163 Hypothesis Testing Jobs - Page 6

Service Manager-Process Excellence for Mumbai Exp: 5-8 Years Location : Mumbai 05 Days Week (Both Side Transport) Preferred Skills Set : Hands on experience of mentoring and doing Green Belt /Black Belt Six Sigma Project and should have knowledge with DMAIC Methodology, Hypothesis testing, RCA, QC tools, FMEA, MINITAB, Continuous improvement, Process improvement, Lean Six Sigma Service Manager-Certified Green belt- Business Excellence(Quality) The Ops & Quality Service Manager supports aligned BU business partners in effectively managing and improving operational performance & in meeting their productivity goals through a culture of continuous improvement. High Level Responsibility area Facilitates / Leads improvement projects based on Lean / Six Sigma methodology. Provides analytics support to Business Leaders both onshore and offshore. Drives a continuous improvement culture Manages the innovation/ idea generation platform MERCURI Facilitates Process Improvement trainings Supports the business with Quality/Operational excellence initiatives. Responsibilities: Understand business processes, analyze data trends and share recommendations with stakeholders Showcase / share skill set & Quality service offerings with stake holders Analyze data on key client operational metrics to understand opportunity for improvement Learn and understand the domain / business to help define process metrics Map processes to identify non-core activities and suggest alternatives and thus help remove waste Facilitate / lead brainstorming sessions in a structured problem solving approach to identify improvement areas, support in measuring improvements and quantification of savings Actively listen and understand stakeholder expectations and requirements to support them in meeting their business objectives Be flexible to changes & continuously evaluate to adapt to the culture of the organization Understand and own development needs in consultation with the manager and work to achieve development goals Liaison with North America Ops & quality counterparts and other stakeholders to drive collaboration and team work Deliver Lean trainings for Band 3-5 colleagues Deliver need based trainings on Problem solving, Quality concepts & tools Mentors colleagues within the Business Unit on client knowledge / Process knowledge / Tools knowledge Identify Failure modes and help in establishing process controls Design and develop metrics for accurate measurement of work performance Baseline metrics and monitor performance Provide advance data Analytics as per Business Unit / Process requirements Identity opportunities for capacity creation Facilitate / lead capacity creating projects in alignment with the productivity goals of stakeholders Support business to create year on year efficiencies Support transition of new processes, Map processes, create metrics, and consult the business on setup and design of Quality Assurance processes Use Six Sigma and Lean tools as required Facilitate / Lead projects on Quality and operational excellence using Six Sigma /Lean/ Project Management methodologies Develop project roadmaps for assigned projects with minimal or no mentoring support Acts as a program manager for BU specific or division level programs Education: Graduate in any stream Green Belt/Black Belt certified Required Experience 5+ years of work experience Total work experience of 5 years or more (after Graduation in any discipline) Relevant / industry work experience of 3 years or more Maximum experience should not exceed 8 years. Hands on experience of mentoring and doing Green Belt /Black Belt Six Sigma Project Experienced in managing multiple project teams simultaneously Preferred Experience: Training and Facilitation Skills and experience Excellent oral, written, cross functional and interpersonal communication skills. Learning ability with customer orientation and a keen eye for process improvement Exposure to COPC, ISO, TQM, Project Management and other Quality methodologies/systems Knowledge of Minitab Knowledge of Access Good knowledge of MS Excel, Power Point and MS Visio Note : Looking for Immediate joiner only or who can join within 15-20 days. Interested candidates can share their CV's at Sandeep.sharma72@wipro.com with Subject line-Service Manager-Process Excellence for Mumbai

