognitions: Competitive compensation, annual and spot bonuses, and a focus on recognizing hard work with well-earned rewards are part of our DNA. Innovative Work: Contribute to cutting-edge solutions for e-commerce and SaaS businesses

Strong background in SQL, Python, R, Tableau/ Google analytics/Power BI Exp working on metrics such as retention, churn, engagement and marketing analytics. Excellent visualization skills Mail us- info@a1selectors.com

We are seeking a skilled Data Analytics professional who has a strong foundation in data analytics, experience working with large datasets, and expertise in analyzing operational performance and business metrics. Desire Skills & Experience Any Graduate/ Post-Graduate who holds experience into data analytics domain. 6+ years of experience in data analysis, preferably within a BPM, or voice process environment. Proven experience in analyzing operational metrics. Proficiency in data analytics tools and platforms such as SQL , Excel . Experience with scientific analytics tools like Python , R , or SAS for statistical analysis and model development. Competent with data visualization tools such as Tableau or Power BI . Knowledge of statistical techniques, including regression analysis, hypothesis testing, clustering, and machine learning. Strong analytical thinking and problem-solving skills. Excellent organizational skills, attention to detail, and ability to manage multiple tasks simultaneously.

1-2 years of experience working as a data analyst or in a related role Strong proficiency in Python for data analysis (pandas, numpy, matplotlib/ seaborn) Familiarity with SQL for querying databases Experience with data visualization tools such as Power BI, or Tableau Good spoken and written English skills Job Responsibilities Data Cleaning & Preparation Collect, clean, and prepare structured and unstructured data from various sources Handle missing values, outliers, and data formatting issues Data Analysis Perform exploratory data analysis (EDA) to extract insights and trends Work with large datasets to support research and project goals Apply statistical techniques for hypothesis testing and inference Reporting & Visualization Build dashboards and reports to communicate findings effectively Present insights in a clear and compelling manner for internal and external stakeholders Collaboration Work closely with project managers, developers, and education researchers Translate research questions into data-driven analyses and solutions Code Quality & Documentation Write clean, reproducible scripts and notebooks Maintain proper documentation of data sources, workflows, and results Use Git for version control and collaborative development Learning & Improvement Stay updated on current trends and tools in data science Continuously enhance skills through learning and experimentation Job Category Research

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Key Responsibilities: Build, test, and deploy machine learning models for predictive and prescriptive analytics Strong proficiency in Pythonand its data science libraries Hands-on experience with machine learning frameworks Solid understanding of statistical analysis, probability, and hypothesis testing. Experience with data visualization tools (e.g., Tableau, Power BI, or Python-based tools). Proficiency in working with databases(SQL and NoSQL) and querying large datasets. Requirements Qualifications External To be successful in this role you should meet the following requirements: Bachelor s degree in computer science engineering or related field. 12+ years of experience in IT. Build, test, and deploy machine learning models for predictive and prescriptive analytics Proficiency in working with databases(SQL and NoSQL) and querying large datasets. Familiarity with data preprocessing techniques, feature engineering, and model evaluation. Strong problem-solving skills and the ability to work with unstructured data. Excellent communication skills to convey technical concepts to non-technical stakeholders. Knowledge of cloud platforms(AWS, Azure, GCP) and their data services. Familiarity with APIsand integrating machine learning models into production systems. Experience with time-series analysis, natural language processing (NLP), or computer vision. Knowledge of DevOps/MLOps practicesfor deploying and monitoring models You ll achieve more when you join HSBC. HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working, and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Job Description The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region. Roles & Responsibilities: Partner with senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyze data, define problem statements and identify KPIs for decision-making Apply statistical analysis, regression modelling, clustering, segmentation, etc. to uncover trends and drivers in the data Conduct portfolio analyses to optimize resource allocation, product positioning and investment strategies Partner with senior analysts to design & implement test designs to evaluate effectiveness of marketing campaigns, pricing strategies, or other business initiatives. Partner with senior analysts to develop measurement frameworks and KPI dashboards to monitor business performance and provide actionable insights to stakeholders Collaborate with stakeholders to understand business objectives and translate them into projects and actionable recommendations With senior analysts prepare reports and visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Stay up-to-date with industry trends, emerging methodologies, and best practices related to statistical analysis, optimization and decision support Skills and Competencies: Strong analytical thinking and problem-solving skills with a working knowledge of statistical analysis, optimization techniques and decision support models Strong understanding of experimental design, hypothesis testing and A/B testing methodologies Solid ability to present complex information to non-technical stakeholders in a concise manner Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously Strong attention to detail and ability to work with large datasets to ensure accuracy and reliability of analysis Strong project management skills and the ability to work independently or as part of a team Strong business acumen and the ability to translate analytical findings into actionable insights and recommendations Experience: We welcome a bachelors or masters degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Proven experience (typically 1 to 3 years) in a decision analysis, statistical modeling, or optimization role, preferably within the biopharma or pharmaceutical industry. Experience working with large datasets, statistical software packages (e. g. , R, SAS, Python) and data visualization tools Experience with descriptive/explanatory models, regression modeling, clustering, segmentation and portfolio analysis Familiarity with the biopharma industry, including market dynamics, regulatory requirements and healthcare data sources Certification or training in decision analysis, statistical modeling or related If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Manager Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. Its everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and were looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how todesign & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualification Skillset : Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 7+ years of Hands-on Data science experience in solving real life complex business problems Minimum 3 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.