1342 Data Scientist Jobs - Page 45

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

Company Description Syngenta is one of the world’s leading agriculture innovation company (Part of Syngenta Group) dedicated to improving global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 60,000 people in over 100 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. To learn more visit: www.syngenta.com Job Description Purpose Be integral part of the P&S Data Science team that applies technical expertise in data management, data science, machine learning, artificial intelligence, and automation to design, build, deploy, and maintain solutions across multiple countries. Work with project teams and SMEs to understand business requirements and develop appropriate data and AI/ML solutions. Contribute solutions with explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques to existing and new projects. Work independently to build applications for data collection and processing, exploration and visualization, analysis, regression, classification, and generation as required by the project and business teams. Accountabilities Develop and implement complex statistical models, machine learning algorithms, and data mining techniques to extract insights from large datasets. Lead data science projects from conception to completion, defining scope, methodology, and deliverables. Collaborate with business leaders to translate data insights into actionable strategies and recommendations. Guide and mentor junior data scientists, fostering their professional development and technical skills. Contribute to the design and improvement of data architecture, pipelines, and storage solutions. Stay current with the latest advancements in data science and introduce new techniques or technologies to the organization. Establish and maintain standards for data quality, documentation, and ethical use of data. Present complex findings to both technical and non-technical audiences, including executive leadership. Address complex business challenges using data-driven approaches and creative solutions. Improve the efficiency and scalability of data processing and model deployment. Develop deep knowledge in Syngenta’s P&S operations to better contextualize data insights. Own the design, build, and deploy process including collaboration with users and multi-disciplinary teams to fulfil the user, business and technical requirements. Qualifications Required Knowledge & Technical Skills Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience). Understanding of ETL processes and data pipeline design. Required development skills: Data Science – TensorFlow Scikit-learn, SciPy, NumPy, Pandas, XGBoost, Keras, etc. Programming – Python with pytorch and tensorflow Data – SQL, EDA, Descriptive and Predictive analysis, visualization Preferred additional skills: Web services – RESTful APIs and API testing, JSON, etc. Front end – JavaScript, Flask, React, Node.js, Vue, Django, or other. Tools – Git, npm, pip, Heroku, or other tools. Knowledge and hands-on experience supervised and unsupervised ML using Logistic/multi-variate regression, Gradient Boosting, Decision Trees, Neural Network, Random Forest, Support Vector Machine, Naive Bayes, Time Series, Optimization, etc. Preference for proven experience in adapting algorithms to required models - Regression, Decision Trees, Random Forests, LLM. Preference for experience in production and supply domain: production planning, supply chain, logistics, track and trace, CRM, etc. Preference for experience in Deep Learning model development in agriculture, supply chain or related domains. Documentation of documentation of APIs, models, and operational manuals (Markdown, etc.). Must be able to work on end to end activities from design, development and deployment Required Experience Previous internship, placement, or project experience in data engineering, data science, software development, or a related field. Required 2 years experience of building data science projects using AI/ML models. Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential). Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: Twitter & LinkedIn https://twitter.com/SyngentaAPAC https://www.linkedin.com/company/syngenta/ India page https://www.linkedin.com/company/70489427/admin/ Show more Show less

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year . In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors. Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future. Learn More About Cognite Here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact : Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership : Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless : Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. Who You Are 3+ years industry experience (or an academic background) in the oil and gas, manufacturing or Power & Utilities domain building analytical solutions (data-driven and/or simulations) for production optimization and predictive maintenance, such as general well monitoring, well event predictions (risk identification), production planning, flow assurance, etc. 1+ years experience serving as a domain expert on internal or customer projects Proficient with Python and its data ecosystem (pandas, numpy), ML libraries (scikit-learn, keras, etc) Experience in data visualization using PowerBI, Grafana, Tableau, or web development frameworks like Plotly Dash, Streamlit, etc. Promoting good software development practices including automated tests and documentation Experience with Version control (git, for example) Experience contributing code to a large software project Pragmatic, can balance short term and long term tradeoffs Realistic and credible advisor on machine learning Excellent communicator internally and with customers; Managing expectations of technical stakeholders at the customer. Mentoring and quality assurance of juniors’ work Cloud experience, such as building streaming calculations & models as serverless functions Deployment to production using provided infrastructure practices A track record of working in diverse industries Ready to stay up to date with latest developments in GenAI and using GenAI services to build use cases for customers Join the global Cognite community! 🌐 Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝 ITPL office location (Bengaluru) A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata 📷 to know more Flat structure with direct access to decision-makers, with minimal amount of bureaucracy Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners. Hybrid work environment globally Why choose Cognite? 🏆 🚀 Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇 Apply today! If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. We encourage you to follow us on Cognite LinkedIn ; we post all our openings there. Show more Show less

We’re hiring a Data Scientist skilled in Python and Machine Learning. You’ll build predictive models, analyze large datasets, and drive data-driven decisions. Strong problem-solving and experience with ML libraries required.

RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). data wrangling, data cleaning, data preprocessing, and data

Looking for a Data Scientist/Engineer with 7–12 yrs exp. Skilled in SQL, Python, Azure Data Factory, Databricks, ML, Power BI, Tableau, and data modeling. Strong understanding of AI, ML Flow, and analytics tools.

Company Description Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Our commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing tools necessary to connect with audiences globally. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech. Role Description This is a full-time on-site role for a Data Scientist, located in Gurgaon. The ideal candidate will combine strong technical expertise with an AI-driven mindset, leveraging both traditional data science methods and cutting-edge AI tools to drive business impact. This role requires someone who can work independently while collaborating effectively across cross-functional teams to solve complex business problems. Key Responsibilities Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). Research and develop analysis and forecasting and optimization methods across ads performance, content performance, and live experiments. Build and maintain automated data pipelines and analytical workflows Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Stay current with emerging AI technologies and evaluate their potential application to business problems Communicate complex findings to non-technical audiences through compelling visualizations and presentations Provide strategic recommendations based on data-driven insights to influence key business decisions Design and execute A/B tests and experiments to measure impact of business initiatives Work with engineering teams to productise models and ensure scalable deployment Maintain code quality standards and follow best practices for version control and documentation Optimize model performance and monitor deployed solutions for accuracy and reliability Ideal Candidate Profile 3+ years of experience in Data Science, ideally in advertising or media-related domains. Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). Deep experience working with large-scale structured and unstructured data. Strong foundation in machine learning and statistical modeling. Familiar with building and deploying models in production (basic MLOps knowledge). Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. Familiarity with generative AI tools and prompt engineering for analytical workflows Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and ability to work independently Technical Skills Languages & Tools : Python, PySpark, SQL ML Techniques : Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM LLM Tech : Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering Data Infrastructure : ETL tools, Postgres, BigQuery/Snowflake, S3/GCP Statistical Analysis : A/B testing, experiment design, causal inference Show more Show less

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. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 - 6 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) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) 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 Description Summary: What you need to know about the role Each Data Scientist 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 Scientist 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 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 3-6 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 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: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 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 paypalglobaltalentacquisition@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. REQ ID R0125915 Show more Show less

Job Overview: We are seeking a talented and driven Machine Learning Engineer to design and optimize machine learning models that will enhance a variety of credit and operational processes. This role will involve building cutting-edge solutions in areas like underwriting, loan processing, fraud detection, and risk mitigation, while continuously driving improvements through innovation and advanced techniques. Key Responsibilities: - Model Development & OptimizationDesign, deploy, and refine machine learning models to support key functions such as underwriting, account management, fraud detection, and loss prevention. - Advanced Techniques ImplementationIdentify opportunities to implement advanced machine learning approaches-such as Natural Language Processing (NLP), Image Recognition, and Graph Mining-to address complex business challenges. - Collaboration & Knowledge SharingWork with internal and external resources, as well as open-source algorithms, to find the best solutions and improve model performance. - Risk Management CompliancePartner with the Model Risk Management team to ensure models are developed with appropriate rigor and align with risk management and governance standards. - Cross-Functional CollaborationCollaborate closely with Product and Engineering teams to ensure seamless model deployment and integration. - Performance MonitoringTrack the effectiveness of models through dashboards and key performance indicators (KPIs), ensuring continuous improvement. - Stakeholder CommunicationPresent model insights and performance reports to key stakeholders in Credit, Risk, and Business Units, making complex findings accessible and actionable. Qualifications: - Educational BackgroundBachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. A Master's degree is highly preferred. - Experience6-12 years of hands-on experience developing and implementing machine learning models in a professional environment. - Technical ProficiencyStrong expertise in SQL and Python, with the ability to write efficient code for working with large datasets and creating advanced features. - Analytical ThinkingExceptional attention to detail and an ability to uncover hidden data patterns through thorough investigation. - Machine Learning ExpertiseSolid foundation in machine learning and statistical modeling, including supervised and unsupervised learning techniques like regression, decision trees, support vector machines, boosting, deep learning, and more. Must stay current with industry advancements to apply the best techniques. - Database KnowledgeProficient in working with SQL, NoSQL, Hive, and other relevant database technologies. - Effective CommunicationStrong ability to translate complex technical concepts into clear, understandable terms for non-technical stakeholders. Apply Save Save Pro Insights

