162 Hypothesis Testing Jobs

Are you passionate about harnessing the power of artificial intelligence to transform decision-making under uncertainty Do you aspire to develop innovative algorithms that can offer robust and reliable recommendations for critical real-world problems If your academic ambitions lie at the intersection of symbolic AI, optimization, and statistical reasoning, this PhD position at TU Delft could be your gateway to cutting-edge research and impactful career opportunities. Strong and confident decision-making is at the core of many societal and engineering challenges today. Yet, the complexity and uncertainty inherent in real-world systems often make it difficult to ascertain which variables truly influence outcomes. This PhD project invites you to leverage advanced combinatorial and algorithmic methods to identify these critical parameters, thus enabling more robust, data-efficient, and reliable decision-making processes. Delft University of Technology (TU Delft) is one of Europe's premier technical universities, renowned for its pioneering research, high-impact innovation, and vibrant academic community. Located in the historic city of Delft, the university boasts a strong tradition in engineering, science, and design, with a global reputation for excellence. TU Delft has been at the forefront of groundbreaking advancements, from the world-famous Dutch waterworks to state-of-the-art biotech and digital technologies. As a PhD candidate at TU Delft, you will join a diverse and international research environment, collaborating with leading experts and contributing to solutions for some of society's most pressing challenges. The focus of this PhD position is on Symbolic AI and Reasoning Under Uncertainty, with a particular emphasis on sensitivity analysis for decision-making models. In contemporary applications, algorithms generate recommendations based on complex models with numerous input parameters. However, determining which of these inputs genuinely drive the outcomes is crucial for resource allocation, contingency planning, and ensuring the robustness of decisions. Traditional sensitivity analysis often relies on computationally intensive simulations, which may overlook significant variables. This project proposes a paradigm shift: employing logic-based and structural methods to formally identify critical parameters. By exploiting the structure of logic problems, the research aims to deliver formal guarantees on robustness, reduce computational costs, and improve the reliability of decision-support systems. This approach holds immense promise for fields such as engineering, policy-making, and societal infrastructure, where robust and explainable AI is essential. As a PhD candidate, you will be part of the Algorithmics section within the Software Technology (ST) department at TU Delft, collaborating closely with the Statistics section of the Delft Institute of Applied Mathematics (DIAM). The project is supervised by a distinguished team: dr. ir. Sicco Verwer (promotor), dr. Fabian Mies, and dr. Anna Latour (co-promotores). Your research will build upon and expand knowledge in modeling and solving paradigms such as Boolean Satisfiability, Constraint Programming, and Mixed-Integer (Linear) Programming. You will also develop methods for reasoning about discrete probability distributions, sampling complex spaces, and statistical analysis. The role involves collaboration with other researchers and software engineers to create practical tools for both academic and societal stakeholders. You will disseminate your findings through publications and presentations at leading conferences and journals, providing excellent opportunities for international networking and professional growth. The Algorithmics section is a dynamic, diverse environment where PhD and postdoc researchers work together on theoretical and algorithmic contributions to intelligent decision-making. The group addresses challenges including scalability, model learning for planning and verification, and the integration of stakeholder preferences into algorithmic processes. TU Delft's interdisciplinary ecosystem further enhances your research experience, with opportunities to engage in cross-faculty initiatives addressing topics such as climate change, energy transition, and artificial intelligence. Applicants should possess a Master's degree in Computer Science, Operations Research, or a related field (required by the Graduate School of TU Delft), proficiency in the English language, demonstrable knowledge of reasoning paradigms such as Boolean Satisfiability, Constraint Programming, or Mixed Integer (Linear) Programming, programming skills in languages such as Java, Python, or C++, solid understanding of statistics and probability theory, excellent critical and analytical thinking skills, a proven record of and interest in further developing research skills, including self-organization, academic writing, and a critical attitude, strong enthusiasm for state-of-the-art algorithmic and optimization techniques, especially their application to decision-making, affinity for teaching and mentoring students, and ability to work effectively in a team and take initiative. This position is ideal for candidates who are passionate about symbolic AI, optimization, statistical reasoning, and who are eager to contribute to the advancement of robust decision-making methodologies. If you are driven to make a meaningful impact on decision-making methodologies and thrive in a collaborative, interdisciplinary environment, we encourage you to apply for this PhD position at TU Delft.,