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What You’ll Bring A master’s degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). A proficiency in at least one programming language (e.g., Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English. Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Job Title: Data Scientist Job Location: Gurgaon Educational Qualification B.E / B.Tech with Minimum 60 % marks BSC Mathematics/ Data science Experience: 4-7 Years Responsibilities: Design data-driven solutions to address business challenges. Acquire specialized knowledge in the automotive domain relevant to the problem at hand, seeking expertise from domain specialists as needed. Gain proficiency in the vehicle s IoT device, specifically the Telematics Control Unit. Develop a comprehensive understanding of Time-Series Data. Clean, prepare, and manage datasets for modelling, engaging in the ETL process when necessary. Conduct data exploration to extract insights, present findings to domain experts, identify patterns, seasonality, trends, and causality, and collaborate with domain experts to formulate and test hypotheses. Devise and refine features, evaluate their significance, and determine the machine learning strategy. Engage in data modelling, select suitable machine learning or deep learning algorithms, establish data pipelines for training, perform hyper-parameter optimization, and conduct validation and testing. Implement ensemble techniques if beneficial. Interpret and visualize data through reports and graphical plots. Provide guidance and mentorship to junior data science professionals. Technical Skills / Experience Essential Qualifications: A minimum of 4 years of industry experience in data science. Proficiency in Python programming with experience in pandas , NumPy , matplotlib , and sklearn libraries. Competence in statistical analysis , including descriptive, inferential statistics, and hypothesis testing. Practical experience in mathematical modelling and a variety of machine learning techniques, such as: o Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. o Econometric analysis. o Deep Learning models including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). o Unsupervised learning algorithms and image classification using computer vision. Proven track record of successful model deployment. Desirable Qualifications: Experience with accident simulation tools such as PC crash or OPENPass . Familiarity with time-series and IoT data analytics. Familiarity with LLMs Knowledge of automotive systems, vehicle fundamentals, and Controller Area Network (CAN) protocol

Data Scientist (US Value & Access Insights) What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities Ability to work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives Ensure models are trained with the latest data and meet the SLA expectations Act as a subject matter expert in solving development and commercial questions Work with a global cross functional team on the AI tool’s road map Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Model/analytics experiment and development pipeline leveraging MLOps. Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights. Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR Bachelor’s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience Experience with one or more analytic software tools or languages like R and Python Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Preferred Qualifications: Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Professional Certifications : Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems. Skilled in breaking down problems, documenting problem statements, and estimating efforts. Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Data Scientist Chennai - Guindy, India Information Technology 17006 Overview Data Scientist job description typically involvescollecting, cleaning, analyzing, and interpreting large datasets to uncover insights and build predictive models.He should use data visualization tools to present findings, make recommendations, and communicate their work to stakeholders. Responsibilities Data Collection and Preparation: Gather data from various sources, clean and preprocess it, and transform it into a usable format for analysis. Data Analysis: Conduct exploratory data analysis (EDA), identify patterns and trends, and use statistical methods to extract meaningful insights. Model Building: Develop and implement machine learning algorithms and predictive models to solve business problems. Data Visualization: Create clear and informative visualizations to present findings and communicate insights to stakeholders. Communication: Clearly communicate findings, recommendations, and the implications of data-driven decisions to both technical and non-technical audiences. Problem Solving: Identify business problems, develop data-driven solutions, and evaluate the effectiveness of proposed solutions. Requirements Programming: Proficiency in languages like Python and R, as well as familiarity with data manipulation libraries (e.g., Pandas, NumPy). Statistics and Probability: A strong foundation in statistical concepts, probability distributions, and hypothesis testing. Machine Learning: Knowledge of various machine learning algorithms, model selection, and evaluation techniques.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Data Science Manager Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence 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. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with non linear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Azure/ Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working knowledge of MMM optimizer and its intricacies Awareness of MMM application development and backend engine integration will be preferred Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her Manage client relationships and expectations, and communicate insights and recommendations effectively Capability building and thought leadership Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualification Who we are looking for 5+ years of work experience in consulting/analytics with reputed organization is desirable. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment 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.