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Data Scientist - L3 Requisition ID: 66250 City: Chennai Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do Demand generation through support in Solution development Support Go-To-Market strategy Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales Collaborate with different colleges and institutes for research initiatives and provide data science courses Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options Team Management Talent Management Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Analysis . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Job Summary: We are seeking a skilled Data Scientist with expertise in AWS, Big Data technologies, Hadoop, and AI/ML, including Generative AI, to join our data team. This role will be responsible for building and deploying scalable data models, processing large datasets, and applying advanced machine learning techniques to solve real-world business problems. Key Responsibilities: Design and develop scalable data pipelines using Big Data tools (Hadoop, Spark, etc.) on AWS. Work with large structured and unstructured datasets to extract insights and support decision-making. Build, train, and deploy machine learning and deep learning models. Collaborate with data engineers, cloud architects, and business stakeholders to implement end-to-end data science workflows. Communicate findings through visualizations and reports using tools like Python, R, or BI platforms. Requirements: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field. Proven experience with AWS cloud services and Big Data technologies (Hadoop, Spark, Hive). Strong programming skills in Python or R, with experience in ML libraries. Show more Show less

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Data Science Requisition ID: 64637 City: Hyderabad Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Mandatory Skills ML , Deep Learning, Langchain, RAG and (GenAI OR Computer vision OR Natural language processing OR Time series ) Good To Have GCP/Any cloud ͏ Solid understanding of python Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX Experience with natural language processing (NLP) and machine learning (ML) Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Familiarity with Prompt Design and prompt tuning for Generative AI models Ability to work on Vector Data Stores, custom embeddings and generate insights based on embeddings Exposure and familiarity in developing endpoints and frameworks like Flask or FastAPI Exposure and familiarity in using BigQuery (Basic understanding) Hands-on experience with using LangChain - Chain of Thoughts, tools, simple and sequential chain Strong communication and teamwork skills Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: AI Cognitive . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

Experience:- 3-10yrs Work mode – Currently this is remote (WFH) but it’s not permanent WFH , once business ask the candidate to come to office, they must relocate. Mandatory Skills:- NLP, DS, Python , SQL, Computer Vision Required Candidate profile • 4+ years of hands-on experience with Python and SQL (R is a plus) • 4+ years of data science/analytics experience • Experience with traditional Machine Learning • Experience with Deep Learning

