410 Logistic Regression Jobs - Page 6

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. A typical day involves collaborating with various stakeholders to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs, ensuring they align with business objectives while also considering user experience and technical feasibility. Your role will require you to balance creativity with analytical thinking, as you work to create solutions that are both innovative and practical. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with data preprocessing and feature engineering techniques.- Familiarity with programming languages such as Python or R for model development.- Ability to work with data visualization tools to present findings effectively. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : ServiceNow Governance, Risk, and Compliance (GRC) Good to have skills : ServiceNow IT Service ManagementMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for ensuring the successful delivery of projects and collaborating with cross-functional teams to achieve project goals. Your creativity and expertise will contribute to the development of innovative solutions and drive the success of our applications. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the effort to design, build, and configure applications.- Act as the primary point of contact for project-related activities.- Ensure the successful delivery of projects.- Collaborate with cross-functional teams to achieve project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow Governance, Risk, and Compliance (GRC).- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in ServiceNow Governance, Risk, and Compliance (GRC).- This position is based in Mumbai with location flex for cross location resource.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency in your work. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Familiarity with Agile methodologies and project management tools.- Experience in integrating SAP applications with other enterprise systems. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Design, develop, and optimize WiFi solutions with a focus on WiFi 6 features and enhancements. Conduct in-depth tuning and optimization of RF parameters to ensure peak performance and reliability. Work on advanced networking protocols and configurations to support seamless connectivity. Collaborate with cross-functional teams to integrate WiFi features into larger systems. Analyze and resolve complex WiFi performance issues, including RF interference, coverage gaps, and capacity challenges. Contribute to the development of test frameworks and tools for WiFi validation. Required Skills and Experience: Proven expertise in WiFi technologies, including detailed knowledge of WiFi 6 (802.11ax) feature sets such as OFDMA, MU-MIMO, TWT, and BSS Coloring. Strong understanding of RF principles, parameter tuning, and optimization techniques. Solid experience in Linux-based development, including scripting, driver-level programming, and debugging. Strong background in networking protocols (e.g., TCP/IP, DHCP, DNS, routing, and switching). Familiarity with WiFi standards, certifications, and regulatory compliance. Familiarity with mesh networking and multi-AP coordination. Knowledge of network security protocols such as WPA3. Experience with performance tuning tools (e.g., iperf, Wireshark) and RF analysis tools (e.g., spectrum analyzers).

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities Model Development: Familiar with different statistical, ML and ensemble algorithms Proficient with Time series algorithms and forecasting usecases Understand model specific strengths and weaknesses and know-how of suitable and unsuitable models for different problems Understand evaluation metrics and recommend the correct evaluation metric for a problem type Data Analysis: Extract meaningful insights from structured data. Preprocess data for ML / AI applications Collaboration: Work closely with data scientists, engineers, and business stakeholders. Provide technical guidance and mentorship to team members. Integration and Deployment: Integrate ML models into production systems. Implement CI/CD pipelines for continuous integration and deployment. Documentation and Training: Document processes, models, and results. Provide training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in computer science, Engineering, or a related field. Strong programming skills in Python and R Experience with DS frameworks (SKLEARN, NUMPY). Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Predictive Analytics Experience inMachine Learning techniques Experience in Python/R/ Any other open-source programming language Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools Good to have - Experience in visualization tools such as Tableau, Power BI, Qlikview etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning etc. Experience with big data technologies (Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Job Business Analyst Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 8:47:23 AM Unposting Date May 1, 2025, 7:29:00 PM Master Skills List Digital Job Category Full Time,

Role & responsibilities The Assistant Manager/Deputy Manager Business Analysis is responsible for solving unstructured business problems using advanced analytics, developing data-driven strategies to improve profitability and processes in the collections business , and presenting insights to global leadership. The role includes both technical analytics execution and strategic implementation ownership with VP-level stakeholder interaction. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Experience: 26 years in analytics/consulting, with 2+ in financial services. Skills: SQL, Python (Pandas, PySpark), Azure (Must) Excel, PowerPoint. Traits: Strong problem-solving, project management, and communication/storyboarding skills. Education: Bachelor's/Masters with strong and consistent academic record in Engineering or quantitative/statistical background preferred.

