554 Predictive Modeling Jobs - Page 17

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Lead AI or ML projects from conception to deployment, ensuring high-quality and scalable solutions Design and develop predictive and prescriptive models using advanced machine learning techniques Apply knowledge of statistics, programming, data modeling, and simulation to recognize patterns and identify opportunities Collaborate with engineers and other stakeholders to build statistical models and apply machine learning techniques for targeted solutions Conduct exploratory data analysis on unstructured, diverse datasets to drive innovative solutions Use analytics and statistical software such as SQL, R, Python, Hadoop, and others to perform analysis and interpret data Provide expertise in modeling and statistical approaches, including regression methods, decision trees, deep learning, NLP techniques, and uplift modeling Develop and evaluate predictive and prescriptive models and advanced algorithms to extract optimal value from data Communicate analysis and findings through interactive visualizations, documents, and presentations Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement Stay updated with the latest advancements in AI/ML and data science, and apply them to improve existing solutions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master's or Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or a related field Proven experience in AI/ML projects, with hands-on experience in coding and deploying AI/ML solutions Experience to deploy and manage AI/ML applications preferable Azure or GCP Proficiency in statistical techniques, machine learning methods, and relevant technologies Proven solid programming skills in languages such as Python, R, SQL, and experience with big data tools like Hadoop Proven excellent analytical and problem-solving skills, with the ability to work with large amounts of data Proven effective communication skills, with the ability to present complex findings in a clear and concise manner Proven self-motivated, curious, and innovative, with a strong ability to work independently and as part of a team At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Applying knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Working with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes Develop company A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree or equivalent experience Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Experience querying databases and using statistical computer languagesR, Python, SLQ, etc. Experience using web servicesRedshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statisticsregression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing toolsMap/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders usingPeriscope, Business Objects, D3, ggplot, etc. Solid problem solving skills with an emphasis on product development Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Proven excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Coding knowledge and experience with several languagesC, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniquesGLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, k-NN, Naive Bayes, SVM, etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Key Responsibilities Develop and implement a comprehensive analytics strategy aligned with organizational objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to uncover strategic insights and process optimization opportunities. Design, build, and maintain data models, dashboards, reporting systems, and performance metrics to support key business decisions. Drive critical business processes such as demand forecasting and the Sales & Operations Planning (S&OP) process. Generate actionable sales recommendations for the trade sales team. Optimize business processes like supply chain networks and inventory management through predictive and prescriptive data modeling. Oversee the delivery of analytical reports and performance insights across functions. Manage and streamline processes related to data intake, validation, mining, engineering, visualization, and reporting. Anticipate and plan for future analytical needs related to people, technology, budgeting, and business objectives. Apply advanced analytics techniques to enhance commercial routines and decision-making. Lead data insight initiatives and ensure effective stakeholder collaboration. Clearly communicate the impact of analytics-driven insights across internal and external teams. Perform critical analysis and deliver actionable business recommendations. Educational Qualifications B.E./B.Tech/M.Tech in Computer Science, Statistics, Data Management, or Business Intelligence OR MBA/PGDM in Data Science, Business Analytics, Business Intelligence, Sales, or Marketing Work Experience Minimum 4+ years of experience in data analytics, including monitoring, managing, manipulating, and drawing insights from complex datasets. Proven track record working with data visualization tools such as Power BI, Tableau, Raw, or chart.js. Preferred/Additional Requirements Strong understanding of data mining principles, predictive analytics, and integrating data from multiple sources (on-premises and cloud-based). Experience with analytical and statistical techniques including hypothesis development, A/B testing, data analysis, and drawing conclusions. Ability to generate actionable insights and recommendations for business units. Team Structure Will work closely with multiple vendor teams . Key Interfaces Internal: Supply Chain, Sales, and Finance Teams External: Analytics vendors Functional Competencies Strong problem-solving and quantitative analysis skills Ability to manage multiple projects, processes, and cross-functional teams simultaneously Excellent collaboration, communication, and stakeholder management skills Behavioral Competencies Critical Thinking: Ability to evaluate complex issues, make informed decisions, and deliver innovative solutions Professionalism: Demonstrates integrity, accountability, strong work ethic, and ethical behavior