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - 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, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, 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 problem-solving - 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 At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As a member of the Optum Global Analytics Team at United Health Group, you will be involved in developing advanced analytics solutions across various verticals to enhance health outcomes and drive business growth. Your work will directly impact health equity on a global scale by connecting individuals with the care, pharmacy benefits, data, and resources necessary for improved well-being. Your primary responsibilities will include designing and deploying models, ensuring responsible use of AI, detecting and mitigating bias, conducting business analysis, creating analytical findings, engaging in client communications, mentoring junior data scientists, leading knowledge sharing sessions, overseeing technical deliveries, performing quality checks, collaborating with senior team members to develop new capabilities, and continuously building and applying technical and functional skills. To excel in this role, you must possess a bachelor's degree and have at least 7 years of experience in analytics and machine learning projects within the Business Intelligence or Business Analysis space. Proficiency in analytics tools such as R, Python, SQL, Databricks, and cloud technologies is essential. Additionally, you should have a strong understanding of Predictive & Prescriptive Analytics techniques, problem-solving skills, statistics, mathematics, data technologies, data structures, Natural Language Processing, Gen-AI, Large Language Models, and excellent communication abilities. Preferred qualifications include certification in Azure Cloud (AZ-900), familiarity with Business Intelligence tools like Tableau/Power BI, and exceptional time management, communication, decision-making, and presentation skills. If you are passionate about driving impactful solutions, possess a problem-solving approach, and are committed to continuous learning and growth, we welcome you to apply for this position at our Noida, Uttar Pradesh location. Join us in making a difference in the lives of millions as we strive to advance healthcare and well-being globally through innovative analytics solutions.,

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

Position Overview Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation, Job Responsibilities: Research, design, and develop innovative generative AI models and applications Collaborate with cross-functional teams to identify opportunities for AI-driven solutions Train and fine-tune AI models on large datasets to achieve optimal performance Optimize AI models for deployment in production environments Stay up-to-date with the latest advancements in AI and machine learning Collaborate with data scientists and engineers to ensure data quality and accessibility Design, implement, and optimize machine learning algorithms for tasks like classification, prediction, and clustering Develop and maintain robust AI infrastructure Document technical designs, decisions, and processes, and communicate progress and results to stakeholders Work with cross-functional teams to integrate AI/ML models into production-level applications Basic Qualifications: Master's degree in a quantitative discipline or equivalent 5+ years minimum professional experience Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation Excellent verbal and written communication skills, with the ability to present information and analysis results effectively Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company Statistics : must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models Machine Learning : must have a deep understanding of ML algorithms (i-e , deep learning, random forest, gradient boosted trees, k-means clustering, etc) and their development, validation, and evaluation Programming : experience with Python or other scripting languages and database language ( e-g , SQL) or data manipulation ( e-g , Pandas) We are proud to offer a competitive salary alongside a strong insurance package We pride ourselves on the growth of our employees, offering extensive learning and development resources, Show

Become part of our team! Team introduction Department of Data and Analytics has its hub at DTICI Bengaluru India catering to data and analytics requirements for Daimler Truck. we are 150+ strong team comprising of Data engineers, Data scientists, AI engineers and Analysts What makes the team/department special Highly energetic and young team that solves business problems that have the potential to define we build our trucks Good Communication & presentation skills. Strong Knowledge of Azure Components Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks Master in Statistics/Machine Learning/Economics/ Big Data analytics (Full -Time) Strong experience in object-oriented programming using Python & PySpark Experience developing, training, and evaluating (supervised/unsupervised) machine learning models such as linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection Familiar with statistical distributions, correlation analysis, descriptive statistics, ROC, F1-Score, etc. Proficiency in Python, Scikit-learn and ML libraries. Strong understanding of statistical modeling and data preprocessing. Should have had at least 2 to 3 use cases where the candidate would have gained the experience of end to end development of Data science solution and deployment Problem definition - white boarding Hypothesis building and testing and Exploratory data analysis Data engineering to curate data for model Training, testing, deployment and MLops Job Title: Data Scientist (Iterative Model Development Traditional ML) Job Summary: We are seeking a Data Scientist with expertise in building and optimizing traditional ML models, specifically within the automobile domain. The ideal candidate will have strong experience in classical ML algorithms, survival models, time series, statistical modelling, and deployment of predictive models. Experience with streaming data and telematics data solutions is highly desirable. Key Responsibilities: Work with Daimler s Businesses and Enabling Areas to support key business functions Contribute to storyboarding our results, support recommendations for an executive-level audience and produce leadership-quality deliverables Develop and optimize traditional ML models (regression, decision trees, SVM, XGBoost, etc.) with strong knowledge on Hypothesis testing. Perform feature engineering and dataset preprocessing for model training. Build scalable machine learning pipelines for real-world applications. Work on time series forecasting, anomaly detection, recommendation systems, etc. Optimize model performance using hyperparameter tuning and cross-validation. Deploy ML models into production using cloud and on-premises solutions. Collaborate with cross-functional teams to integrate ML models into business processes. Analyze and interpret telematics data to derive actionable insights. Develop solutions for streaming data processing and real-time analytics.