What We're Looking For Bachelors degree or final year students can also apply Good analytical and problem solving skills Good knowledge of Python and analytical tools/libraries Responsibilities Apply statistical methods and techniques to analyze data and derive meaningful insights. Conduct hypothesis testing, correlation analysis, and regression analysis using Pythons statistical libraries Create reports, dashboards, and data visualizations using tools like Tableau, Power BI, or Dash. Automate report generation and scheduling using Python scripts. Ensure the accuracy, completeness, and reliability of data through data validation and quality assurance processes. Identify and address data anomalies, errors, and inconsistencies. Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to understand business requirements and deliver actionable insights. Communicate analysis findings and recommendations effectively to technical and non-technical audiences.

Minimum qualifications: Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. 4 years of experience with physical design flow such as floor planning, place and route, or physical verification. Experience with low-power design techniques, such as power gating, clock gating, or voltage scaling. Preferred qualifications: Experience in using Machine Learning (ML) in physical design. Knowledge of machine learning algorithms from logistic regression to deep neural networks and reinforcement learning. Knowledge of data structures and algorithms. About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will contribute to improving Power Performance Area (PPA) using machine learning techniques. You will use the experience of physical design and machine learning to solve technical problems and improve on Power, Performance, Area and Schedule. You will work on design and optimizations, floorplan, place and route, clock and power planning, timing analysis, and Power Delivery Network (PDN) analysis. You will collaborate across Alphabet working with design, CAD and machine learning teams. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Deploy Artificial Intelligence (AI) solutions into chip design, work with internal teams, Google DeepMind and other teams to explore solutions and apply to improve chip design PPA or cycle time.

Job Title: AI/ML Engineer Location: Bangalore (Hybrid) Experience: 3+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us? Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture. How to Apply: If youre passionate about AI and eager to build next-gen AI applications, wed love to hear from you!

Flipkart is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journeyData Analysis: Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process.Machine Learning: Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection.Model Validation: Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability.Data Visualization: Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholders.Predictive Analytics: Utilize predictive modeling techniques to forecast business outcomes, customer behavior, and market trends to support business planning and strategy.Data-driven Decision Making: Collaborate with cross-functional teams to translate analytical findings into actionable insights and drive data-driven decision-making across the organization.Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new tools and techniques to improve analytical capabilities.Data Governance: Advocate for data integrity and quality, ensuring that data sources are reliable and appropriately managed, and comply with data privacy and security regulations.