Intern - Market Research The Internship Program at our company features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Human Health division can provide you with great development and a chance to see if we are the right company for your long-term goals. The program allows students to work on one or more market research projects within our Companys Human Health Commercial division. These opportunities are designed to facilitate the transition from academia to industry for soon-to-be graduates and will involve participation and contribution in real projects being carried out by our company s market research team. This is also a way for you to identify if our company may be the right company for your long-term career goals. These positions are typically 3-6 months long and have various start dates throughout the year. Most of the projects will involve analyses in support of our companys commercial objectives. In collaboration with the Team Leader, the Intern will manage all aspects of primary market research including: Framing business questions to support team strategy Developing research/analysis plans Drafting requests for proposals and articulation of the hypotheses to be tested Selecting appropriate agency partners Managing the research process to deliver an objective understanding of customers, competitors, products and market developments Adhering to compliance requirements Managing budgets and modifies plans/budgets as changing business needs warrant Required Education and Skills: Candidates must be currently enrolled in bachelor s / master s / PhD degree program in a Quantitative discipline such as: Data Science, Statistics, Mathematics, Physics, Economics, Computational Biology, Engineering, Management or other relevant discipline Candidates must be expected to graduate in the next 1-2 years Candidates must have demonstrated ability to problem solve independently on complex marketing and analytics projects Candidates must have an interest in supporting pharmaceutical data, research and analytics initiatives like segmentation & targeting, positioning, brand launch strategy Able to strike a balance between methodological rigor and project timelines Preferred Experience and Skills: Candidates must have familiarity with one or more of: business research methods, statistics, sampling, confidence interval, hypothesis testing, ethnography, qualitative research, applied behavioural insights Good understanding of brand life cycle, basic marketing strategy Candidates should be effective oral and written communicators Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Employee Status: Intern/Co-op (Fixed Term) Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Analysis, Marketing, Researching, Stakeholder Relationship Management, Supplier Management, User Research, Waterfall Model Preferred Skills: Job Posting End Date: 06/3/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting- Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About SC - Global Network :- Accenture Applied Intelligence 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. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for Analyst with 2+ years Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. 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 :- Strategy & Consulting- Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence 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. WHATS IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for? Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. 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 :- Delhi, 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 everythingfrom 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. 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 Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., 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. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Qualification 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 (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. 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 in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. 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

Job Requirements Education: Bachelors degree (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Masters degree preferred (MBA/MS/M.Tech in Computer Science or related field) Experience: 5–7 years in a Data Science/Advanced Analytics role Behavioral Skills: Delivery Excellence Business Orientation Social Intelligence Innovation and Agility Knowledge & Technical Skills: Functional analytics experience (Supply Chain, Marketing, Customer Analytics, etc.) Statistical modeling using tools such as R, Python, KNIME Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Experience building and evaluating machine learning models MLOps tools and practices (MLflow, DVC, Docker, etc.) Strong Python programming (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Experience with big data technologies (AWS, Azure, GCP, Hadoop, Spark) Familiarity with relational (MySQL, SQL Server) and non-relational (MongoDB, DynamoDB) databases BI and reporting tools (Power BI, Tableau, Alteryx) Proficiency with Microsoft Office applications (especially Excel) Roles & Responsibilities Analytics & Strategy: Analyze large-scale structured and unstructured data to develop insights and machine learning models across various business domains Apply statistical and machine learning techniques to generate value from operational, financial, and customer data Recommend best-fit algorithms and models with clear justifications for business use Leverage cloud platforms for modeling and big data analysis; utilize data visualization tools to communicate results Operational Excellence: Follow industry-standard coding practices and development lifecycles Formulate hypotheses, develop analytics frameworks, and bring structure to complex problems Collaborate with Data Engineering to maintain core data infrastructure and automate analytical processes Stakeholder Engagement: Work cross-functionally with business stakeholders, engineers, and visualization experts to deliver impactful projects Communicate complex models and results to non-technical stakeholders in a clear and compelling way