About Us Please be aware we have noticed an increase in hiring scams potentially targeting Seismic candidates Read our full statement on our Careers page Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale The Seismic Enablement Cloud?is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia Learn more at seismic Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are Learn more about DEI at Seismic here, Overview Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in todays digital era Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate As we embark on an exciting journey of growth and expansion, we are seeking a talented Data Scientist to join our AI team in Hyderabad, India, Seismic AI AI is one of the fastest-growing product areas in Seismic We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes, Why Join Us Opportunity to be a key contributor in a rapidly growing company and drive innovation in the SaaS industry, Work with cutting-edge technologies and be at the forefront of AI advancements, Competitive compensation package, including salary, bonus, and equity options, A supportive, inclusive work culture, Professional development opportunities and career growth potential in a dynamic and collaborative environment, Who You Are As a Senior Data Scientist II, you will architect and develop complex AI applications, lead strategic technical initiatives, and mentor other data scientists and engineers to build next-gen AI capabilities You will own high-impact projects and work with cross-functional teams to design, build, and maintain scalable, high-performance models and AI applications that deliver exceptional value to our customers This position offers a unique opportunity to make an impact on our companys growth and success by bringing AI-powered features to life across our platform, including content discovery, learning and coaching, meeting intelligence and various AI capabilities This is a hands-on, high-ownership role ideal for a senior individual contributor ready to scale AI in production, Key Responsibilities What youll be doing: AI Application Development: Architect and develop robust and scalable data science and AI applications, including NLP, classification, retrieval-augmented generation (RAG), and conversational/agentic, and multi-agent systems, Mentorship and Leadership: Mentor and coach junior and mid-level data scientists and engineers, promoting technical excellence and knowledge sharing across the team, Model Optimization: Design and implement high-performance machine learning models and pipelines Continuously improve latency, robustness, accuracy, and scalability, Innovation and Technology Adoption: Evaluate and implement new tools, frameworks, and methodologies to improve the efficiency and quality of AI systems, Product Integration: Collaborate with AI engineers, software engineers, and product managers to seamlessly integrate AI features across Seismics products, Cross-functional Collaboration: Partner with UX, engineering, and product teams to design end-to-end intelligent experiences for our users, Decision-making and Ownership: Take ownership of complex decisions within your domain and contributing to goal-setting and strategy, What You Bring To The Team Experience: Bachelors degree and 8+ years of experience, or an advanced degree (Masters or PhD) with 6+ years of industry experience in data science or AI, Technical Expertise: Deep knowledge of AI and data science, including Generative AI, LLMs (OpenAI, Azure, Google, open-source), RAG pipelines, prompt engineering, NLP, and image models, Strong proficiency in Python, along with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow, Hands-on experience with HuggingFace, LangChain, and cloud-native AI services, Cloud Expertise: Experience with AWS, Azure, or GCP for model training, deployment, and data workflows, Familiarity with MLOps and model lifecycle management in production environments, Product Thinking: Ability to translate complex business challenges into technical solutions that scale, Experience in collaborating with product management and design in a product triad model, Proven track record of delivering AI-powered features from concept to production, Education: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field, Other Skills: Excellent communication and collaboration skills, Strong decision-making ability and a thoughtful, data-driven approach to solving problems, Experience working in a fast-paced SaaS or tech-driven environment, What We Have For You At Seismic, were committed to providing benefits and perks for the whole self To explore our benefits available in each country, please visit the Global Benefits page, If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please click here, Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales enablement, backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T Rowe Price Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft, Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law, Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job Duties, responsibilities and activities may change at any time with or without notice,

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do 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 Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Contributing to the Data Science efforts of AB InBev?s global non-commercial analytics capability of Supply Chain Analytics Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets, Key tasks & accountabilities Understand the business problem and and translate that to an analytical problem; participate in the solution design process Working with Analytics Manager to create project plan, and design analytics roadmap Independently lead project delivery End to end development of AI/ML models Ability to communicate findings clearly to both technical and business stakeholders Should be able to quantify the impact, and continuously implement improvements Document every aspect of the project in standard ways Qualifications, Experience, Skills Level Of Educational Attainment Required Tech/BE/ Masters in Statistics or Economics/ econometrics, MBA Previous Work Experience Minimum 5 years of relevant experience Preferred industry exposure CPG, Consulting with 5+ years (in case of consulting the typical profile would be of a Lead consultant with relevant experience mentioned in the point below) Experience of working in the domain of Supply Chain Analytics preferred (assessment of the pillars to be made on the past companies of the candidate) ?preferably in a CPG organization? with a demonstrated capability of successfully deploying analytics solutions and products for internal or external clients Has interacted with Senior internal or external stakeholders around project/ service conceptualization and plan of delivery, Technical Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of writing end-to-end ML or data pipelines in python) Proficient in application of ML concepts and optimization techniques to solve end-to-end business problems Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Demonstrated leadership skills, Passion for solving problems using data, Detail oriented, analytical and inquisitive, Ability to work independently and with others, And above all of this, an undying love for beer! We dream big to create future with more cheers,