Job Title: Fraud & Credit Risk - Decision Science Location: Thane What does a successful Data Scientist, Fraud & Credit Risk - Decision Science do at FISERV? You'll be a part of Global Business Solutions (Merchant business) Fraud and Credit Decision Science team, responsible for developing and deploying predictive ML models in the form of automated risk controls that help in reducing fraud and credit risk losses as well as enabling top line growth. As a part of this team, youll be using internal and external data assets to generate insightful analytics, build models/rules, create data driven capabilities/ solutions to manage risk and identify new areas of opportunity.Key functions supported by the team include New Merchant On-boarding & Underwriting, Existing Merchant Risk Monitoring, Lending Products, and other/ commercial Risk Solutions. This position will be a critical interface with stakeholders within and outside Fiserv in building best-in-class analytical solutions. We'll help you to: Become a key enabler to develop data driven capabilities and implement automated decisions using existing and new data, advanced analytics and ML based predictive models Get great exposure to the payments industry, the merchant and transaction data that flows through payment networks as we apply innovative techniques to prevent fraud and credit losses, and support growth, specifically from digital channels. Measure and realize how your work contributes to reducing losses/ expenses and supporting business growth/revenue. What will you do? Designing and implementing ML / predictive models by utilizing internal and external data available and applying statistical techniques Tracking and monitoring model performance and provide analytical support to business partners for addressing their questions regarding automated decisions or automated alerts through informed analytics Conduct complex analysis using statistical and other industry leading quantitative techniques Evaluating and integrating data from internal and external sources to support modelling, analytics, and reporting Proactively using data to generate useful insights by assessing key performance indicators / trends and presenting to business leaders Partnering with business and technical SMEs to understand relevant data, analyze and perform necessary deeper-dives to solve given business problem, summarize and present key findings Supporting the transformation of risk data capabilities and decision systems through advanced and sustainable technology, new data sources and real-time decision Implementing models and decision rules in production in partnership with IT / deployment teams Develop documentation to support internal and external stakeholder requirements Develop and coach junior team members on daily basis Establish the scope of the project, lead internal communication with stakeholders, and ensure delivery of projects per commitment What will you need to know? You're the kind of person who: Loves to collaborate Can roll up their sleeves and make an impact Has superb communication and interpersonal skills Strong technical skills and problem-solving ability (analytically sound) Can work on multiple projects while still meeting deadlines Basic qualifications for consideration: Bachelors degree in a quantitative field (Mathematics /Statistics / Computer Science / Engineering) 7+ years of hands-on experience in one or more of the following areas: risk / marketing data analytics or predictive modelling Proficient in SQL/Python/SAS, Excel or other analytical tools / open-source programming languages What would be great to have? Master's Degree in a quantitative field (Mathematics / Statistics / Computer Science / Engineering) 7+ years of relevant experience Exposure to and knowledge of statistical / financial modelling in FINTECH / Payments domain Experience with credit bureaus and other external data sources Hands-on experience with AI / Money Laundering techniques Eligible to work in the India (Thane)

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resources. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviours, particularly those that most impact business and marketing goals. Able to work successfully with teams, handling multiple projects and meeting client expectations. Qualifications 9-12 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects. Understanding of econometric analysis and advanced analytics solutions around survey data and of web analytics data as well. Good working knowledge and understanding of Market mix modelling/advance analytics is a must have skill. Data wrangling/story building are good to have Good knowledge in Shell Scripting, Unix/Linux, familiarity with Visualization tool and ETL tools is beneficial. Should be able to work independently, interpret data effectively, and deliver detailed reports for clients. Excellent communication skills. Familiarity with digital media concepts & tools and web analytics. Knowledge and experience with syndicated research sources/tools.