Job Title: Analyst Job Location: Remote- WFH Base Location- Bangalore Please find the skillsets below and send us quality profiles on regular basis. Headcounts : 1 Must-Have: 5-8 years experience in Data Science, Machine Learning, NLP, LLM, Prompts, A/B Testing, Hypothesis Testing, Python, SQL, PowerBI, Statistical & Descriptive Analysis Good to Have : Google Analytics, Product Metrics (Conversion Rate, Retention, LTV, Unit Economics) Qualification: B.E/ B.Tech or Bsc + Msc Statistics Work mode : Remote Note : Candidates must be willing to work from 4pm/5pm to midnight weekly twice or thrice based on business requirements. Also Hiring Manager for this role sits in Ukraine. Interview Process: Recruiter screening- 30 mins Screening round- 30 mins- India Panel Technical 1- 60 mins- Ukraine Panel Technical 2- 60 mins- US panel Competency round- 60 mins- US panel Value & Fitment round- 30 mins What You'll Do • Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from deep dives into specific areas of our business. • Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business. • Package and communicate findings and recommendations to a broad audience (including senior leadership) • Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends. • Perform advanced modeling including (NLP, Text mining) would be preferable. • Implement and track business metrics that will help drive the business. • Help determine growth strategy from a marketing and operations perspective. • Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand JA audience and guide informed strategic decisions & executions. What Were Looking For • 5-8 years of experience in e-commerce/customer experience products • Proficiency in analysis and business modeling using Excel. • Experience with Google Analytics, BigQuery, Google Ads, PowerBI, and Python / R would be a plus. • Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer. • Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis • Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results. • Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills. • Ability to communicate effectively with all levels of management and partners from a variety of business functions. • Advanced English level • App-related experience would be preferable.

Job Summary PayPals GFP Fraud Risk team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, seller fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Risk Business Intelligence (BI) team. The BI team addresses key strategic and critical business initiatives. It partners with leaders to develop business cases for potential investments. The team also provides insights and recommendations to ensure smooth execution with cross-functional partners. Job Description Your day to day - High proficiency in technical / data-mining skills and working knowledge of dealing with large volumes of data using tools such as SQL, Python in GCP BigQuery/Hadoop environment. Ability to identify trends, patterns, and anomalies in large datasets and strong critical thinking to derive actionable insights from data. Expertise to perform storytelling with data and insights, drive key business decision-making Expertise in A/B testing, hypothesis testing, and statistical significance in supporting initiative and program focus. Experience with business segmentation, customer experience and churn analytics, business growth evaluation. Design, build and maintain dashboards and data visualization through tools like Tableau, Power BI, and Looker. Expertise in predictive modelling, regression, and time-series analysis Ability to translated technical findings into business recommendations and working with business partners to implement. Attention to details and ensuring work outcome accuracy and reliability What do you need to bring- Master s degree in related field and 10+ years related professional work experience (Data Science, Computer Science, Statistics, Business Analytics, Operations Research, etc.) 5+ year of experience as people manager Understanding of Fraud/Credit risk in the financial industry, experience with Payment risk preferred Good time and program management, can handle multiple projects or action items at the same time with challenging deadlines. Well-developed research and analytical skills with good problem solving and lateral thinking ability Working knowledge of SQL, Python, or other programming languages. Experience with GCP Big Query, Hadoop environment Excellent verbal and written communication skills with the ability to articulate concepts and ideas to diverse audiences.

Job Summary: PayPals GFP Fraud Risk team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, seller fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPals bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Risk Business Intelligence (BI) team. The BI team addresses key strategic and critical business initiatives. It partners with leaders to develop business cases for potential investments. The team also provides insights and recommendations to ensure smooth execution with cross-functional partners. Job Description: Your day to day - High proficiency in technical / data-mining skills and working knowledge of dealing with large volumes of data using tools such as SQL, Python in GCP BigQuery/Hadoop environment. Ability to identify trends, patterns, and anomalies in large datasets and strong critical thinking to derive actionable insights from data. Expertise to perform storytelling with data and insights, drive key business decision-making Expertise in A/B testing, hypothesis testing, and statistical significance in supporting initiative and program focus. Experience with business segmentation, customer experience and churn analytics, business growth evaluation. Design, build and maintain dashboards and data visualization through tools like Tableau, Power BI, and Looker. Expertise in predictive modelling, regression, and time-series analysis Ability to translated technical findings into business recommendations and working with business partners to implement. Attention to details and ensuring work outcome accuracy and reliability What do you need to bring- Master s degree in related field and 10+ years related professional work experience (Data Science, Computer Science, Statistics, Business Analytics, Operations Research, etc.) 5+ year of experience as people manager Understanding of Fraud/Credit risk in the financial industry, experience with Payment risk preferred Good time and program management, can handle multiple projects or action items at the same time with challenging deadlines. Well-developed research and analytical skills with good problem solving and lateral thinking ability Working knowledge of SQL, Python, or other programming languages. Experience with GCP Big Query, Hadoop environment Excellent verbal and written communication skills with the ability to articulate concepts and ideas to diverse audiences. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Strong experience in Python 2+ years experience of working on feature/data pipelines using PySpark Understanding and experience around data science Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice Experience with statistical models e.g., multinomial logistic regression Experience of technical architecture, design, deployment, and operational level knowledge Exploratory Data Analysis Knowledge around Model building, Hyperparameter tuning and Model performance metrics. Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Good To Have: Experience researching and applying large language and Generative AI models. Experience with LangChain, LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks Able to provide analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Knowledge on Docker and Kubernetes. Generate actionable insights for business improvements. Ability to understand business requirements. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug applications to ensure optimal performance. Write unit test cases Collaborate with cross-functional teams to define and deliver new features Use case derivation and solution creation from structured/unstructured data. Actively drive a culture of knowledge-building and sharing within the team Experience applying theoretical models in an applied environment. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing)