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

We are seeking a highly skilled AI Engineer with demonstrated expertise in both traditional Machine Learning modelling and modern GenAI techniques. This role involves building scalable AI systems using foundation models, parameter- efficient fine-tuning (PEFT), and robust MLOps pipelines, while also grounding your solutions in classical machine learning principles. The ideal candidate excels at blending structured data modelling with large language model capabilities to drive intelligent, efficient, and production-ready AI systems. Key Responsibilities: Design, build, and deploy predictive systems by combining traditional ML models (e.g., regression, tree-based, time series) with Generative AI capabilities (e.g., LLMs, embeddings, GenAI-based simulation). Strong skills in prompt engineering are required to support the development and deployment of generative AI solutions. Fine-tune foundation models using PEFT techniques (e.g., LoRA, prefix tuning, adapters) for domain-specific applications. Build and maintain end-to-end MLOps pipelines for model versioning, testing, deployment, monitoring, and retraining. Use LLMs for automating feature generation, synthetic data creation, and prompt-driven scenario modelling. Manage the full AI/ML model lifecycle: experimentation, deployment, monitoring, diagnostics, and iterative enhancements. Apply and validate classical ML algorithms (e.g., XGBoost, LightGBM, ARIMA, SVMs, etc.) as benchmarks or hybrid components. Collaborate with cross-functional teams (data scientists, ML engineers, DevOps, product) to deliver AI solutions aligned with business needs. Deploy and monitor solutions in cloud environments (e.g., AWS SageMaker, GCP Vertex AI, Azure ML, REST(FAST API) with automated retraining and model health checks. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Machine Learning, Data Science, or related field. 3+ years of experience in AI/ML engineering, with proven success in both traditional predictive modelling and LLM-based development. Strong Python programming skills and familiarity with ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, and Transformers. Experience in parameter-efficient fine-tuning (PEFT) using frameworks such as Hugging Face PEFT, QLoRA, or AdapterHub. Proficiency in building MLOps workflows with tools like MLflow, Airflow, Kubeflow, or SageMaker Pipelines. Solid SQL/NoSQL experience and strong data wrangling skills. Hands-on experience deploying models in production cloud environments and containerized systems (e.g., Docker, Kubernetes). Excellent problem-solving, debugging, and communication skills.

Job Summary We are seeking an AI Leader for building Guardrail Platform to drive the design, deployment, and governance of AI guardrails that ensure ethical, responsible, and compliant AI operations . This role involves collaborating with cross-functional teams to implement AI fairness, explainability, bias mitigation, security, and regulatory compliance frameworks across AI/ML pipelines. Roles & Responsibilities AI Guardrail Strategy & Implementation Define and implement AI guardrails to ensure ethical AI development, risk mitigation, and compliance. Establish automated monitoring for AI fairness, bias detection, and explainability. Lead the operationalization of Responsible AI (RAI) principles across the organization. AI Risk & Compliance Management Align AI models with regulatory standards (e.g., GDPR, AI Act, CCPA, NIST AI RMF). Develop governance frameworks for model validation, auditing, and risk assessment . Collaborate with legal, compliance, and security teams to ensure AI transparency. AI Model Security & Reliability Implement guardrails against adversarial attacks, data poisoning, and model drift . Establish secure AI deployment standards to prevent unauthorized AI model access or misuse. Establish DevSecOps pipeline teams to integrate AI security best practices . Operationalization & AI Governance Define AI monitoring KPIs for continuous risk assessment and compliance tracking. Develop automated pipelines to flag high-risk AI behaviors and decision anomalies. Foster a culture of explainable AI (XAI) & transparency for AI-driven decision-making. Cross-functional Leadership & Innovation Partner with product, legal, and engineering teams to integrate AI guardrails into MLOps workflows . Stay ahead of AI regulatory trends, industry best practices, and emerging risks . Competencies Required Skills Education Skills (NOT TO BE USED)