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Job Overview: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Wireless Connectivity Modem Systems Engineer, you will research, design, develop, verify, validate, and commercialize Wireless connectivity modem as a product or component within a product. Works on the implementation of a multi-RAT (Radio Access Technology) wireless connectivity modem from industry specifications (such as Bluetooth, UWB, IEEE 802.15.4, etc.). Has experience in the wireless connectivity specifications and can efficiently implement the shared resources of a multi-RAT modem. Works closely with other functional groups to develop a cost effective, high quality and high capability modem that meets industry and customer requirements with high performance (e.g., throughput, latency, power consumption) and acceptable cost (e.g., silicon area, calibration complexity, code size). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications: Master's degree or PhD in Electrical Engineering, or related field . 4+ years of experience in at least one or more of the following areasCommunication theory, digital signal processing, information theory, channel coding, and probability and random processes. Strong analytical and problem-solving skills. Ability to program effectively in C/C++, Python and/or Matlab. 2+ years of experience working in a large matrixed organization. 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Sr. Staff level and above). Principal Duties and Responsibilities: Leverages and applies advanced modem knowledge (e.g., RF, baseband signal processing, communication protocols) and design methodology for areas within modem hardware, systems, or firmware to execute modem assignments; participates in and shares own perspective within domain of modem subject matter expertise in design reviews and project meetings. . Performs functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems. Develops new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Level of Responsibility: Works under supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Your opportunity We are seeking an experienced and dynamic Senior Data Scientist to join our team. You will be primarily responsible for driving data-oriented projects and transforming ambiguous business problems into clear, actionable insights as well as productionalizing insights. The ideal candidate is adept at understanding the business needs that are often quantitatively ambiguous and using large complex data sets to find opportunities for product and process optimization. You should be able to work independently, take an idea and run with it, and deliver high-impact results. What youll do Analyzing complex datasets, applying advanced statistical methods as necessary (e.g., time series forecasting, classification, linear/logistic regression). Designing and deploying data-science and technology-based algorithmic solutions to address business needs. Translating data findings into actionable business insights and plans. Collaborating effectively with internal stakeholders, understanding their needs and being able to communicate data-driven recommendations. Presenting information using data visualization techniques and clearly communicating complex findings and ideas to non-technical stakeholders. This role requires Proven experience as a Data Scientist, or in a similar role. 4 to 8 years of relevant work experience Masters degree in Statistics, Mathematics, Computer Science, or related quantitative field. Strong understanding and application of advanced statistical techniques and concepts, including but not limited to machine learning algorithms, c lassification, regression, and time series analysis. Proficiency with data analysis tools and languages such as Python, SQL, etc. Familiarity with data visualization tools (e.g., Looker, Tableau, PowerBI, etc.). Strong problem-solvin g abilities, business acumen, and excellent communication skills. Ability to work independently and with minimal supervision. Proven ability in managing and delivering on multiple, competing priorities. Prior experience with stakeholder management and ability to present complex data in a clear manner to non-technical audience. Demonstrated ability to translate business needs into data science / analytical initiatives. Bonus points if you have Experience in Observability is a plus Please note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics different backgrounds and abilities, and recognize the different paths they took to reach us - including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. . We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid. Our hiring process In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic. We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance . Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic. Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics. Review our Applicant Privacy Notice at https: / / newrelic.com / termsandconditions / applicant-privacy-policy