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

POSITION: Senior Analyst, Advanced Analytics The Mediabrands Insights team is look for an individual who has an interest in data analysis and econometric modelling. Working across a wide variety of accounts, you will be part of a team that analyses client data and makes media mix recommendations that will increase topline business performance and ROI. This position will work closely with team members across multiple disciplines such as media planning and investment, research, and strategy. Reporting to the Analytics Manager, you will be contributing in various stages of the project, from data gathering and processing, analyzing the data using excel, through to running sophisticated econometrics in our proprietary analysis and optimization software. About the role: The successful candidate in this position will have experience with statistical models, the curiosity to search for new answers to old problems, the desire to be part of a team of data science professionals, and the ability to collaborate with cross-functional team members seamlessly. The media environment is fast-paced and always evolving; we are looking for dynamic candidates who can adapt quickly and enjoys working across a diverse client portfolio. Responsibilities: Work collaboratively with team of analysts to deliver marketing analytics projects for our clients Contribute to end to end modeling projects including: Data Collection & Processing Modeling Quality checks Optimizations Able to roll-up sleeves and contribute to data clean-up, modeling, insights generation and slide creation Pick up new methodologies, business terminologies quickly Contribute to client presentations to communicate, present and evangelize the results to our clients and agency partners Qualifications: Post-secondary education University graduate and/or quantitative background preferred 2+ years of experience in a modeling OR modeling management role preferably in the marketing domain Excellent written and verbal communication skills Prior project management experience is preferred (but not necessary) Knowledge of basic statistics (R-square, MAPE, Hypothesis testing) required Ability to quickly pick up nuances of the business and adapt to business needs Ability to handle multiple projects synchronously Knowledge of coding preferred but not required Marketing background preferred but not required IPG Mediabrands is an equal opportunity employer and we welcome and encourage applications from all interested parties. Accommodations are available, upon request, for those with a disability or medical need during any stage of the recruitment process. We thank all candidates for their interest in IPG Mediabrands, however, only those candidates selected for an interview will be contacted