Participate in client engagements in enhancing current statistical models and develop new models for business needs or design of experiments for test/control analysis and business process trials. Consult with cross-functional teams on matters relating to Machine Learning, knowledge discover, data modeling, and analytics. Own predictive models/ML and DOE/A-B testing areas of production ready ML models hosted across multiple systems. Develop business context for environment and ML uses/applications and deep knowledge of data inputs, outputs, and statistical testing/modeling Write/Run data extraction algorithms to acquire data from primary or secondary data sources and ability to describe/direct data requests for representative data necessary for analyses Develop statistical tests and predictive solutions to make business recommendations for decisioning Train/develop models, run evaluation experiments, and perform statistical analysis of results, refine and test / validate models in production Develop understanding of data framework and how it relates to business use, specific process time points, and make recommendations for any new data needs. Coordinate with data engineers to ensure data is representative of analysis solutions. Use of data analytics and other strategies that optimize statistical efficiency and quality Interpret data, analyze results using statistical techniques and provide ongoing reports Identify, analyze, and interpret trends or patterns in complex data sets Work with management to prioritize business and information needs Perform Ad Hoc Data Analysis and reporting for model performance Locate and define new process improvement opportunities for testing and predictive modeling Qualifications Required / Desired Skills Advanced degree in one or more quantitative discipline Operations Research, Stats, Math, Comp Sci, Engineering, Economics or similar Experience in developing a variety of machine learning models algorithms in a commercial environment with a track record of creating meaningful business impact. Proficient with Pyspark, noSQL and Python and distributed programming Expertise working in MongoDb, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deployment Experience in client engagements, interpreting client s business challenges, and recommendations for statistical analysis solutions (ie analytical consulting and solution design) Experience in presentation design, development, delivery, and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts. Experience in Gen AI, LLM Workflow, Graph RAG etc is an added advantage. Flexible to work in shift model.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Findability Sciences is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Sberbank is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journey. Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Why We Work at Dun Bradstreet Dun Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . The Role: As part of Dun Bradstreets Data Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun Bradstreet initiatives. Key Responsibilities: Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and graph analysis in automating and scaling internal business processes. Establish and maintain strong relationships with key business stakeholders. Engage clients and DB colleagues to identify business needs and develop, implement, and manage solutions. Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders. Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring and reporting. Develop Global Analytic Solutions inclusive but not limited to statistical models based on DB s established best practices, methodologies, and tools. Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases. Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions. Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies. Validate the performance of existing quantitative risk models and recommend changes when necessary. Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs. Key Skills Master s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering). 7+ years operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives. Hands-on experience applying modern machine learning techniques. Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL). Experience in feature engineering, automation, network analysis or Natural Language Processing. Experience working with outside clients on statistical engagements. Ability to manage multiple assignments, many of which have challenging timelines. Ability to work independently, as well as collaborate effectively in a team environment. Excellent communication and presentation skills. Proficiency in Microsoft Office Suite. Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success. Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. Where applicable, fluency in English and languages relevant to the working market. . .

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2 to 7 years of experience in the BFSI industry, with expertise in credit operations. Roles and Responsibility Manage and process loan applications according to company policies and procedures. Conduct thorough credit analysis and risk assessments to determine client creditworthiness. Develop and maintain relationships with existing clients to ensure timely payments and resolve any issues that may arise. Collaborate with internal teams to identify new business opportunities and grow the bank's customer base. Monitor and report on credit portfolio performance, identifying areas for improvement and implementing strategies to mitigate risks. Ensure compliance with regulatory requirements and industry standards in all credit-related activities. Job Requirements Strong knowledge of credit operations, including credit scoring, underwriting, and risk assessment. Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and colleagues. Proficiency in Microsoft Office and other banking software applications. Ability to work in a fast-paced environment, meeting deadlines and achieving targets. Strong analytical and problem-solving skills, with attention to detail and accuracy. Experience working in a similar role within the BFSI industry is preferred.