Job Description Summary In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large scale computing frameworks, data analysis systems and modeling environments. .

Job Overview This position supports organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modeling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight and guidance on statistical analysis efforts. Communicates findings and recommendations to management across different departments. Supports implementation efforts Experience & Education: Total experience of 10-15 years (relevant Analytics experience at least : 8 years and minimum of 3-4 Years As manager handling Team directly.) Industry Experience and knowledge especially in Manufacturing/ Operations Functions in a energy sector, automotive, Manufacturing, Process or Pharma preferred. Bachelors degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 12+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 10+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development. PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8+ years of relevant work experience in in Data Science, Artificial Intelligence or Machine Learning algorithm development Essential Responsibilities: Statistical Analyis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Builds programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines best approach to address business issues. Working with business partners, leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Builds predictive models (e.g., logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Researches and maintains awareness of industry best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Researches and leverages new statistical techniques and technologies to apply in their statistical research work. Required Skills/Competencies: Minimum of 8+ years of Handson experience in advanced Machine Learning & Deep Learning techniques and algorithms such as Decision Trees, Random Forests, SVMs, Regression, Clustering, Neural Networks, CNNs, RNNs, LSTMs, Transformers, etc. 6+ years of experience in experience in statistical computer languages (Python, PySpark etc.) to manipulate data and draw insights from large data sets 5+ years of experience in Cloud platforms like AWS with specific experience of leveraging AWS services and deploying AI / ML models on these platforms Experience in DL frameworks such as TensorFlow, Keras or PyTorch Familiarity with business intelligence tools (e.g. Qlikview) and data frameworks will be an added advantage. Proficient with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Experienced with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Have solid understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Have solid understanding of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Knowledge of and experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Handson experience in statistical and data science techniques Knowledge and experience in developing and deploying Gen AI Solution. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Strong self-direction, initiative, and ability to prioritize multiple tasks from various requestors, demonstrated ability to manage multi-faceted projects Excellent Technical Presentation Skills Leadership & Soft skills: Lead by example on values and culture. Open-minded, collaborative and an effective team player. Ability to work in a multicultural and diverse team. Driven for success and aspiring to a culture of service excellence, always putting the customer, our people and our business at the center of everything he/she does. Ability to deal with ambiguity. Ability to communicate openly and effectively with many diverse stakeholders, with external vendors and auditors, and with staff. Ability to work proactively and under pressure considering the criticality required to ensure the right quality of service for the business.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Basis Administration, OpenText Documentum Good to have skills : NAMinimum NA year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are functioning optimally. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Basis Administration, OpenText Documentum.- Experience with application lifecycle management tools.- Strong understanding of database management and optimization techniques.- Familiarity with cloud computing platforms and services.- Ability to troubleshoot and resolve application-related issues efficiently.-open text experience is must under BHP Release Upgrade project Additional Information:- The candidate should have minimum 5 years of experience in SAP Basis Administration.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualification Who we are looking for 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Core Banking Good to have skills : Business AnalysisMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Research, gather, and synthesize information. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop business strategies and provide recommendations for process improvements.- Collaborate with stakeholders to gather and analyze business requirements.- Create detailed documentation of business processes and system requirements.- Conduct gap analysis and propose solutions to enhance business operations.- Assist in the implementation and testing of new systems or processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Core Banking.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Core Banking.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated with industry trends and best practices to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.- Mentor junior team members, providing them with guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of statistical analysis and machine learning algorithms.- Hands-on experience with data cleaning, transformation, and normalization techniques.- Ability to interpret complex data sets and provide actionable insights. Additional Information:- The candidate should have minimum 3 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Solution and deliver analytics offerings for the bank to drive revenue or enable cost optimization. Build models, move them to production and maintain/ enhance on an ongoing basis in production. Become an analytics consultant and evangelist within the bank finding analytical solutions to business problems. Position Responsibilities Work closely with the data warehouse team/other business teams to obtain relevant data for implementation. Be comfortable working with structured / unstructured data sources and be conversant to perform secondary research to explore third party data sources to enrich existing data Support the overall digital acquisition strategy by focusing on segmenting/ predicting response rates for leads which are a pre-requisite for improving response rates Create/supervise building of models around channel migration ,cross sell , upsell and support the overall customer engagement strategy Support the implementation of various technology(recommendation engine, campaign management solution, CRM) /data enablers(Creation of data sets ,mart etc) for the analytics practice within the bank Implementation of specific use cases on big data platforms . Essential Graduate (B.E /B.Sc Stats/M.Sc Stats or equivalent) 3+ years in the analytics space Managed diverse stakeholders from various teams, in complex environments Grasp of basic Supervised/ Unsupervised ML algorithms and a demonstrated ability to learn quickly Thorough understanding of banking domain would be a plus point Experience in working with SQL & R/other similar statistical programming languages .Knowledge of other statistical programming languages like Python will be an added advantage Attribute Team player, detail oriented, self-motivated individual Candidate should have a strong understanding of analytical modeling techniques and statistical concepts that are relevant to the application and evaluation of models.

We are seeking an experienced and dynamic Data Scientist to join our team. You will be primarily responsible for driving data-oriented projects and transforming ambiguous business problems into clear, actionable insights as well as productionalizing insights. The ideal candidate is adept at understanding the business needs that are often quantitatively ambiguous and using large complex data sets to find opportunities for product and process optimization. What youll do Analyzing complex datasets, applying advanced statistical methods as necessary (e.g., time series forecasting, classification, linear/logistic regression). Designing and deploying data-science and technology-based algorithmic solutions to address business needs. Translating data findings into actionable business insights and plans. Collaborating effectively with internal stakeholders, understanding their needs and being able to communicate data-driven recommendations. Presenting information using data visualization techniques and clearly communicating complex findings and ideas to non-technical stakeholders. This role requires 3+ years of experience Proven experience as a Data Scientist, or in a similar role. PhD or Masters degree in Statistics, Mathematics, Computer Science, or related quantitative field. Strong understanding and application of advanced statistical techniques and concepts, including but not limited to machine learning algorithms, classification, regression, and time series analysis. Proficiency with data analysis tools and languages such as Python, SQL, etc. Familiarity with data visualization tools (e.g., Looker, Tableau, PowerBI, etc.). Strong problem-solving abilities, business acumen, and excellent communication skills. Ability to work independently and with minimal supervision.Proven ability in managing and delivering on multiple, competing priorities. Prior experience with stakeholder management and ability to present complex data in a clear manner to non-technical audience. Bonus points if you have Experience in Observability is a plus.

