1452 Data Scientist Jobs - Page 36

Job Summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models. Present information using data visualization techniques. Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions. Stay updated with the latest technology trends in data science. Develop and implement real-time machine learning models for various projects. Engage with clients and consultants to gather and understand project requirements and expectations. Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development. Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development. Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency. Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience.

Job Description: Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. Were looking for an experienced Principal Applied Data Scientist to join our OCI Gen-AI Solutions team for strategic customers. In this role, youll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MPC and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. As part of the OCI Gen AI and Data Solutions for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers. As a Principal Applied Data Scientist, youll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracles cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art solutions with brand new technologies in this fast-evolving area. You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Be an enthusiastic, self-motivated, and a great collaborator. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications and experience Bachelors or master s in computer science or equivalent technical field with 10+ years of experience Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. Practical experience with setting up and finetuning large OpenSearch Clusters. Experience in setting up data ingestion pipelines with OpenSearch. Experience with search algorithms, indexing, optimizing latency and response times. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Familiarity with Agents and Agent frameworks and Model Predictive Control (MPC) Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Ability and passion to mentor and develop junior machine learning engineers. Proficient in Python and shell scripting tools. Preferred Qualifications : Masters or Bachelors in related field with 5+ years relevant experience Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Experience with semantic search, multi-modal search and conversational search. Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). Experience in diagnosing, fixing, and resolving issues in AI model training and serving.

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

Interested in building something new? Join the Amazon Autos team on an exhilarating journey to redefine the vehicle shopping experience. This is an opportunity to be part of the Amazons new business ventures. Our goal is to create innovative automotive discovery and shopping experiences on Amazon, providing customers with greater convenience and a wider selection. Youll work in a creative, fast-paced, and entrepreneurial environment at the center of Amazons innovation. As a key member, youll play a pivotal role in helping us achieve our mission. We are looking for a highly accomplished Applied Science professional drive our science strategy, foster a culture of data-driven decision-making, and drive impactful business outcomes through advanced state-of-the-art science methodologies. If youre enthusiastic about innovating and delivering exceptional shopping experiences to customers, thrive on new challenges, and excel at solving complex problems using top-notch ML models, LLM and GenAI techniques, then youre the perfect candidate for this role. Strong business acumen and interpersonal skills are a must, as youll work closely with business owners to understand customer needs and design scalable solutions. Join us on this exhilarating journey and be part of redefining the vehicle shopping experience. As an Applied Scientist in Amazon Autos, you will: - Shape the roadmap and strategy for applying science to solve customer problems in the Amazon AutoStore domain. - Drive big picture innovations with clear roadmaps for intermediate delivery. - Apply your skills in areas such as deep learning and reinforcement learning while building scalable solutions for business problems. - Produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput. - Utilize your Generative AI, time series and predictive modeling skills, and creative problem-solving skills to drive new projects from ideation to implementation. - Interface with business customers, gathering requirements and delivering science solutions. - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. - Effectively communicate complicated machine learning concepts to multiple partners. - Research new and innovative machine learning approaches. A day in the life In this role, you will be part of a multidisciplinary team working on one of Amazons newest business ventures. As a key member, you will collaborate closely with engineering, product, design, operations, and business development to bring innovative solutions to customers. Your science expertise will be leveraged to research and deliver novel solutions to existing problems, explore emerging problem spaces, and create new knowledge. Youll invent and apply state-of-the-art technologies, such as large language models, machine learning, NLP, and computer vision, to build next-generation solutions for Amazon. Youll publish papers, file patents, and work closely with engineers to bring your ideas to production. About the team This is a critical role for Amazon Autos team with a vision to create innovative automotive discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We re collaborating with other experienced teams at Amazon to define the future of how customers research and shop for cars online. - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Masters degree or above in computer science, machine learning, engineering, or related fields - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals

Job Summary What you need to know about the role Apply strategic and data analytics skills to solve problems for the PayPal Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. Meet our team The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front-end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency. Job Description Your way to impact As a Data Scientist 3, you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization Your day-to-day Provide analytical insights into problems, emerging trends and changes to portfolio Drive projects end to end from ideation to implementation in a time sensitive and efficient manner Identify new opportunities and continuous improvement to contribute to the team s KPIs and targets Case rating Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc. Ensure that we balance automation goals with loss. Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality. Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution Understand new products, features and trends and their impact to back-office reviews. Identifying present or future gaps in the team s existing reporting and tools suite Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business What do you need to bring? Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results Proven experience in using data and analytics to drive innovation in business processes to reduce manual efforts Be data-driven and outcome-focused Must have good business judgment with demonstrated ability to think creatively and strategically Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work Proven experience in working with multiple teams and stakeholders to deliver business outcomes. Proven experience in engaging with senior leadership teams to set up roadmap and to showcase project outputs Degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 10+ years experience. Work experience in risk management, data science in the payments space or banking/finance services industry would be particularly desirable. Proficiency using SQL and querying relational databases Experience in at least one statistical programming language (SAS, R, Python) Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc. Knowledge of latest developments in AI and how they can be used for enterprise level solutions Hands on experience with project/program management or working with PMO teams to deliver projects Team management skills to mentor team members to get best results Drive a culture of innovation in the team and proactively come up with ideas 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.