We are looking for a highly skilled and experienced Credit Analyst to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-2 years of experience in the BFSI industry. Roles and Responsibility Analyze credit data to determine client creditworthiness. Develop and maintain relationships with clients to understand their financial needs. Conduct thorough credit risk assessments and provide recommendations. Collaborate with cross-functional teams to develop and implement credit policies. Monitor and report on credit portfolio performance metrics. Stay up-to-date with industry trends and regulatory changes affecting credit analysis. Job Requirements Strong understanding of credit principles, including credit scoring and risk modeling. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment and meet deadlines. Strong communication and interpersonal skills, with the ability to build rapport with clients. Proficiency in credit management software and Microsoft Office applications. Ability to think critically and make sound decisions under pressure.

Research in Nokia Standards (NSD) comprises fundamental systematic research of an exploratory nature for developing new products and services as well as disruptive technologies superseding conventional approaches. It covers the provision of a comprehensive understanding of scientific insights, specifically leading to (pre-) standardization of ideas and concepts for 6G technologies and beyond. In light of the recent advancements in artificial intelligence (AI) and data monetization, 6G will be the first mobile system built around and for datafirst, 6G will be the first generation of fully AI-native mobile systems where new AI features will enhance traditional solutions. Secondly, 6G will be designed according to a data-driven approach, where quantitative data and measures collected in past releases will help in shaping the design of 6G. Thirdly, 6G will be conceived to convert the massive data generated by mobile systems into valuable and monetizableinformation. You must have: Strong technical background in data science and modern data management techniques. Solid knowledge of data analysis techniques to analyze data generated in wireless systems to optimize their performance. Proven experience in data engineering methods to represent data including hands-on experience in developing data management and AI tools. Excellent written and interpersonal communication skills. Leadership and collaborative mindset with the ability to work autonomously. Strong professional ethics, open communication, and ability to rectify mistakes quickly. It would be nice if you also had: Knowledge of language processing techniques (NLP, GenAI, transformers) including hands-on experience of the tools. Experience in simulation of dynamic systems, especially for wireless communication systems (link and/or system level). Hands-on experience with AI/ML techniques applied to wireless communication. Proven software development skills with C/C++ programming language. Proven track record of innovation like publications in top conferences and journals. Drive data science progress in 6G technology and build the next generation mobile systems around modern data management approaches. Drive progress as a technical lead, contributing to new products, processes, and standards on data science for future 6G systems. Work with a world-class team to drive 6G technologies in global standardization. Carry out specialized activities/projects, demonstrating adaptability in complex business environments. Communicate within and outside the team, influencing others to accept new concepts and practices.

Strong proficiency in Python and/or R for data analysis and modeling. Advanced SQL skills for data querying and transformation. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Solid understanding of statistics, hypothesis testing, regression analysis, and data mining. Familiarity with cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Hadoop) is a plus. Excellent problem-solving skills and attention to detail.