Agency : PivotRoots Job Description : We are seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth. Responsibilities: Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications: Bachelors or master s degree in Statistics, Mathematics, Computer Science, or related quantitative field 2-4 years experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills: Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience with: Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables: Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job.

Agency : PivotRoots Job Description : We are seeking a Data Scientist with 2-4 years of experience to contribute to advanced analytics and predictive modelling initiatives. The ideal candidate will combine strong statistical knowledge with practical business understanding to help develop and implement models that drive customer value and business growth. Responsibilities: Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications: Bachelors or master s degree in Statistics, Mathematics, Computer Science, or related quantitative field 2-4 years experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills: Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience with: Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables: Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual s ability to perform their job. Contract Type : Permanent

About the Role We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling. Key Responsibilities 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 or 8+ 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. 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!

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title- IB Business Information Records Officer (BIRO) Location- Mumbai, India Corporate Title - VP Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate 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 their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank 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 solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ How well support you

About The Role : Job TitleQuant Analyst, AVP LocationMumbai, India Role Description Group Strategic Analytics: Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Treasury Strat's The candidate is required to work in collaboration with London/New York/Frankfurt team on various quantitative and regulatory driven projects. Candidate 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 their work effectively with various stakeholders spread across globe. Role Responsibilities Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank 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 solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with ex External stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Competencies Programming Skills At least 4 years experience in Python/C++ programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics Ability to work independently as well as flexibly within intra or inter-departmental groups. Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines. Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) will be a plus Certification courses like CFA/FRM/CQ How well support you

You should have the ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrating competency in Probability and Statistics, you should be capable of utilizing ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Your experience should include dealing with outliers, denoising data, and handling the impact of pandemic like situations. Performing Exploratory Data Analysis (EDA) of raw data and feature engineering wherever applicable is crucial. You should possess demonstrable competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions is essential. Being able to train and evaluate ML models using various machine learning and deep learning algorithms is a must. You should also be skilled in retraining and maintaining model accuracy in deployment. Knowledge of cloud platforms such as AWS, Azure, and GCP is required. Exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase) is preferred. An understanding of forecasting experience in products like SAP, Oracle, Power BI, and Qlik is beneficial. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) is expected. Having experience with large datasets and distributed computing (Hive/Hadoop/Spark) is advantageous. Knowledge of transfer learning using state-of-the-art models in different spaces like vision, NLP, and speech is a plus. Integration with external services and Cloud API is also a part of the role. Working with data annotation approaches and tools for text, images, and videos is desirable. You should be able to package and deploy large-scale models on on-premise systems using multiple approaches, including Docker. Taking complete ownership of the assigned project is necessary. Experience of working in Agile environments and being well-versed with JIRA or equivalent project tracking tools is expected.,