Job Summary: We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. This role involves transforming complex business questions into actionable value generation insights and predictive models. Key Responsibilities: Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics. Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance. Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment. Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions. Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy. Requirements: Bachelor s/Master s in Data Science, Statistics, Computer Science, or related field. Experience in end to end model development to deployment and performance monitoring. Strong communication skills to convey insights to technical and non-technical audiences. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, 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. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills.

Main purpose/ Responsibilities : As R&D Performance Senior AI Engineer , you will study and develop artificial intelligence programs and deploy in system Using your logical and communication skills to not only suggest ML approaches, techniques, software or applications, but develop and deploy them worldwide with in our organization This role needs innovative thinking to develop AI based automations with expected accuracy, need out of box thinking With the objective to secure company know-how and capitalize from it, to bring value to our business Problem solving and logical thinking will be key to success in this position Main mission: Study and develop possible AI topics for Faurecia Automotive Seating Work in concepts such as database management systems and various types of web applications Specify IT infrastructures, software's and applications in relation with Group Information System department Interactions with customers to support the objectives Qualifications The ideal candidate will have/be: Education : Degree or master's degree in computer science/ Electronics/ Artificial Intelligence /Mechanical/automobile Experience: Minimum 5 years' experience in AI Experience performing quantitative research with Computer vision, Machine learning, Deep learning and associated implementation of algorithms Strong programming skills in Python and familiarity with other languages like R Experience data analysis techniques Working experience Pandas and other AI related libraries Strong understanding of Supervised, Unsupervised learning and Deep Learning algorithms Strong understanding of Azure DevOps and CI/CD pipeline creation for AI projects Experience in creating dashboards or webpage using Plotly Dash or similar tools Understanding of MLOps practices for deploying and maintaining ML models in production Experience in deploying Generative AI models Skills & Attributes: Advanced English Fast learner and Problem solving High level of integrity, accountability and transparency International working mindset

Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office. Date - 7th June 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Hyderabad Office Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other Requirements: Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Develop, test and support future-ready data solutions for customers across industry verticals.Develop, test, and support end-to-end batch and near real-time data flows/pipelines.Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Graduate with a minimum of 5+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Data Scientist Experience: 3-18yrs Skills: Data Science, Machine Learning, Python, SQL Location: Chennai Contact: Ranjani 6383842191/talenthr.istarbs@gmail.com

We are looking for an enthusiastic Data Scientist to join our team based in Bangalore. You will be pivotal in developing, deploying, and optimizing recommendation models that significantly enhance user experience and engagement. Your work will directly influence how customers interact with products, driving personalization and conversion. Responsibilities Model development: Design, build, and fine-tune machine learning models focused on personalized recommendations to boost user engagement and retention. Data analysis: Perform a comprehensive analysis of user behavior, interactions, and purchasing patterns to generate actionable insights. Algorithm optimization: Continuously improve recommendation algorithms by experimenting with new techniques and leveraging state-of-the-art methodologies. Deployment and monitoring: Deploy machine learning models into production environments, and develop tools for continuous performance monitoring and optimization. Requirements Bachelor's degree (B. E. / B. Tech) in Computer Science or equivalent from a reputed institute. Strong foundation in Statistics, Probability, and core Machine Learning concepts. Hands-on experience developing recommendation algorithms, including collaborative filtering, content-based filtering, matrix factorization, or deep learning approaches. Proficiency in Python and associated libraries (NumPy, Pandas, Scikit-Learn, PySpark). Experience with TensorFlow or PyTorch frameworks and familiarity with recommendation system libraries (e. g., torch-rec). Solid understanding of Big Data technologies and tools (Hadoop, Spark, SQL). Familiarity with the full Data Science lifecycle from data collection and preprocessing to model deployment. This job was posted by Shashank Patil from Oneture Technologies. Show more Show less

Introduction We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply. We’d be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Overview We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products’ and services’ efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques. How You'll Make An Impact Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection. Artificial Intelligence & Machine learning Techniques: Expert level knowledge on AI / ML techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data. Strong knowledge of Python & R, MS Azure ML Studio, AWS, or Google Cloud. Knowledge of data science toolkits such as R, NumPy, and MatLab. Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL. Data storytelling: Communicate actionable insights using data, often for a non-technical audience. Analytical thinking. Find analytical solutions to abstract business issues. Business intuition: Connect with stakeholders to gain a full understanding of the problems they’re looking to solve. Interpersonal skills: Communicate across a diverse audience across all levels of an organization. Critical thinking: Apply objective analysis of facts before coming to a conclusion. Inquisitiveness: Look beyond what’s on the surface to discover patterns and solutions within the data. Perform data mining, exploration, and analysis. Ability to store and process unstructured data with NoSQL databases and machine learning models Design, train, and implement machine learning algorithms. Strong attention to detail and accuracy of output. Advanced knowledge of SQL and Excel. Strong Data Visualization skills preferably MS PowerBI. Keeping up to date with the latest tools and trends. Excellent verbal and written Communication skills Leverage predictive models to optimize customer experiences. Creating automated anomaly detection. About You Technical Bachelor’s Degree. Preferably in statistics, computer science, mathematics, or engineering. 3+ year of relevant experience. Strong domain knowledge. Should be ready work in shifts. Additional Information We value inclusion and diversity Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. Show more Show less

Responsibilities: 1. Assist in developing and fine-tuning (LLMs) using deep learning frameworks 2. Work on model training, evaluation, and optimization 3. Support data preprocessing, augmentation, and pipeline setup for large-scale datasets

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection 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, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: 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.

WE ARE LOOKING FOR IMMEDIATE JOINERS OR CAN JOIN WITHIN 30 DAYS FROM AI/ML BACKGROUND Location: Kharadi, Pune, and Bangalore Experience: 4 to 7 years We are looking for a Data Scientist with strong experience in automation, data processing, and applied machine learning. This role will focus on building intelligent solutions using Python, R, SQL, and cloud technologies to drive automation, analytics, and sustainability-focused initiatives. Key Responsibilities Design, build, and maintain data pipelines and architectures for scalable analytics Analyze large, complex datasets to extract actionable insights Develop and deploy machine learning models and LLMs for predictive and NLP use cases Lead automation projects using Python, SQL, Excel macros/VBA , and APIs Implement ETL workflows and ensure high data quality and reliability Perform data cleaning, preprocessing, and feature engineering Collaborate with stakeholders to support ESG and sustainability data initiatives Create visualizations and dashboards using Tableau or Power BI Desired Skills & Qualifications Proficient in Python and R for data analysis, modeling, and automation Hands-on experience working with machine learning models, including LLMs Strong expertise in SQL and NoSQL for data querying and management Advanced knowledge of Excel , including macros and VBA scripting Experience working with APIs for data integration and process automation Familiarity with cloud platforms (especially AWS , Redshift, SQL Server) Experience with data visualization tools like Tableau or Power BI Understanding of ESG metrics and experience working with sustainability data (preferred) Job Types: Full-time, Permanent Pay: ₹2,000,000.00 - ₹3,500,000.00 per year Application Question(s): What is your Current CTC? What is your Expected CTC? What is your Notice Period? Experience: Python: 3 years (Required) SQL: 4 years (Required) Tableau: 1 year (Preferred) Power BI: 1 year (Preferred) NoSQL: 4 years (Required) Work Location: In person

Job Description: We are looking for a highly skilled and motivated Data Scientist with expertise in AI/ML modelling and experience in working with generative AI models to join our team in Noida. The ideal candidate will have a strong background in machine learning, data analysis, forecasting, and model development. You will be responsible for designing, implementing, and optimizing predictive models to support business decision-making and innovation. Key Responsibilities: Design, develop, and implement machine learning models for forecasting, predictive analytics, and generative AI solutions. Build and deploy end-to-end AI/ML pipelines, from data preprocessing and feature engineering to model development and deployment. Work with large and complex datasets, applying advanced techniques such as deep learning, reinforcement learning, and generative models (e.g., GANs, VAEs) to extract valuable insights. Collaborate with cross-functional teams, including engineers, business analysts, and stakeholders, to understand business needs and deliver actionable AI-driven solutions. Evaluate model performance using statistical and business metrics, and continuously improve model accuracy and efficiency. Stay up-to-date with the latest research and advancements in AI, machine learning, and data science technologies. Provide technical guidance and mentorship to junior data scientists and data engineers. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 5-8 years of experience in AI/ML modelling, with a strong focus on predictive modelling, forecasting, and working with generative AI techniques. Proficiency in programming languages such as Python, R, or Java, and experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn). Strong knowledge of machine learning algorithms, statistical analysis, and optimization techniques. Experience in working with time series forecasting, anomaly detection, and predictive analytics. Hands-on experience in generative AI models, including GANs, VAEs, and other deep learning techniques. Strong understanding of data wrangling, feature engineering, and model evaluation metrics. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark) is a plus. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Schedule: Morning shift Work Location: In person

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics 1. Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the effortsrequired to scaleand standardize the use of Data Scienceacross multiple ABI markets 2. KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous work experience required Minimum 3 years of relevant experience Technical skills required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows MLOPS concepts and containerization tools like Docker Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization. Good To Have Preferred industry exposure in Manufacturing Domain Product building experience Other Skills required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers Show more Show less

Designed, developed and delivered multiple machine learning projects including implementation in production Worked on a variety of Data Science projects Experience converting a business problem into a Data Science problem Strong grasp of ML and Time Series fundamentals and their applications in business Proficiency in Python (including pandas/scikit-learn) Experience in leading or guiding a team of data scientists/ML engineers Familiarity with relational databases and intermediate level knowledge of SQL A team player who can deliver under pressure An eye for detail, quick learner and can think out of the box Familiarity with cloud platforms Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies like Spark, etc. is a plus.

Data Scientist @ DevOn The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You have at least 3 years of experience as a Data Scientist. Responsibilities 🚀 We are Hiring – Data Scientists (Immediate to 15 Days Joiners) Are you passionate about building models that make a real-world impact? At DevOn , you’ll: 🔹 Work on real-world classification & regression problems 🔹 Build models using XGBoost, LightGBM, Random Forest 🔹 Perform feature engineering , scaling , handle missing data & outliers 🔹 Apply model evaluation techniques – PR Curve, F1, Cross-validation, R² 🔹 Tune hyperparameters and deploy using CI/CD, Docker, AWS 🔹 Collaborate with engineers and analysts to take models to production 🔹 Document experiments, build reproducible pipelines, and present insights Your profile: ✔ Strong hands-on experience in ML model development end-to-end ✔ Solid understanding of model performance metrics and tuning ✔ Expertise in Python, SQL, GitHub, Jupyter, TensorFlow/PyTorch ✔ Knowledge of bias-variance tradeoff , bagging vs boosting , IQR, etc. ✔ Experience with cloud platforms (AWS preferred) ✔ Bonus: A/B testing or causal inference exposure 📩 Send your resume to: TA-IN-Consulting@devon.nl 📅 Looking for immediate joiners or max 15 days Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 3-years of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python & SQL) Show more Show less

Overview: The Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects. Job Description: Assist in the development of Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions. Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level data science initiatives. Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under the guidance of senior data scientists. Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience. Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions. Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI. Experience in a data science role, demonstrating practical experience and strong Python programming skills. Exposure to Business Intelligence (BI) & Data Engineering concepts and tools. Familiarity with data platforms such as Dataiku is a bonus. Skills: Solid understanding of Machine Learning principles and practical experience in Python programming. Familiarity with data science and machine learning libraries in Python (e.g., scikit-learn, pandas, NumPy). Eagerness to learn Deep Learning and General AI technologies, with a proactive approach to acquiring new knowledge and skills. Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights. Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems. Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions. v4c.ai is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status. We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences. If you are passionate about diversity and innovation and thrive in a collaborative environment, we invite you to apply and join our team. Show more Show less

Opportunity with TCS |Data Scientist| Greetings from TCS!! TCS is Hiring for Data Scientist Interview Mode: Virtual Required Experience: 7-20 years Work location: PAN India Must have: Excellent knowledge AI/ML including algorithm development In-depth knowledge in Data (collection, preparation, analysis, visualization) Hands-on experience in Python based development ML/Deep Learning/ Operations Research (NLP/ Computer Vision) Strong written and verbal communication skills. Ability to explain complex technical concepts to non-technical audiences. Detail-oriented with a strong focus on quality and accuracy. If interested kindly send your updated CV and below mentioned details through DM/E-mail: srishti.g2@tcs.com Name: E-mail ID: Contact Number: Highest qualification: Preferred Location: Highest qualification university: Current organization: Total, years of experience: Relevant years of experience: Any gap: Mention-No: of months/years (career/ education): If any then reason for gap: Is it rebegin: Previous organization name: Current CTC: Expected CTC: Notice Period: Have you worked with TCS before (Permanent / Contract ) : Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role Each Data Analyst on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection 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, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Analyst in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: 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 [email protected] . 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.