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What Youll Do As a Senior Manager within Audience Insight and Marketing Analytics, you will lead customer insights and marketing analytics efforts within BCG s global digital marketing team. Your role will be crucial in scaling ability to leverage audience insights to shape marketing strategies, optimize audience engagement, and enhance personalization efforts across BCG s campaigns as well as provide direction to shape analytical products to deliver insights to internal stakeholders. You will be responsible for integrating and analyzing data from multiple marketing channels and platforms, developing audience segmentation models, and applying predictive analytics to uncover trends and behaviors. The insights generated will guide marketing leadership in making data-informed decisions, improving campaign effectiveness, and refining BCG s content and engagement strategies.. Considering that this is a global role, the expectation would be that you would be willing to work 11am to 8pm IST to have overlap with our global colleagues. KEY RESPONSIBILITIES Data Integration and Analysis: Collect, integrate, and analyze data from various marketing channels, CRM platforms, Snowflake, Demandbase, and other data sources. Ensure data accuracy and integrity by conducting audits and validations. Use statistical methods, machine learning models, and predictive analytics to identify audience trends and behaviors. Insight Generation: Develop audience segmentation insights and findings based on behavioral, engagement, and firmographic data. Conduct in-depth marketing funnel analysis to optimize customer engagement and conversion rates. Translate complex data sets into clear, actionable insights that inform marketing strategies and business decisions. Identify opportunities for campaign optimization, persona refinement, and content strategy improvements. Support for Marketing Initiatives: Lead audience-focused data analytics to enhance global marketing campaigns and always-on marketing activities. Provide data-driven recommendations for audience engagement, content targeting, and personalization strategies. Support persona and customer journey development through robust data analysis. Metrics Analysis and Reporting: Develop and maintain real-time dashboards and reports in Tableau and Power BI to track key audience and engagement metrics. Conduct thorough performance analysis of marketing campaigns, identifying trends and areas for optimization. Present insights and data interpretations to stakeholders through clear visualizations, reports, and executive briefings. Monitor and report on the effectiveness of marketing strategies and audience segmentation approaches. Cross-Functional Collaboration and Communication: Partner with CX, content, and digital marketing teams to refine customer insights and improve engagement strategies. Act as a trusted advisor to senior marketing leadership, ensuring data insights drive decision-making. Work closely with data science, analytics, and IT teams to enhance data infrastructure and analytics capabilities. Present findings and strategic recommendations to senior stakeholders. Process and Documentation Management: Develop and document best practices for data management, audience analytics, and reporting methodologies. Implement standard operating procedures for data collection, segmentation, and marketing attribution. Champion best practices for data-driven marketing strategies within the team and across global marketing functions. What Youll Bring 10+ years of experience in marketing analytics, audience insights, or data-driven strategy roles Demonstrated expertise in paid/earned/owned channels a plus Expertise in data visualization tools (Tableau, Power BI) and marketing analytics platforms Hands-on experience with CRM systems, Snowflake, Demandbase, Google Analytics, and other marketing data sources Advanced skills in marketing funnel optimization, segmentation modeling, and campaign performance analysis Strong knowledge of Python/R for predictive modeling, statistical analysis, and audience segmentation Strong stakeholder management and ability to translate complex data into strategic recommendations Excellent communication and presentation skills for senior executives Experience in consulting, B2B marketing, or professional services industries is a plus Who Youll Work With You will work closely with members of Marketing Analytics and collaborate with BCG s CX, content, and digital marketing teams to refine audience insights and enhance marketing effectiveness. Additionally, you will partner with data science, analytics, and IT teams to improve data infrastructure and marketing analytics capabilities. ",

Leads GLOBAL DATA SCIENCE ADVANCED ANALYTICS within the Analytics Continuum Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms You connect the dots - Merge multiple data sources and build Statistical Models / Machine Learning models in Price and Promo Elasticity Modeling, Marketing Mix Modeling to derive actionable business insights and recommendation Assemble large, sophisticated data sets that meet functional / non-functional business requirements Build data and visualization tools for Business analytics to assist them in decision making You are a collaborator - Work closely with Division Analytics team leads Work with data and analytics specialists across functions to drive data solutions You are an innovator - Identify, design, and implement new algorithms, process improvements: while continuously automating processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Qualifications What you ll need BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building data models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory), R, SQL, PySpark, SparkR Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build, Cloud Run. Knowledge of using GitHub, Airflow for coding and model executions and model deployment on cloud platforms Working knowledge on tools like Looker, Domo, Power BI and web apps framework using plotly, pydash, sql Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment What you ll need (Preferred) Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Effectiveness Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience visualizing/presenting data for partners using: Looker, DOMO, pydash, plotly, d3.js, ggplot2, pydash, streamlit etc Willingness and ability to experiment with new tools and techniques Ability to maintain personal composure and thoughtfully handle difficult situations. Knowledge of Google products (BigQuery, data studio, colab, Google Slides, Google Sheets etc)