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 . Who are we and what do we do? InMobi is the world s largest independent mobile advertising network. With a presence across five continents, we offer advertisers, publishers, and developers a truly global solution for mobile advertising. Our network currently reaches over 1.64 billion devices in 165+ countries , delivering more than 200 billion mobile ad impressions each month . We are headquartered in Bangalore, with 17 offices worldwide including London, New York, Paris, San Francisco, Shanghai, Beijing, Seoul, Singapore, Tokyo, and Dubai. Learn more at: www.inmobi.com What s the InMobi family like? Consistently featured among the Great Places to Work in India since 2017 , our culture is our true north enabling us to think big, tackle complex challenges, and grow with every opportunity. InMobians are passionate, creative, fun-loving, and driven by ownership and results. We invite you to free yourself, dream big, and pursue your passion . About the Role Analyst, People Analytics We are looking for a detail-oriented and curious People Analytics Analyst to join our growing People Team. This role will play a key part in using data to drive people decisions across the organization. You will work closely with stakeholders across the People function to deliver insights, build reports, and shape our analytics capability. The ideal candidate will be fluent in Microsoft Excel and comfortable working with data related to hiring, attrition, workforce movement, and more. They should be eager to grow into Power BI for scalable dashboarding and proactive in exploring insights that matter. Key Responsibilities Build and maintain recurring and ad-hoc reports on people metrics (e.g., attrition, hiring, tenure, workforce changes). Act as the primary point of contact for reporting and insights across the People Team. Translate business questions into structured data analyses and dashboards. Maintain data quality, consistency, and hygiene across systems and files. Conduct exploratory analysis and hypothesis testing to uncover trends and root causes. Transition reports from Excel to Power BI (support provided). Own calculated fields, data dictionaries, and change logs. Identify opportunities to streamline, automate, and improve analytics processes. Required Skills & Experience Advanced proficiency in Microsoft Excel (formulas, pivots, structuring, cleaning). Exposure to Power BI or similar BI tools (with willingness to learn quickly). 2 5 years of experience in data analysis, reporting, or HR analytics (internships included). Strong analytical thinking and attention to detail. Ability to clearly communicate insights and actions. Comfort working with confidential HR data and maintaining discretion. Proactive, self-driven, and collaborative approach. Nice to Have Familiarity with HR systems (e.g., SuccessFactors, Greenhouse, Darwinbox ) Experience working with HR/People team stakeholders Exposure to SQL, Python, or R (a plus, not mandatory) Why Join Us? You ll be at the center of our journey to become a data-intelligent People function shaping how we leverage data to inform talent decisions across the business. This is a unique opportunity to strengthen your technical and functional skills , work on real-world HR challenges, and contribute to building the future of people analytics at InMobi. 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 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 employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https: / / www.inmobi.com / company / careers to better understand our benefits, values, and more!

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. About the Role We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling. Key Responsibilities 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 or 8+ 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. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let 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!

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data to understand fraud patterns and develop strategies to mitigate fraud losses while minimizing customer impact. You will monitor strategy performance, collaborate with the implementation team, and proactively suggest fraud loss mitigation measures using new data sources and advanced analytics techniques. You will be expected to perform hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and optimize existing rules for improved performance. Your role will require a holistic understanding of retail banking products, best practices, and the integration of analytical thinking with business knowledge to develop client-centric solutions. Ideally, you should have experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling. Proficiency in decision tree models (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel is essential. Knowledge of Python, prior experience in Fraud Analytics, and familiarity with Tableau or other data visualization tools are desirable. You should also have experience in stakeholder management across functions and regions, translating data into consumer insights, and effectively communicating findings to business partners and senior leaders. Your role will involve delivering clear presentations, managing projects, supporting regulatory/audit activities, and collaborating with stakeholders to drive targeting and segmentation strategies. You should possess excellent communication skills, project and process management capabilities, and the ability to work both independently and within a team environment. Qualifications: - 8+ years of analytics experience, with prior experience in Fraud analytics preferred - Advanced analytical and business strategy skills - Effective communication skills, including the ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously Education: - Bachelors/University degree or equivalent experience; Masters degree preferred If you require a reasonable accommodation due to a disability for using our search tools or applying for a career opportunity, please review the Accessibility at Citi information. For more details, view Citi's EEO Policy Statement and the Know Your Rights poster.,

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you will solve business problems and uncover actionable insights. Your hands-on experience in building and deploying machine learning models will be crucial in building, validating, and tuning machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Collaborating with stakeholders, you will translate business questions into data science problems and communicate findings in a clear, actionable manner. You will use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Documenting data science workflows and maintaining the reproducibility of experiments and models will ensure the success of analytics projects. Additionally, you will support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics Specialty are preferred or in progress to enhance your expertise in the field.,

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. - Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research: - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.,

