[Remote] Senior Data Scientist

Note: The job is a remote job and is open to candidates in USA. Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. The Senior Data Scientist will drive predictive analytics and machine learning initiatives, focusing on building scalable, production-ready ML solutions across various domains while ensuring measurable business impact.ResponsibilitiesLead end-to-end data science initiatives for predictive analytics use cases such as demand forecasting, churn prediction, and risk modelingTranslate business requirements into ML problem statements and define appropriate modeling approachesDesign, build, and deploy machine learning models using traditional ML techniques (regression, classification, clustering, time series)Drive feature engineering, data preparation, and exploratory data analysis to improve model performanceDevelop and manage scalable ML pipelines from data ingestion to model deploymentDeploy and manage models on AWS using services such as SageMakerEnsure model performance through validation, monitoring, and periodic retrainingCollaborate with data engineering and MLOps teams to productionize ML solutionsApply best practices for model governance, explainability, and responsible AIMentor junior data scientists and provide technical leadership while remaining hands-onCommunicate insights, model outputs, and recommendations effectively to business stakeholdersSkills8+ years of relevant hands-on technical experience implementing, and developing cloud solutions on AWSStrong experience leading predictive analytics initiatives using traditional ML techniques including regression, classification, clustering, and time series forecastingHands-on experience with time series forecasting models including SARIMA, Prophet, and other ML-based forecasting approachesProficiency in Python with experience in libraries such as scikit-learn, XGBoost, Pandas, NumPyKnowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacksProven ability to translate complex business problems into scalable ML solutions, driving feature engineering strategies and end-to-end model developmentHands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing JobsExperience leading model deployment on AWS SageMaker with a strong focus on performance optimization, model governance, and measurable business impactImplement and manage MLOps based model lifecycle and best practices for ML architecture in production environmentsExperience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etcAbility to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etcExperience in building model monitoring and explainability workflows in production environmentsExperience defining and driving model governance frameworks and performance monitoring strategies in production environmentsAbility to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutionsExperience with Generative AI developmentExperience working on Infrastructure as Code (IaC) and CI/CD pipelinesBenefitsJoin one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.Company OverviewQuantiphi is a digital engineering company that provides data science and machine learning software and services. It was founded in 2013, and is headquartered in Marlborough, Massachusetts, USA, with a workforce of 1001-5000 employees. Its website is http://www.quantiphi.com.Company H1B SponsorshipQuantiphi has a track record of offering H1B sponsorships, with 2 in 2026, 45 in 2025, 65 in 2024, 45 in 2023, 94 in 2022, 71 in 2021, 46 in 2020. Please note that this does not guarantee sponsorship for this specific role.