Position Summary The BI Developer reports to the Business Intelligence Manager and is responsible for combining raw information from disparate IT source systems into data models, reports and dashboards to deliver business insights. The successful candidate will be able to complete the full lifecycle of development of data from the ETL process through to final deliverable of dashboards into the organization. To succeed in this BI Developer position, you should have strong analytical skills and the ability to develop and maintain data and security models using modern techniques. If you are detail-oriented, with excellent organizational skills and experience in this field, we d like to hear from you. Responsibilities for a BI Developer position include: Essential Duties and Responsibilities Participate in business requirement gathering and solution documentation Build required infrastructure for optimal pipeline management, including extraction, transformation and loading of data from various data sources using Azure Data Factory, Databricks and SQL technologies Assemble and analyze large, complex sets of data that meet non-functional and functional business requirements Implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes Work with users to assist them with data-related technical issues Implement and test data and security models Prepare data for prescriptive and predictive modeling Develop interactive visual reports, dashboards, charts, and measures with KPI scorecards using Microsoft Power BI desktop Analyze, design, deploy, troubleshoot, and support Power BI solutions Participate in user acceptance testing Explore and implement ways to enhance data quality and reliability Collaborate with data scientists and architects as needed Education Bachelor s degree (B.S./B.A.) in computer science, information systems, informatics, statistics or another quantitative field or equivalent from a college or university with IT focused specialization. A Master s Degree or Data engineering certification (e.g, Azure Certified Data Engineer) is a plus Skills/Experience 5+ years experience as a BI Developer or related experience in a global company with significant experience in hands-on technology delivery roles. Strong data analytics background with experience in developing use cases, deep understanding of managing data and generating insights thru visualization Background in custom build experience using Power BI Report Builder, Power BI Desktop, Power BI Service, Tabular Editor, ALM Toolkit and DAX Studio designing Power BI data models; including writing complex DAX, SQL queries and implementing role level security Ability to understand data modeling, data schemas (normalized, flat, star, snowflake, etc.), query optimization, query profiling and query performance monitoring tools and techniques Knowledge of programming languages (e.g. Java, AngularJS, Python) Implement data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Blob Storage. Monitor and optimize data workflows for performance and reliability. Experience with workflow management and pipeline tools - Azure Data Factory and DevOps; storage technologies - Azure Data Warehouse and Data Lake; stream-processing systems - Event Hub and Stream Analytics; transformation tools - Databricks; visualization tools - PowerBI; and metadata management systems. Experience with big data tools like Spark is a plus as well as knowledge of Pyspark. Familiarity with Machine Learning and Deep Learning concepts are a plus Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata Experience working with unstructured datasets Hands-on experience with optimizing performance of SQL queries and applications Great numerical and analytical skills Ability to collaborate with technical resources to influence algorithms and other technology for improved customer experience Physical Demands To perform this job successfully, the physical demands listed are representative of those that must be met by an employee. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, use hands to handle and feel, reach with hands and arms, talk and hear. The employee may occasionally be required to crouch. The employee may occasionally lift items as heavy as 25lbs. Specific vision abilities may include the employee s ability to see near and far distances. DISCLAIMER: The above information on this job description has been designed to indicate the general nature and level of work performed by the employee within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of any employee assigned to this job. Nothing in this job description restricts management s right to assign duties and responsibilities to this job at any time. Who we are: Mold-Masters is a global leader in the plastics industry. We design, manufacture, distribute, sell and service highly engineered and customized plastic processing equipment and systems. Our hot runners, temperature controllers, auxiliary injection and co-injection systems are utilized by customers of all sizes in every industry, from small local manufacturers to large worldwide OEM manufacturers of the most widely recognized brands. Over the course of our 50+ year history, weve built our reputation on delivering the best performance through our broad range of innovative technologies that optimize production to enhance molded part quality, increase productivity and lower part cost. Unlock your operations full potential with Mold-Masters. Mold-Masters is an Operating Company of Hillenbrand. EEO: The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individuals age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for for which you are applying. At Hillenbrand, everyone is welcome to apply and "Shape What Matters for Tomorrow".