Type: Hybrid Job Description Who We Are: Fareportal is one of the leading sellers of airline tickets in the United States. We are a progressive company that leverages technology and expertise to deliver optimal solutions for our suppliers, customers, and partners. FAREPORTAL HIGHLIGHTS: Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 600 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. Role Overview: We are seeking a customer-centric, data-driven, and results oriented Senior Product Pricing Analyst. The primary focus is to analyze day to day business, understand customer behavior, look for opportunities to increase conversion, maximize revenue, and improve competitiveness. This role will help define and execute a roadmap based on business vision, market trends, customer feedback, and data science and business analytics. The right person will possess strong analytical skills and expertise in translating customer data to actionable insights. Previous experience in the travel industry with revenue management is a big plus, experience creating enterprise-level highly scalable platforms is key. The role is a challenging yet exciting opportunity to help create a highly scalable pricing platform to help millions of customers to book their perfect travel. Key Responsibilities: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving customer experience and ROI with a religious focus on impactful analytics, steward product team to drive insights Own end to end test excellence in evaluating AB test and improve learning; Proactively see opportunities and recommend on new feature for test and learn; evaluating and applying alternative methods to supplement randomized testing Own metrics framework development for Air And Non Air Pricing product, build accurate and easy to consume dashboards/reports to key metrics, collaborate with product team in goal setting, product performance review and strategy planning. Take initiative to identify current and potential problems and recommend the best solution given the trade-offs. Enhance and automate Yield Management process in collaboration with tech team Create an integrated pricing tool that can improve customer experience and increase high RPT bookings based on dynamic changes in pricing on real time basis. Own Pricing Analytics for multiple portals and pricing as a product. Qualifications : 4+ years of work experience doing quantitative analysis to tackle business problems A bachelor s degree in at least one science, technology, engineering, or mathematics field Possessing a robust aptitude for analysis, demonstrated through the capacity to dissect complex business situations into their fundamental components Excellent communicator to tell stories with data Demonstrated expertise in analytics, utilizing a suite of data analysis tools including Excel, SQL, and advanced statistical programming languages such as R or Python to model complex business scenarios A solid grasp of statistics and hypothesis testing Experience applying visualization tools such as building PowerBI dashboards Curiosity and passion for making an impact along with strong attention to detail Experience in travel industry and revenue management is a plus Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations or requirements posted here at any time at the Company s sole discretion, with or without notice. Bottom of Form Job Category: Analytics Job Type: Full Time Job Location: Gurgaon Type: Hybrid Job Description Who We Are: Fareportal is one of the leading sellers of airline tickets in the United States. We are a progressive company that leverages technology and expertise to deliver optimal solutions for our suppliers, customers, and partners. FAREPORTAL HIGHLIGHTS: Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 600 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. Role Overview: We are seeking a customer-centric, data-driven, and results oriented Senior Product Pricing Analyst. The primary focus is to analyze day to day business, understand customer behavior, look for opportunities to increase conversion, maximize revenue, and improve competitiveness. This role will help define and execute a roadmap based on business vision, market trends, customer feedback, and data science and business analytics. The right person will possess strong analytical skills and expertise in translating customer data to actionable insights. Previous experience in the travel industry with revenue management is a big plus, experience creating enterprise-level highly scalable platforms is key. The role is a challenging yet exciting opportunity to help create a highly scalable pricing platform to help millions of customers to book their perfect travel. Key Responsibilities: Apply your expertise in quantitative analysis, data mining, data visualization with a goal of improving customer experience and ROI with a religious focus on impactful analytics, steward product team to drive insights Own end to end test excellence in evaluating AB test and improve learning; Proactively see opportunities and recommend on new feature for test and learn; evaluating and applying alternative methods to supplement randomized testing Own metrics framework development for Air And Non Air Pricing product, build accurate and easy to consume dashboards/reports to key metrics, collaborate with product team in goal setting, product performance review and strategy planning. Take initiative to identify current and potential problems and recommend the best solution given the trade-offs. Enhance and automate Yield Management process in collaboration with tech team Create an integrated pricing tool that can improve customer experience and increase high RPT bookings based on dynamic changes in pricing on real time basis. Own Pricing Analytics for multiple portals and pricing as a product. Qualifications : 4+ years of work experience doing quantitative analysis to tackle business problems A bachelor s degree in at least one science, technology, engineering, or mathematics field Possessing a robust aptitude for analysis, demonstrated through the capacity to dissect complex business situations into their fundamental components Excellent communicator to tell stories with data Demonstrated expertise in analytics, utilizing a suite of data analysis tools including Excel, SQL, and advanced statistical programming languages such as R or Python to model complex business scenarios A solid grasp of statistics and hypothesis testing Experience applying visualization tools such as building PowerBI dashboards Curiosity and passion for making an impact along with strong attention to detail Experience in travel industry and revenue management is a plus Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations or requirements posted here at any time at the Company s sole discretion, with or without notice. Bottom of Form Job Category: Analytics Job Type: Full Time Job Location: Gurgaon

Data Analyst @ Amritapuri - Amrita Vishwa Vidyapeetham Data Analyst @ Amritapuri Data Analyst @ Amritapuri Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Data Analyst . For . Desirable Skills & Capacity 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 Last Date to Apply August 2, 2025 Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx & PDF format only Extra curricular activities To confirm your request , please check the box to let us know you are human

About Klook Klook is Asia's leading platform for experiences and travel services, dedicated to bringing the world closer together through unique and unforgettable experiences. Founded in 2014 by three passionate travelers - Ethan Lin, Eric Gnock Fah, and Bernie Xiong, Klook offers over half a million curated quality experiences in 2,700 destinations worldwide. From iconic attractions to adventurous activities like paragliding, from cultural tours to convenient local travel services, Klook aims to inspire and enable more moments of joy for travelers around the globe. Do you share our belief in the transformative power of travel Join our international community of over 1,800 employees across 30+ locations who are not only curating memorable experiences but also co-creating a world of joy within Klook. At Klook, we work hard and play hard, maintaining a high-performing culture guided by our six core values: Customer First, Push Boundaries, Critical Thinking, Build for Scale, Less is More, and Win as One. We constantly strive for excellence and believe in reaching greater heights in the ever-evolving travel industry. If you are passionate about travel and innovation, come be a part of our revolution! As a Data Scientist in the Pricing Strategy team, you will be instrumental in driving data-driven decision-making and optimizing pricing strategies. Your role will involve developing and implementing dynamic pricing models, predictive and prescriptive analysis, and contributing to revenue growth and market competitiveness. What You'll Do Dynamic Pricing Model Development: Create and implement advanced dynamic pricing models to optimize product pricing across different channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior for proactive pricing adjustments. Prescriptive Analysis: Use prescriptive analytics to identify optimal pricing strategies aligned with specific business objectives and constraints. Data Exploration and Analysis: Conduct thorough data exploration and analysis to extract valuable insights for informing pricing decisions. Model Evaluation and Refinement: Continuously assess and refine pricing models to ensure accuracy and effectiveness. Collaboration: Work closely with cross-functional teams such as marketing, sales, and finance to align pricing strategies with overall business goals. Stay Updated: Keep abreast of the latest advancements in data science and pricing optimization techniques. What You'll Need Master's degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. 3-4 years of relevant experience in Data Science. Proficiency in Python or R for programming, data manipulation, analysis, and visualization using libraries like Pandas, NumPy, Matplotlib, and Seaborn. Knowledge of machine learning algorithms (e.g., regression, classification, clustering, time series analysis) and statistical modeling. Familiarity with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Strong problem-solving and analytical skills. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learning mindset. Klook is committed to being an equal opportunity employer, welcoming talented and passionate individuals from diverse backgrounds. We believe in fostering an inclusive workplace where everyone has an equal opportunity to thrive. Join us in creating a supportive and inclusive culture where every individual belongs.,

As a Data Scientist/Analyst at A.com, you will be a part of the Digital Media (DMe - Consumer business) and Digital Experience (DX - Enterprise business) product analytics teams. Your primary responsibilities will involve utilizing analytics tools such as Adobe Experience Cloud and Big Data Platform to drive deeper customer analytics and insights across various web surfaces including Adobe.com, mobile, web apps, and desktop apps. Your key responsibilities will include: - Utilizing analytics tools like Adobe Experience Cloud and Hive/SQL to analyze data and deliver insights on visitor/customer behavior across key Adobe business surfaces. - Drawing insights from structured and unstructured data to understand market dynamics, visitor behavior, and surface performance metrics. - Collaborating with various teams to understand end-to-end customer journeys, support measurement processes, and track business targets. - Creating, enhancing, and applying various models for Forecasting, SEO, LTV, Optimization, and more. - Owning SEO analytics, including data mart and dashboards, and updating leadership on SEO evolutions. - Setting business targets for Adobe business surfaces using data science models and forecasting methodologies. - Reviewing test hypotheses, developing growth plans, and providing actionable insights to key business stakeholders. - Understanding customer intent through voice of the customer analytics and providing insights for business stakeholders. - Drawing meaningful insights from various Adobe data sources to optimize growth and engagement KPIs. - Partnering with data engineering team to create reports and dashboards for effective communication of insights. At Adobe, we are committed to creating exceptional employee experiences and promoting equal opportunities for all. If you require any accommodations due to a disability or special need, please contact us at accommodations@adobe.com or call (408) 536-3015.,