Engineer ML About the role The mission of the team is to transform terabytes of data into robust models for improving Network Experience and Customer Experience and reducing Operational Expenditure. Candidate will be required to understand the different Datasets being supplied from different sources and design a production grade big data architecture for Reporting and Analytics Platform. He will be involved in developing in-house algorithms as per Business Requirements. He will also be involved in vendor reviews of solution designs and related code on the principle of adherence to high-quality development principles while delivering solutions on time and on budget. Key Responsibilities Develop best quality software design and Big Data architecture for a Product that is being migrated to Big Data Platform from MYSQL based architecture. This product is spread across dimensions of big data, analytics, machine learning, graph problems, etc. The person is responsible to design and develop systems that use machine learning, or AI, to build models that can automate processes. They use data to create models, perform statistical analysis, and train systems to improve performance. Identify, prioritize and execute tasks in the software development life cycle. Develop tools and applications by producing clean, efficient code, automate tasks through appropriate tools and scripting. Review and debug code and perform validation and verification testing Collaborate with internal teams and external vendors to fix and improve current Architecture that helps to improve software development process and team productivity. Document development phases and monitor systems. Guide daily DevOps and ensure timely hardware expansions or architecture revamp. Provide statistical analysis to develop, test, and optimize databases to their full potential. Ensure software is up-to-date with latest technologies. Review Vendor Codes and solution designs for on-time deployment. Experience & Skills Must have experience in Machine Learning and experience in machine learning frameworks like TensorFlow or PyTorch. Knowledge of selected programming languages (e.g. Python, JAVA, Scala Python, C++) In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB or Hadoop) Hands-on experience working with Big Data technologies like Hadoop, MongodB, Hive, Pig, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc. Extensive experience in software design, development and scripting. Experience with real-time streaming tools like Apache Kafka and NiFi is a plus. Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project. ( Spark, Kafka, Kstream/Flink) Very strong analytical skills with the demonstrated ability to research & make decisions based on the day-to-day and complex customer problems Understanding of HTTP and RESTful web services is a plus Experience with version control tools (SVN or Git). Educational Qualifications: Bachelor's or Master's Degree in Computer Science or related field; or equivalent related professional experience Work Experience: 1-7 years of total experience preferably in Big Data

Role Data Scientist LocationBangalore TimingsFull Time (As per company timings) Notice Period(Immediate Joiner Only) Experience5 Years We are looking for a highly motivated and skilled Data Scientist to join our growing team The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and business decision-making. Work with both structured and unstructured data to extract valuable insights and patterns. Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis. Design and build data pipelines for streamlined data processing and integration. Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities. Partner with cross-functional teams to embed data-driven strategies into core business operations. Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders. Stay abreast of the latest ML/AI innovations and industry best practices. Required Skills & Qualifications 5 years of proven experience in Data Scientist and machine learning. Proficient in Python and key data science libraries. Experience with ML frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of SQL and relational databases. Solid grounding in statistical analysis, hypothesis testing, and feature engineering. Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly. Demonstrated ability to work with large datasets and solve complex analytical problems. Excellent communication and data storytelling skills. Knowledge of Marketing Mix Modeling is a plus. Preferred Skills Hands-on experience with cloud platforms like AWS, Azure, or GCP. Exposure to big data technologies such as Hadoop, Spark, or Databricks. Familiarity with NLP, computer vision, or deep learning. Understanding of A/B testing and experimental design methodologies. Show more Show less

Hybrid - Bengaluru Full time Permanent Position Must have skills required : SQL, product metrics, Data-Driven, Analytical Skills, Hypothesis testing, data-backed goals Good to have skills : Python, B2B SaaS, Data Engineering Read about the release here: Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. Role Overview: We are seeking a Product Analyst to take ownership of key metrics, reporting, and experimentation within Nanonets. Working directly with our founders, this role involves goal setting, tracking, and prioritizing features based on metrics-driven insights. As a Product Analyst, youll be critical to helping teams set data-informed goals, clarifying the key metrics that drive success, and enabling a hypothesis-driven approach to product development. Key Responsibilities Metrics Ownership: Manage and report on company metrics, setting measurable goals and tracking progress against them. Outcome Definition: Help teams define data-backed goals and establish measurable outcomes, ensuring efforts align with strategic company objectives. Input Metrics Clarity: Identify and communicate the key levers that drive output metrics, providing teams with actionable insights. Hypothesis-Driven Development: Build systems that support hypothesis testing through product features, creating, running, and measuring A/B tests and experiments to validate customer behavior hypotheses. Product Development Optimization: Partner with product teams to establish high-quality goals, focus on the most impactful metrics, and support agile development based on data-driven decision-making. What Were Looking For Education : Bachelors degree preferable from a Tier 1 college. 2- 4 years of relevant experience, such as Data Analyst or Product Analyst, ideally within a B2B SaaS company. Technical Skills : Proficiency in SQL (required). Strong analytical skills and understanding of key product metrics. Willingness to learn Python and enhance data engineering skills. Robust product sense, with the ability to interpret and act on data for feature prioritization. Mindset : Curious, experiment-driven, and eager to tackle complex product challenges through data. Comfortable scrapping or iterating on underperforming features based on data.