Machine Learning III Chennai, Tamil Nadu, India Apply now Share Company Overview At Zuora, we do Modern Business . We re helping people subscribe to new ways of doing business that are better for people, companies, and, ultimately, the planet. It s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world s most innovative companies to monetize new business models, nurture subscriber relationships, and optimize their digital experiences. The Team Role The Corporate Data team at Zuora is responsible for building a data mindset culture within the company. We aim to maximize the value of our data to improve the customer experience and boost company growth and employee productivity. Our team includes data engineers, data scientists, and machine learning engineers working closely to design and build complete solutions. As a Machine Learning Engineer on the team, you ll have the opportunity to: Design and implement ML and AI-powered products that leverage the wealth of mission-critical subscription, billing, and payment data our customers manage on the Zuora platform. Evaluate and improve model accuracy, scalability, and performance using appropriate metrics at the industry scale. Research and experiment with cutting-edge ML techniques and optimize model performance to enhance existing and new smart products. Deepen your knowledge of the customer lifecycle at a B2B company and contribute directly to maximizing revenue and customer retention. Collaborate with product teams, data engineers, and customer success teams to create end-to-end solutions that scale in production. What you ll do The business outcomes you will impact include (but are not limited to): Improvement of Current Systems: Gather metrics on the performance and effectiveness of the current product. Continuously fine-tune retrain models to ensure the systems remain efficient. New Product Feature Development: Proactively identify opportunities to enhance our product offerings with machine learning and AI-driven features. Lead the design and development of innovative solutions that align with market demands and customer needs. Best Practices and Governance: Establish and document best practices for training, evaluating, and operating machine learning and AI models. Promote a culture of responsible AI and ensure compliance with data privacy regulations. Your experience and skills Bachelor s or Master s in Computer Science, Statistics, Machine Learning, or a related field. 3+ years of relevant technical experience as a Data Scientist, Machine Learning Engineer, or Sofware Engineer Exposure to relevant business domains, including sales, marketing, subscription management, accounts receivable, payment processing, and product analytics. Proficiency in python and common machine learning frameworks such as scikit-learn Solid understanding of software development life cycle and software engineering principles Experience with one or more subfields - sentiment analysis, predictive modeling, etc. Understanding of the machine learning pipeline for deployment and production Excellent communication and teamwork skills to collaborate with cross-functional teams. A passion for staying updated with the latest advancements in data science and AI. #ZEOLife at Zuora As an industry pioneer, our work constantly evolves and challenges us in new ways that require us to think differently, iterate often, and learn continually it s exciting. Our people, whom we refer to as ZEOs are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply and exchange different ideas openly. Together, we re making what s next possible for our customers, community, and the world. As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected, and valued, we support ZEOs with: Competitive compensation, variable bonus and performance reward opportunities, and retirement programs Medical insurance Generous, flexible time off Paid holidays, wellness days, and company-wide end-of-year break 6 months of fully paid parental leave Learning Development stipend Opportunities to volunteer and give back, including charitable donation match Free resources and support for your mental wellbeing Specific benefits and offerings can be discussed during the interview process. Location Work Arrangements Organizations and teams at Zuora are empowered to design efficient and flexible working methods, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility flexibility to live our lives to the fullest and responsibility to each other, our customers, and our shareholders. This location-specific position requires you to come to the Chennai or Banglore Zuora office at least twice a week on average! Our Commitment to an Inclusive Workplace Think, be, and do you! At Zuora, different perspectives, experiences, and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. Zuora does not discriminate based on and considers individuals seeking employment with Zuora without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants requiring special assistance or accommodation during the interview process or while accessing our website may email us at assistance(at)zuora.com. Apply now Let s do this. You re unique and we re on a journey so let s embark on a unique journey together. We encourage you to apply to all roles that utilize your skills and ignite the passion within you. No matter where you re located, or which team you work on, you ll be part of a group of people working together to build a better world: The World Subscribed. Go ahead and apply! Internal Job Opportunities Are you a current ZEO looking to take on new challengesIf so, check out our internal job openings on our internal job board .

Responsibilities Requisition ID R-10359114 Date posted 05/21/2025 End Date 06/30/2025 City Thane State/Region Maharashtra Country India Location Type Onsite Calling all innovators find your future at Fiserv. Job Title Jr. Data Scientist (Analyst III), Fraud & Credit Risk - Decision Science What does a successful Data Scientist, Fraud & Credit Risk - Decision Science do at Fiserv? As a Data Scientist in Fraud & Credit Risk - Decision Science at Fiserv, you will play a pivotal role in our Global Business Solutions (Merchant business) team. You will be responsible for developing and deploying predictive ML models that automate risk controls, reducing fraud and credit risk losses while driving top-line growth. Your efforts will generate insightful analytics, build models/rules, and create data-driven solutions to manage risk and identify new opportunities. This role interfaces with internal and external stakeholders to deliver best-in class analytical solutions and supports functions including New Merchant On-boarding & Underwriting, Existing Merchant Risk Monitoring, and more. What will you do? - Develop and deploy ML/predictive models using internal and external data. - Track and monitor model performance and provide analytical support for business decisions. - Conduct complex analysis using statistical and quantitative techniques. - Evaluate and integrate data from various sources for modeling, analytics, and reporting. - Generate insights from data to assess key performance indicators/trends. - Partner with business and technical SMEs to analyze and solve business problems. - Support the transformation of risk data capabilities through advanced technology and real-time decision-making. - Implement models and decision rules in production with IT/deployment teams. - Develop documentation to meet internal and external stakeholder requirements. - Coach junior team members and oversee project delivery. What you will need to have ? - Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, or related field. - 7+ years of experience in risk/marketing data analytics or predictive modeling. - Proficiency in SQL, Python, SAS, or other analytical tools/open-source programming languages. - Strong technical skills and problem-solving ability. - Excellent communication and interpersonal skills. What would be great to have ? - Masters degree in Mathematics, Statistics, Computer Science, Engineering, or related field. - 10+ years of relevant experience. - Experience in statistical/financial modelling in the FinTech/Payment s domain. - Experience with credit bureaus and other external data sources. -Hands-on experience with AI/Money Laundering techniques Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related -field. 8-10 years of professional experience with atleast 6 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

Amazon s Global Catalog Operations team is looking for a customer focused Business Analyst to help us make the world s best product catalog even better. The successful candidate should be able to leverage the latest in data mining, predictive modeling and business analysis to discover key meaningful, actionable insights to improve our catalog quality. You have excellent quantitative and data analysis skills, good business acumen, curiosity to learn, superior communication skills, and the ability to use data and models to influence cross-functional teams. You have a strong bias toward data driven decision making, and an innate ability to understand how metrics relate to business problems and to each other. You are experienced with and excited by mining multiple large and complex datasets in order to deep dive and understand the root causes of problems and make recommendations. In this role, the Business Analyst will be responsible for leveraging data driven approach to proactively identify opportunities to improve the quality of Amazon s catalog by performing the following: Partner with technology leaders, program managers, operations leaders and other internal stakeholders globally to identify, quantify and solve for opportunities to improve Catalog Quality. Define, design, measure and present metrics / reports on different programs to Senior Level Management. Helping operations with regular and ad hoc query/ data ETL jobs and work on simplifying/ standardizing operational metrics and reporting Enable effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format. Develop solutions that utilize the highest standards of analytical rigor and data integrity. Analyze and solve business problems for understanding root causes and driving forward-looking opportunities Propose optimal techniques to sample massive product catalog for humans to audit different dimensions of data quality issues Establish relationship between output metrics and drivers in order to identify critical drivers and control critical drivers. Ability to write functional specs for tools and drive UAT for business requirements About the team High quality data powers unrivalled product discovery, informs customer buying decisions, offering a large selection. The quality of Amazon s product catalog is one of the most significant controllable inputs into building great customer experiences. Now take the world s largest product catalog and imagine how you could influence the experience for millions of customers on the world s largest e-commerce site. Amazon s Catalog Quality group own catalog quality. We combine customer behavior and expert knowledge to identify pathologies, define quality standards, and measure the state of the catalog. We build scalable solutions which improve both the buying and selling experiences at Amazon. - 1+ years of tax, finance or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Knowledge of Python, VBA, Macros, Selenium scripts - Experience working with Tableau - Experience using very large datasets