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 Description Job Title: ManagerGBS Commercial Location: Bangalore Reporting to: Senior Manager GBS Commercial Purpose of the role This role sits at the intersection of data science and revenue growth strategy, focused on developing advanced analytical solutions to optimize pricing, trade promotions, and product mix The candidate will lead the end-to-end design, deployment, and automation of machine learning models and statistical frameworks that support commercial decision-making, predictive scenario planning, and real-time performance tracking, By leveraging internal and external data sources?including transactional, market, and customer-level data?this role will deliver insights into price elasticity, promotional lift, channel efficiency, and category dynamics The goal is to drive measurable improvements in gross margin, ROI on trade spend, and volume growth through data-informed strategies, Key tasks & accountabilities Design and implement price elasticity models using linear regression, log-log models, and hierarchical Bayesian frameworks to understand consumer response to pricing changes across channels and segments, Build uplift models (e-g , Causal Forests, XGBoost for treatment effect) to evaluate promotional effectiveness and isolate true incremental sales vs base volume, Develop demand forecasting models using ARIMA, SARIMAX, and Prophet, integrating external factors such as seasonality, promotions, and competitor activity, time-series clustering and k-means segmentation to group SKUs, customers, and geographies for targeted pricing and promotion strategies, Construct assortment optimization models using conjoint analysis, choice modeling, and market basket analysis to support category planning and shelf optimization, Use Monte Carlo simulations and what-if scenario modeling to assess revenue impact under varying pricing, promo, and mix conditions, Conduct hypothesis testing (t-tests, ANOVA, chi-square) to evaluate statistical significance of pricing and promotional changes, Create LTV (lifetime value) and customer churn models to prioritize trade investment decisions and drive customer retention strategies, Integrate Nielsen, IRI, and internal POS data to build unified datasets for modeling and advanced analytics in SQL, Python (pandas, statsmodels, scikit-learn), and Azure Databricks environments, Automate reporting processes and real-time dashboards for price pack architecture (PPA), promotion performance tracking, and margin simulation using advanced Excel and Python, Lead post-event analytics using pre/post experimental designs, including difference-in-differences (DiD) methods to evaluate business interventions, Collaborate with Revenue Management, Finance, and Sales leaders to convert insights into pricing corridors, discount policies, and promotional guardrails, Translate complex statistical outputs into clear, executive-ready insights with actionable recommendations for business impact, Continuously refine model performance through feature engineering, model validation, and hyperparameter tuning to ensure accuracy and scalability, Provide mentorship to junior analysts, enhancing their skills in modeling, statistics, and commercial storytelling, Maintain documentation of model assumptions, business rules, and statistical parameters to ensure transparency and reproducibility, Other Competencies Required Presentation Skills: Effectively presenting findings and insights to stakeholders and senior leadership to drive informed decision-making, Collaboration: Working closely with cross-functional teams, including marketing, sales, and product development, to implement insights-driven strategies, Continuous Improvement: Actively seeking opportunities to enhance reporting processes and insights generation to maintain relevance and impact in a dynamic market environment, Data Scope Management: Managing the scope of data analysis, ensuring it aligns with the business objectives and insights goals, Act as a steadfast advisor to leadership, offering expert guidance on harnessing data to drive business outcomes and optimize customer experience initiatives Serve as a catalyst for change by advocating for data-driven decision-making and cultivating a culture of continuous improvement rooted in insights gleaned from analysis, Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders while fostering an environment of ownership, collaboration, and mentorship within the team, Technical Skills Must have Data Manipulation & Analysis: Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel for structured data processing, Data Visualization: Expertise in Power BI and Tableau for building interactive dashboards and performance tracking tools, Modeling & Analytics: Hands-on experience with regression analysis, time series forecasting, and ML models using scikit-learn or XGBoost, Data Engineering Fundamentals: Knowledge of data pipelines, ETL processes, and integration of internal/external datasets for analytical readiness, Proficient in Power BI, Advanced MS Excel (Pivots, calculated fields, Conditional formatting, charts, dropdown lists, etc ), MS PowerPoint SQL & Python, Business Environment Work closely with Zone Revenue Management teams, Work in a fast-paced environment, Provide proactive communication to the stakeholders, This is an offshore role and requires comfort with working in a virtual environment GCC is referred to as the offshore location, The role requires working in a collaborative manner with Zone/country business heads and GCC commercial teams, Summarize insights and recommendations to be presented back to the business, Continuously improve, automate, and optimize the process, Geographical Scope: Global Qualifications, Experience, Skills Level of educational attainment required Bachelor or Post-Graduate in the field of Business & Marketing, Engineering/Solution, or other equivalent degree or equivalent work experience, Previous work experience 5-8 years of experience in the Retail/CPG domain, Extensive experience solving business problems using quantitative approaches, Comfort with extracting, manipulating, and analyzing complex, high volume, high dimensionality data from varying sources, And above all of this, an undying love for beer! We dream big to create future with more cheer,