Scientist, Decision Sciences- Pune India Are you ready to join a growing Decision Sciences team in a global company that customers depend on to prevent fraudulent transactions? Do you want to work in a role that has a direct impact on our customer experience? Join Western Union as Scientist, Decision Sciences. Western Union powers your pursuit. The Decision Scientist will be part of the Decision Sciences team responsible for managing fraud losses while optimizing revenue opportunities on online Western Union transactions. In this role you will use your analytical skills to develop and maintain a suite of risk models and rules to ensure our customers, as well as Western Union, are protected against fraud. Role Responsibilities Develop real time and batch risk models to screen online transactions and stop fraudulent ones Document and communicate model results and insights internally Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests Continuously track and evaluate the effectiveness of risk models and rules Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities Profile customer behavior to identify opportunities to enhance model/rule performance Role Requirements Preferably Masters degree or Graduate degree in quantitative related field (Statistics, Math, Operations Research, MS, M-tech, B-tech etc) required with proven track record in using advanced quantitative and statistical technique. Minimum bachelor s degree in quantitative field required. 3+ years of relevant experience. Data analytics related Master thesis or certified coursework projects will add additional value. Strong problem solving and analytical skills Strong communication skills to convey fraud insight Ability to analyze problems and produce justification to enhance fraud decisions. SQL and at-least one of the Python/R programming experience and aptitude to learn on the job. Working knowledge of developing predictive models like logistic regression, decision tree etc and machine learning techniques Intermediate knowledge of Microsoft Excel/Power BI/PPT Exposure to cloud systems like AWS Sagemaker/ Dataiku is preferred We make financial services accessible to humans everywhere. Join us for what s next. Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you re ready to help drive the future of financial services, it s time for Western Union. Learn more about our purpose and people at https: / / careers.westernunion.com / . Benefits You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few ( https: / / careers.westernunion.com / global-benefits/ ). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interview process or in an offer of employment. Your India specific benefits include: Employees Provident Fund [EPF] Gratuity Payment Public holidays Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave Annual Health Check up Hospitalization Insurance Coverage (Mediclaim) Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance Cab Facility Relocation Benefit Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate. Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week. We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws. Estimated Job Posting End Date: 07-07-2025 This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

Data Scientist - Multi-Touch Attribution (MTA)Job Title: Data Scientist - Multi-Touch Attribution (MTA) Location: Bangalore (3 days work from office) Experience: 3+ years About the Role We are looking for a skilled Data Scientist to lead our Multi-Touch Attribution (MTA) modelling efforts. This role will be instrumental in accurately measuring the impact of each marketing channel and touchpoint on user conversions and business outcomes. You will work closely with marketing, growth, and data engineering teams to develop attribution frameworks, enable budget optimisation, and enhance ROI measurement. Key Responsibilities Develop and implement algorithmic attribution models to quantify the impact of various marketing touchpoints. Apply statistical, probabilistic, and machine learning methods to build MTA models that incorporate online and offline signals. Work with large-scale marketing datasets including impressions, clicks, conversions, and engagement metrics. Partner with marketing teams to improve channel efficiency and campaign planning based on attribution insights. Conduct model validations using holdout experiments and out-of-sample testing to ensure reliability. Automate model scoring and reporting pipelines to provide real-time attribution visibility. Create intuitive dashboards and documentation to communicate findings and influence strategic decisions. Qualifications: 3+ years of experience in data science, marketing analytics, or attribution modelling. Strong hands-on experience with Python, SQL, and relevant data science libraries. In-depth knowledge of MTA techniques such as logistic regression, Shapley values, Markov chains, or time decay. Solid understanding of digital marketing channels and customer journey analytics. Experience with model validation, experimentation design, and lift analysis. Strong problem-solving and communication skills with a product mindset.