A.com Data Scientists/Analysts are a part of the A.com Digital Media (DMe - Consumer business) and Digital Experience (DX Enterprise business) product analytics teams and operate across a broad spectrum of responsibilities such as web analytics, cross-surface data stitching/insights, hypothesis testing & optimization, SEO analytics, forecasting, data modeling, and data sciences. The analysts are responsible for driving deeper customer analytics and insights using Adobe Experience Cloud (ie, Adobe Analytics, CJA, Adobe Debugger) and Big Data Platform (Hadoop/Hive/DBx) to develop deep and meaningful insights across multiple web surfaces. As a member of the global team, you will be involved in analytics associated with various surfaces like Adobe.com, mobile, web apps, web products, and desktop apps (ie, Creative Cloud Desktop). Responsibilities: Utilize best-in-class analytics tools, including Adobe Experience Cloud (eg, Adobe Analytics, CJA, etc) and Hive/SQL to stitch, assess, interpret, and analyze data to deliver insights and understanding of visitor/customer behavior on key Adobe business surfaces like A.com web, mobile, web apps, desktop apps, products, checkout flows etc Ability to draw insights from structured and unstructured data. Proactively identify and analyze trends within the data to understand visitor/customer behavior, market dynamics and surface performance using associated business performance metrics like Traffic, CVR, Product mix, High Value Actions, SEO ranking, ARR, Product engagement, LTV, CTR etc To work with Marketing, Finance, Product, and eCommerce teams to understand end to end customer journeys on various surfaces, draw insights from the same, support RTB process, launch measurements and business targets tracking. Creation, enhancement, and application of various models used across A.com teams for Forecasting, SEO, LTV, Optimization, Next best action/product, Keyword clustering, CTR models and more. Ownership of SEO analytics including SEO data mart and various dashboards, creation, and enhancement of statistical and mathematical models for SEO and update the leadership on the evolutions in the SEO space. Ownership and sound understanding of the business, science and techniques used to set business targets for different Adobe business surfaces using various data science models and forecasting methodologies. Review test hypotheses, help develop comprehensive growth plans and success metrics along with performing quality assurance on test set ups and targeted audiences. Analyze test results and craft meaningful test summaries to provide interpretation, guidance, recommendations, and actionable insights for key business stakeholders. To understand diverse customer intent using voice of the customer analytics and to provide actionable insights for key business stakeholders. Ability to parse, stitch, and draw meaningful insights from different Adobe data sources (online, product usage, financial etc) to better understand the cross-surface journeys across Adobe.com and Adobe products to optimize for growth and engagement KPI s agreed upon with products teams. Partner with data engineering team to drive creation of reports and dashboards to visually communicate insights effectively. Make complex findings easily understandable, by highlighting key takeaways and actionable recommendations.

Key Skills: Statistics, SQL, Python, A/B Testing, Hypothesis Testing, Regression, Product Analytics, Data Visualization (UDP, Power BI), Stakeholder Management, Business Metrics, Data Automation, Dashboarding, Data Storytelling, Data Governance. Roles & Responsibilities: Manage large datasets, lead quantitative analyses, and deliver strategic insights. Build and deploy statistical models, including hypothesis testing, A/B testing, product experimentation, and regressions. Optimize e-commerce funnels, retention strategies, and key performance metrics. Define, evaluate, and refine business and product metrics to guide optimization and innovation. Design and deliver executive-level dashboards and reporting solutions using tools like UDP and Power BI. Collaborate with cross-functional teams, managing stakeholder expectations and aligning teams with business goals. Apply advanced analytics techniques and adopt innovative problem-solving approaches in dynamic environments. Drive automation of data pipelines and processes to improve scalability and efficiency. Interpret complex data sets and present findings to both technical and non-technical stakeholders in a clear and actionable manner. Mentor junior analysts, promoting best practices in data analysis and storytelling. Contribute to the development of data governance standards and ensure data quality across projects. Experience Required: 5-7 years of hands-on experience in advanced analytics, statistical modeling, and data-driven decision making. Proven experience in building scalable data workflows and automation solutions. Strong track record of influencing product and business strategy through deep analytical insights. Experience working closely with product, marketing, and engineering teams to define KPIs and measure success. Education: B.E., B.Tech.