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do 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: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)?s Logistics Analytics team is responsible for transforming the companys Supply Chain by embedding intelligence across key process areas in Inventory Planning, Transportation & Warehousing, Key tasks & accountabilities You will collaborate with product owners from business functions to translate business problem into Data Science use case, You are expected to explore and develop ML/AI algorithms to solve new business problem or improve the existing methodology, model accuracy etc You will work on building code that will deploy into production, using code design and style standards, You will document your thought process and create artefacts on team repo/wiki that can be used to share with business and engineering for sign-off, You will significantly improve the performance and reliability of our code that create high quality and reproducible results, You will collaborate with other team members to advance team?s ability to ship high quality code, fast! You will maintain basic developer hygiene that includes but not limited to, writing tests, using loggers, readme to name a few, Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or Masters in engineering (CS) b-tech/BE/ Masters in data science, statistics, applied mathematics, mathematics, economics, etc Previous Work Experience Minimum 36+ years of relevant experience in Analytics & Data science / building ML models Preferred industry exposure CPG or Supply Chain domain & capability of successfully deploying analytics solutions and products for internal or external clients Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of object-oriented design concepts & able to write end-to-end ML or data pipelines in python) Proficient in application of one or more and has exposure to others ML concepts (like regression, classification, clustering, time series forecasting) and optimization techniques(Linear & Non Linear optimization) to solve end-to-end business problem Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers

Hello, Urgent job openings for Data Science(Gen AI & LLM) :- Team Lead/ Sr Engineer @ GlobalData(Hyd). Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand the requirement. if requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science(Gen AI/LLM) - Lead/SSE @ GlobalData(Hyd) Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Job Description: Senior Engineer/Lead - Gen AI/LLM Position Overview:- We are seeking a talented Lead/Senior Engineer AI/LLM Developer to join our team and drive the development of cutting-edge artificial intelligence solutions using large language models. In this role, you will design, build, and optimize LLM-based applications that solve complex business problems while maintaining high standards of performance, scalability, and reliability. Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices Role Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.' Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field Thanks & Regards, Salim (Human Resources)

Subject: Exciting Opportunity for Data Scientist- Face-to-Face Interview on 31st May at EY Hyderabad Office Dear Candidate, We hope this message finds you well! This is Nisha, Talent Acquisition Specialist at EY, and I am excited to inform you about an upcoming Hiring event for Data Science Role- at the EY Hyderabad Office . We are looking for talented professionals to join our team. Below are the details for the open positions: Position : Data Scientist Experience : 4-8 years Location : Hyderabad Interview Mode : Face-to-face interview at the EY Hyderabad office Interview Date : 31st May 2025 If you are interested in applying, please use the following link to apply for the role: Career Opportunities: EY - GDS Consulting - AI and DATA -Gen AI - Senior (1606310) Additionally, please share the following details in the format provided below: Years of Experience Current Compensation Relevant Experience in : GEN AI, LLM, NLP, Python, AI Solution, AI ,ML Expected Compensation Notice Period/ If your serving notice period mention last working day Will you be available to attend interview on 31st May at Hyderabad Office Yes / No Please confirm your availability for the interview by replying to Nisha.V@gds.ey.com with the requested details and updated resume. We look forward to discussing your potential with EY! Best Regards, Nisha Lead Executive

The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in labor scheduling, inventory and capacity planning, network flows, and supply chain optimization. A Senior Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members. Qualifications Bachelors Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc) OR Masters Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also Knowledge of SQL and various statistical modeling or machine learning techniques Preferred Qualifications Ph.D. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field 3 years of experience performing predictive analytics at a large scale enterprise 3 years of experience in data science or advanced analytics in industry SQL Experience Programming experience (Python, Java, Scala, Rust, etc) Experience using multiple data systems and sources (such as Hadoop, Spark, Aster, Teradata, etc)