We are seeking Data Analysts to be part of our GSS DaaS team who will support Uber s internal Operations teams across the globe and drive the analysis behind various business-related decisions. You will work along with the Program Managers and the Client team to put together processes and deliver on the requirements. For this role you need to be comfortable with numbers, good with logical reasoning and generating insights. What the Candidate Will Need / Bonus Points You will perform a range of activities to analyze Uber s Delivery, Mobility Core Services data sources to improve business efficiency effectiveness and deliver qualitative insights as well as partnering with Operations teams to build analytics solutions. The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. The following describes what you may be doing day-to-day: Embed within Uber s Ops team and develop expertise around all aspects of their data Deep dive into historical data to understand their sources, feature sets and identify patterns Write queries, perform ad-hoc analysis and create reporting to ensure the team is moving towards smarter decisions Perform analytical deep dives to drive product/strategy road-map Build interactive and visually appealing dashboards using data visualization tools such as Tableau, or Looker. Translate analytical solutions into useful insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way Get pumped up by deciphering huge data sets and cutting through irrelevant distractions to get to the heart of the core data questions Attention to detail, accuracy is a must! Humble and scrappy - not afraid to take on lower level projects when it will clear roadblocks for the team Demonstrate good documentation practices and able to meet deadlines Basic Qualifications Minimum 3 years experience working in business intelligence, analytics, data engineering, or a similar role Ability to write complex SQL queries including experience working with large data sets and Hive database Ability to code in Python for setting up Automations Data pipelining / ETL experience Fluency in communicating data insights (Methods, Results Actions) with the peer group Team player and able to multitask Ability to work with remote teams and within the Australia time zone Able to raise the bar for quality/efficiency within the team Preferred Qualifications BS / Masters in Maths, statistics, science or any other quantitative discipline Expertise in Statistical Data Analysis and Hypothesis Testing *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Technical Skills: Advanced proficiency in Python . Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in Microservices based architecture Domain Expertise: Strong mathematical foundation in statistics, probability, linear algebra, and optimization Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and monitoring Professional Competencies: Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Must Have : Microservices LLM, Python, FastAPI, Vector DB(Qdrant, Chromadb, stc), RAG, MLOps & Deployment, Cloud, Agentic AI Framework, Kubernetes, Architecture & Design Secondary Skills - Data science, ML and NLP Required Skills Artificial Intelligence,Machine Learning,Data Analysis

Key responsibilities Work closely with the broader team do define and execute EDA road map Integrated solution for business based on data driven insights and strategies. Perform advance Statistical and Machine learning modelling exercise to develop descriptive/ predictive/ prescriptive models Perform data visualization and reporting for effective communication of insights generated by modelling exercises Develop basic database queries for data extraction Ability to communicate models and analysis in a clear and precise manner. Promote new learning and technique in the field of Data Science and its application in Insurance. Perform peer reviews and ideation sessions. Experience & Qualifications Bachelor and/or Masters in Statistics/Economics/Operations Research from Tier 1 colleges. Experience of 7-10 years of data science experience with alteast 4-6 years of experience in life insurance experience in model development, validation, and implementation with atleast 4 years of Insurance Experience Hands-on experience with R and/or Python for hypothesis testing, statistical modelling and Machine learning. Actuarial Exams is a plus Proven track record on algorithm development for business problems. Understanding of common algorithms like GLM, Decision Trees, Random Forests, XGBoost and Time Series Excellent communication and interpersonal skills, with the ability to explain complex algorithms to nontechnical stakeholders.

Experience Range : 5 - 10+ Year's Work Location : Bangalore Must Have Skills : Pandas, Hypothesis testing, A/Btesting, feature engineering, statistical analysis, Machine Learning, NumPy, Python, SQL Good To Have Skills : Databricks Job Description : Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5 years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering . Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design .

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 2-5 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.