We are looking for Senior Data Scientist with experience of Managing large portfolios to develop PayPal s Risk strategy within the SMB product solutions team. This portfolio is comprised of PayPal s newest leading-edge SMB payments solutions, as we'll as customized experiences developed for the company s highest-priority strategic partnerships. Your Way to Impact: This role will be the end-to-end owner of the Zettle 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. If you're interested in working with PayPal s most interesting payments experiences, then this is the right team for to join! Your day to day : Each Decision Scientist on this team has full ownership of a portfolio of products 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. Works independently and proficiently. Accountable for own results. Reviews are mainly for consultation and sharing ideas Works on multiple assignments simultaneously and in all areas of a standard project in the area of responsibility What do you need to bring Strong analytical skills -- ability to build quick estimates using back-of-the-envelope analysis, structure (and, if needed, execute) more complex analyses, pull together business cases and forecasts to navigate through multi-dimensional sets of tradeoffs. Enthusiasm for data-driven problem solving within a fast-paced environment is a must. In addition, experience with Microsoft Excel or statistical software, working knowledge of SQL or other relational database languages, and hands-on experience in data analysis involving large data sets are strongly desired Work experience at the management consulting firms is a plus. Polished communication and influence skills - risk decision scientists need to collaborate cross-functionally with product managers, data scientists, business owners, and customers to learn from subject-matter experts, present findings in a clear and concise manner, and reach alignment on how to execute risk strategies. Demonstrated ability to influence groups and effectively resolve conflicts is required. An innate intellectual curiosity, and a willingness to build awareness of current payments industry and risk management best practices. PayPal is constantly innovating by introducing new products and entering new markets, so successful risk analysts on this team must quickly get up speed on new content areas. You will be expected to become an expert in your specific domain. Can-do attitude, team player, energetic personality, ability to work we'll under pressure in a fast-paced and constantly changing environment to meet deadlines. The successful risk analyst is a self-starter who has the resilience to learn from their mistakes and reach their true potential. Identify typical problems and issues during normal course of work and take proactive actions to solve them with minimum guidance. Recommends changes to policies and establishes procedures that affect immediate organization(s). Exercises discretion in resolving a variety of issues in imaginative as we'll as practical ways. Impact of decision has moderate to large reach Offers insight for and contributes to improving existing technology, tools, processes, and business solutions. Adds value to brainstorming sessions BS/BA degree with 8+ years of related professional experience or masters degree with 6+ years of related experience. Focuses primarily on how to achieve overall analytic objectives of a project with speed and quality. Suggests ideas for operational plans and objectives Clear subject matter expert within group / geography Works independently and proficiently on multiple assignments simultaneously with speed and quality Manage junior decision/data scientists

Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Masters degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 4-7 years of data science work experience, including implementing machine learning and NLP models using real-life data. Strong research skills, with a proven track record of developing and implementing advanced machine learning algorithms. Advanced knowledge of supervised and unsupervised machine learning algorithms. Excellent proficiency in Python programming. Experience with deep learning models and libraries such as PyTorch, TensorFlow, Hands-on experience with transformer models and Gen AI frameworks (HuggingFace, AWS Bedrock, Azure Foundry ). Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Experience deploying models in production environments, ensuring scalability and performance using AWS/GCP/Azure Familiarity with relational databases and query languages (eg, MSSQL) and basic SQL knowledge. Experience with Retrieval-Augmented Generation (RAG) pipelines Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience working on international, globe-spanning teams. Past participation in a formal research setting. Experience as part of a software organization

As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail ; Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Closely partners with the Senior Manager ; Director of Data Science to drive data science adoption in the domain Guides. data scientists, senior data scientists ; staff data scientists across multiple sub-domains to ensure on-time delivery of ML products Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Drive synergies across different products in terms of algorithmic innovation and sharing of best practices. Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives What You Will Bring Masters with > 10 years OR Ph.D. with > 8 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Minimum 6 years of experience as a data science technical lead Ability to lead multiple data science projects end to end. Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation ; Gen-AI In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Ability to scale and deploy data science solutions. Strong Experience with one or more of Python and R. Experience in GCP/Azure Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) Experience with GPU/CUDA for computational efficiency Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field.

we're hiring a Staff Scientist for Uber s Direct, Connect, and Grocery Delivery team three of the company s fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime. In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber s delivery platforms. you'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights ensuring every decision is grounded in rigorous, data-driven thinking. we're looking for someone with deep analytical expertise and a strong business mindset an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products. What you'll Do: Serve as Science Tech Lead (IC) for a team based in India, supporting Uber s Direct, Connect, and Grocery Delivery business. Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences. Translate complex data into actionable insights for executives and cross-functional stakeholders. Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap. Mentor scientists and promote best practices in data science and machine learning. Foster a culture of scientific rigor and strong cross-functional collaboration. What you'll Need: Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment.